Hello and welcome my name is Shannon Kemp and I'm the Executive Editor of Data University. We'd like to thank you for joining this month's installment of the Monthly DAMA International Webinar Series. This Webinar Series is designed to give our Enterprise Data World Conference attendees education year round. We are excited about the upcoming Enterprise Data World 2016 to be held in San Diego, California April 17th through 22nd. We've already had a lot of inquiries about that so to be sure to save the date. This Webinar is being presented by long-time well-known EDW speaker David Marco. Today he will be discussing 10 keys to world-class metadata management. Just a couple of points to get us started. Due to the large number of people that attend these sessions, you will be muted during the Webinar. For questions, we'll be collecting them by the Q&A in the bottom right-hand corner of your screen. Or if you'd like to tweet, we encourage you to share highlights or questions by Twitter using hashtag DAMA. As always, we will send a follow-up email within two business days containing links to the slides, the recording of the session, and additional information requested throughout the Webinar. Now, let me formally introduce today's speaker, David Marco. David is the President of EW Solutions, GASA Schedule and Chicago Headquarters Strategic Partner and Full Life Cycle Systems Integrator, dedicated to providing companies and large government agencies with best-in-class award-winning solutions using Enterprise Information Management, Big Data, Data Warehousing, Data Governance, and Managed Metadata Environment Technologies. You can find them at ewsolutions.com. For more key details, he is best known as the industry's top authority on metadata management, wrote the two top-selling books in the field and is the father of the Managed Metadata Environment. He is an internationally recognized expert in the fields of master data management, data governance, big data, data warehousing, and Enterprise Information Management. In 2004, David Marco was selected as the world-famous Crane's Chicago business top 30, or excuse me, under 40, and in 2008, he was awarded the Dame of Professional Services Award, the highest honor in our industry. And with that, I will turn the presentation over to David to get us started. Hello and welcome. Shannon, thank you so much. And welcome to everybody here on the webinar. So the webinars are interesting. I've had an opportunity to do many of them over the decades in this industry. And they're one of the most challenging things because I don't get to see all of your bright shining faces. But the good news is we have tons and tons of information. We're going to walk through. We're going to have a little bit of Q&A at the end, so let's dive into the topic. So we're here to talk about metadata management, and we're going to talk a lot more than just about the top 10 things to avoid. This slide just gives the company background. We've been very blessed. We've had many successful clients, and we've won pretty much all the awards you can in this industry. So what I'm going to attempt to do in today's webinar is to give you the best practices. What are companies doing today to be successful? And what are the things companies do that lead them into not so successful implementations? Because really, this is all about building successful solutions for your company. I also included on slides for my background and an email address where people can reach me. And with that, let's look at our agenda. All in under 45 minutes, we are going to look at metadata management fundamentals. We're going to talk about the differences between business metadata and technical metadata. I'm going to walk you through the metadata management use cases so you can actually see it in action. We're going to talk about metadata return on investment, or ROI. Why is this valuable? I'm also going to teach you the managed metadata environment. This is the application that manages our metadata. So I'm going to show you its key architectural components. And we'll talk about it for a little bit. And then it's one of the favorite things people love to hear at talks I give is my top 10 list. If you're doing, if you're building a metadata management solution, these are the top 10 things you want to make sure you avoid doing, if you want to be successful. Last but absolutely not least, I'm going to give you two world class case studies. We're going to look at two companies, or I should say two organizations. One is a large company Fortune 500. And the other is a massive federal agency. So for all of you federal folks out there, you're going to get something for you too. So if that all sounds good, let us move forward. So let's look at some metadata management fundamentals. So first off, what is metadata? I teach a three day certified course on this topic. And I love asking people their definition for metadata. So let me make sure I define these concepts so that we are all on the same page. So what is metadata? Metadata contains the knowledge that a field is called customer named, or it's 40 characters in length that it exists in all these different systems. And maybe our company has three systems, which contain customer master data. These systems are so on and so forth. So metadata is all that information, all that stuff around the data. When we talk about data, what we're talking about is a specific instance of data, for example, customer name equaling John Doe. John Doe is a specific instance of the attribute named customer name. And then what's information? It's data that is meaningful to our business users, our decision makers. What does that mean? It means they understand it and they know exactly what they are supposed to do with it. So let's kind of develop this topic a little more. I can go up to anybody in this audience and I can present you data. I can tell you 24, 38, 7. All right, make some decisions about your company. 24, 38, 7, go. I'm your boss and whether or not you have a job tomorrow depends on your answer to that question. You'd probably be looking at me oddly saying, well, wait a minute, 24, 38, 7, how could I make any decisions with that? Well, that's good clean data, but what happened? I gave you data or content, but what didn't I do? I didn't give you context or metadata. So if I told you those are sales figures for your division over the last three quarters, you could see, oh, sales are going up, sales are going down. You would actually then understand what you're looking at because what we are trying to get to is information. And when you take data, when you take content without context, you don't have information. It's like when you present data to your knowledge workers without metadata, you don't have information. Content plus context, data plus metadata equals information. And the term I like even better than information is actionable information, meaning I present this information to my business user and they know exactly what action they are supposed to take. Oh gosh, I need to call Mary right now because we have a problem or I need to avoid Mary because my group has a problem, whatever the case may be or I need to do nothing at this point. Meaning you present them the information, the content and the context and they know exactly what they are supposed to do. That's the real goal because a huge challenge we have in our industry today is we are presenting our business users with a glut of data, a glut of content but it doesn't have metadata and it doesn't have context so they are swimming in the data, they are making non-profitable decisions or actually very damaging decisions as we will see as this presentation progresses. In addition, they are not getting value and they are falling behind their competition who is doing it better. So at the end of this webinar you should be well on your way to understanding what it takes to do this properly. So let's look at a little bit of the managed metadata environment and that's a term used for not just the application but the environment that manages our metadata and I will show you this as we move forward but first we are going to look a little bit at ROI. So the key to your company's prosperity is how well you gather, retain and disseminate knowledge and a managed metadata environment are all about gathering, retaining and disseminating knowledge that's what this is about. So hopefully when I show you these use cases you will kind of see what I mean so let us press forward undaunted in our study. So there are two major categories for metadata, business metadata and technical metadata. You can read an article out there that maybe will show you six different kinds or eight different kinds. I think I even recall seeing one that had 16 different kinds which is very binary for you old coders out there but when you look at it really they are just derivations of these two and I really believe the terms business metadata and technical metadata in my experience having implemented dozens of these applications it is the best way to communicate and categorize what we are building for our company. So let me hit it, what is business metadata? Business metadata helps provide a semantic layer between your company's IT systems and your business users. This way when you are presenting them data, the content, you are also giving them the context. So again business metadata provides a semantic layer between your company's IT systems and your business users. Technical metadata provides, helps your IT department better manage, maintain and grow your company's, your organization's IT systems. So I will say that again, technical metadata helps your IT department better manage, maintain and grow your IT systems and I will develop these thoughts as we press forward. So let us look at business metadata. Why is it valuable? Why is it valuable adding context to the content, metadata to the data? Number one, it reduces training costs. This is a big deal. Let's suppose you worked at a car insurance company, major car insurance company and you have been there 20 years.   They have a code A means mains car, a code B means SUV, a code C means luxury car and you came from a company where code 3.4 meant luxury vehicle and 2.8 meant SUV and so on and so forth. And just learning those codes and how it translates can take months if not years to learn. And for those of you who are in the insurance business, you know exactly what I am talking about. You live in a very code driven world. So it really reduces those training costs. Number two, it makes our strategic information, that enterprise information so much more valuable. So for example, if you look at companies today, everybody is trying to make better enterprise decisions whether it is data warehousing, whether it is CRM, customer relationship management, SCM, supply chain management, big data analytics, all those different things. They are all about enterprise level decisions and what they really want is actionable information. They want to limit incorrect decisions. They want to help our analysts find the information they need. Notice I said information and not data and to do it in a timely manner. And it really helps bridge that gap between our business users and our IT professionals. And of course, all this increases the confidence in our IT system. So I have kind of talked in general what it is. Now let's take a look at business metadata. What we have here is a classic data warehousing report. The exact kind of report probably many of you have seen over and over again. It is the global and I am going to try to use, we are going to try to make this interactive. Laser pointer here, the 2015 monthly global sales report. This report shows by month, by product category, sales in US dollars, sales international dollars and then total. Seems like a pretty straightforward report. However, I am going to show you that there is a little bit more to this. What if you could right click or hot key or hit F1 on this column, US sales dollars. What if you could do that and actually pull up a business metadata definition for that column. And that is exactly what I am showing down here in this balloon. And what does it say? It says sales dollars in the United States is comprised of aggregated sales revenue. So we are aggregating. We are bringing things together from the United States, Canada and Mexico. But we do not subtract sales dollars from returned orders. Wait a minute. How many of you, when you just read, I am going to try to use a new piece of functionality here. So we will see how this looks on the screen. How many of you would have known? Well, that didn't look too good. But anyway, I will just go back to my checkboxes here. How many of you would have known that US sales dollars were comprised of Canada and Mexico? Probably nobody would. Now, some of you are saying, well, wait a minute. I have seen this speaker's bio before. He is taught at the University of Chicago. This is some academic theory thing. Absolutely not. If you have worked at a manufacturing company, you are probably looking at this saying, I know exactly what this is. Because many manufacturing companies consider Canada and Mexico as part of US sales dollars. And why do they do that? Because they can get their product there on a truck. The same companies, many of them consider Hawaii and Puerto Rico international. Why? Because you can get their product there because they have to use a plane or a boat to get their product there. And then when you look at this definition, how many of us knew, just by looking at that column heading, that we were not subtracting sales dollars from return orders? Well, none of us would have known that. We would just be guessing, is that a factor? Absolutely. What if there is a massive recall on our televisions here for the month of November? Well, would you want to know about that recall? If you're the vice president of marketing or of advertising or a finance and you're looking at this report, you better believe you want to know that information. And you can see this definition that I selected. And I'm sure there are some of you out there who have you built MMEs in your past or maybe you're currently building one. Or supporting one. You know I gave a very simplified definition because in the world, and I did that so that it would be easy to explain, but in the business world we get much more sophisticated. So hopefully this makes sense because I'm going to move on and show you some more use cases. So let's take a look. Same exact report and earlier I showed you column level business metadata definitions. Now let's take a look at a row. Again, wouldn't it be great if you could right click or hot click on a row and actually get information quality or data quality statistics? If you could on this row, what you would discover is 1.7% of the records were not loaded. Well, that's a problem. But look what else we see. 8.4% of the dollar values were not loaded. Now is this valuable? Absolutely. If I am making strategic decisions based on the sales numbers for television in the month of November, I want to know that the numbers I'm looking at are skewed by as much as 8.4%. Now some of you may be sitting out there saying, wait a minute, wait a minute, how are you getting this? Is this some kind of special industry guru magic that provides these numbers? Well, absolutely not. When you build, I'm a past data warehouse architect, and I used to build ETL processes. And so even with that I'm working with a client now under data warehouse architecture. Well, one of the things you do as an architect is you trap errors. There's always errors that happen in an ETL process, ETL extraction, transformation, and load. And so many times we should already in our error process and capture the statistic that 1.7% of our records were not loaded. The 8.4% is nothing more than summing up the dollar values of those records we didn't load, and then loading all this metadata into our MME. That's really all we're doing differently than what a data warehouse does. We're just summing up to get the dollar values and loading this valuable metadata into the managed metadata environment. Let me continue on. I could spend another 20 minutes on that slide. So that is a quick overview of business metadata. I should mention if you go to our website, edwsolutions.com, I have probably over 100 articles that I've published that are available. And you can download and read them at your leisure if you want to get a little bit more of an in-depth discussion. But let's look at technical metadata. What's technical metadata? It's metadata to help metadata that helps our IT departments that are managed, maintained, and grow our IT systems. That's what it is. So let's take a look at some case studies or some use cases in this area. So before we do that, we need to ask the question, what do our current IT systems look like? Well, I venture to give you, venture to hypothesize that I think our IT systems look like this. If we were all together in a room, I would ask somebody in the audience to walk me through in great detail what this chart means. Well, clearly you can see by looking at it, it is incomprehensible. And this chart was actually modified from one of our clients. They're just a small, I shouldn't say small, but a mid-sized company. So they're not one of our massive customers. But when you look at it, and it's only data warehousing, what do we see? We see all these different operational applications feeding eight independent data marks. And this type of architecture, which I am saying is the common one used in companies. And it's absolutely, as I've seen it, over and over again. We had a chance to re-engineer this architecture, and I'll quickly, I could spend the rest of the webinar on this slide because it's so riveting. Let me share with you the problem. Massive amounts of process redundancy. You could just look at it and see it. Massive amounts of data redundancy. In this particular ecosystem, this data ecosystem, they had seven-fold needless data redundancy. What does that mean? If they were using seven terabytes to load and manage this, they could have done all that work with one. That's how much needless redundancy. And when I say needless, I mean that word needless. They still have backups. They still have copies. They still have staging, the whole nine yards. And when you look at it, all these problems put together, they give you erratic results. You don't have a single version of the truth. I could think of a large telecommunications company. Massive out in the Midwest. And I remember we got to work with them because they had a new CIO. And why did they have a new CIO? Well, the old CIO had spent $50 to $70 million on data warehousing. And the CEOs went up to him one day and said, I want to take our top 20 customers to this big PGA event that was happening locally. Here's the problem. He got four different answers to his question. At that case, the fit hit the sham, and the old CEO lost his job.  And that's sadly the state of our systems today. So let me keep moving forward. So technical metadata, why is it valuable? It's first and foremost, and it's the first bullet you're going to see here. It dramatically reduces the probability of project failure. And this is a big item. When you look at our IT projects today, if we are attempting to do any kind of significant large IT initiative, the failure rate is somewhere between 45 and 70%, depending on how you measure failure. Well, imagine if the brakes on your car failed that often. None of us would drive. We would all be world-class tour de France bike riders. If a brake failed that often. And I live in Chicago, where we always have a foot of snow on the ground. So it would be very hard for me to get around. Anyway, and this issue of project failure is significant. I was just in Phoenix keynoting their big day-a-day, and it was all on big data. And I shared the failure statistics around big data, and they are shocking. 55% of the projects don't even complete. So they don't even get the failure. They can't even complete. Of the 45% that do, they're failing at, depending on the citation, you look at somewhere in the 60 to 80% tiles. So these are very, very significant statistics. And these failures are happening because we don't understand our data. We don't know what it means, and we don't know where it's located. We don't know it's valid domain values, and we don't understand it. Metadata management, along with data governance too, but there's a metadata talk, provides that answer. So let me continue forward. Okay, slide 22. What is a technical impact analysis? A technical impact analysis is a metadata-driven report that helps you assess the impact of a proposed change on your IT system. So it is a technical, metadata-driven report that helps you assess the impact of change on our IT system. So I could show you hundreds of these, but here's a classic one. We have a source system, order entry, and it has the customer table. And we are going to change that table. We're going to change the customer name and the address somehow. And this impact analysis will show you which programs, which tables, or files, remember we still have files, and what feels will be impacted or could be impacted downstream by changes in this table. For you data warehousing managers out there, please raise your hand. Okay, I see you. How do you typically find out about changes in your source systems? I'll give you choices.  Or B, do your ETL processes blow up? Typically you find out about the change in B. And by the way, there's another way you find out about the change your business users call you. That's the worst way. Anyway, another form on this slide of an impact analysis. Let's suppose we needed to change customer name. Today it's an alphanumeric 20, and we need to expand it to 30. Wouldn't it be great if we could run a report from our managed metadata environment that would go through all the technical metadata and show us, oh, here are all the places where we use customer name throughout our organization. How do we get this information today? Smart people perform grub commands, and they pull copybooks out of pan valet, and they spend days, weeks, and really months trying to figure it out. So these are some examples of technical metadata. Oh gosh, I have to go through this one quickly. Metadata for systems consolidation. So the managed metadata environment for systems consolidation. If any of you out there work at a financial institution, I guarantee you that in the last 10 or 20 years, even if you stayed in the same office, your company has either bought someone or has been bought probably multiple times. I have a friend of mine in the world of accounting, and he has been at the same company for 15 years. He's been at the same, I should say, let me take that back, he's been in the same office for 15 years. He's had the same administrator for 15 years, but his company name has changed four or five times. That's how often it happens. Anyway, wouldn't it be great if we could run a technical impact analysis. Let's say we are Big City Bank and we just bought Small Town Bank. Wouldn't it be great if we could run an impact analysis that said, hey, our customer number in our system, which is the attribute of record for our bank customer numbers. By the way, that's not the best definition. Customer numbers should never be defined by the same words. Anyway, what are the attributes and systems from this company that we're acquiring that map to our customer number? We'd find out it's cuss num, purchase num, and borrower num from the loan sys, cuss sys, and cussed application. Some of you are saying, my goodness, David, do you know how long it would take to capture that information? I do, and it would take a lot of time. We don't have time for that. Okay. Well, you want to migrate the systems from Small Town Bank over to our bank. How are you going to do that without doing this analysis? Answer, you can't. The only question you're answering, whether or not you want to store it in an MME, is this. Do you want to keep this vital metadata on cocktail napkins, word docs, Excel spreadsheets, or put it in your managed metadata environment so that we use it not only for this project, but for the next 30 projects that will need all of the information that we see to the left, to your left, of the little clicks? I think you know the answer is pretty obvious. This next page just gives you a more detailed transformation role, but we must progress forward on our journey. I want to give, I mentioned I'm going to give some ROI examples and some little customer case studies. Let me give you one that happened for one of our massive clients on the East Coast, large healthcare insurance company, $1.6 billion IT budget. I mean, so this is one of the big boys. They estimate that it costs them $2 a month to store each gigabyte a day. That's just physical storage. When you add services and maintenance, that cost goes up to $8 a month. They estimate that they have 1.6 petabytes of redundant data. So what does this cost them annually? Well, I didn't do any of the above calculation, but I am an expert in simple math, and when you calculate it out, it comes to $153 million and a little $600,000 of odd change. This is a big number, and some of you are looking at it and saying, my goodness, that is a very large number. However, the actual cost of this redundancy, now this is a big number, don't get me wrong, but there's another number that's much harder to quantify, but in my professional experience of doing this over, now two decades is a much bigger number, and that's the cost that people are actually in this company using. The 1.6 petabytes of needlessly redundant data, and they're making real business decisions with it, and the ramifications of that can be severe.  They had to issue recalls to their cars. I'm sorry, not recalls, they had to issue recall checks. So if you bought one of their cars, you would get a check in the mail for about $500 or $600 if you had bought the car so you can get this part fixed. Well, so what they did was they sent these checks to thousands and thousands of people. The problem is the CFO, the chief financial officer, received one of these checks. Here's the problem with that. He didn't own the car. Well, guess what? Remember the fit hitting the sham store earlier? That's exactly what happened when he came back in. He said, we've spent hundreds of millions of dollars to be able to answer this simple kind of question. And you're sending me, and I've just been sent a check for $600, $500 for a car I don't own. And he obviously thought, how many other people did that happen to? What's interesting is he's the only one, nobody returned their checks. Kind of odd. Anyway, let's move forward. I think it's fascinating we build systems to manage every aspect of our business, except one to manage the business themselves. So we build systems that manage payroll, vacation days, even the football pool, or in Chicago's case the hockey pool. I have to mention the Chicago Blackhawks did win the Stanley Cup last night, pretty fun. It meant I'm on very low sleep because people were screaming and yelling in my neighborhood last night. Anyway, but a managed metadata environment is a system that helps us manage our system. Let's move forward. So, oh gosh, ROI, I'm going to have to fly through this. So Intel, there was a study by Intel in Computer World Magazine. They estimate $6 of savings for every dollar they spent on their NME. That's a very good number. That's what I typically see. There was a Canadian government agency. They found that when they would build new systems, they were reusing more than 90% of their existing data definition. And they had an 85% improvement in their application integration and their percentage reduction in analysis and design went way down. They could do those impact analyses. They were doing them in two hours when it was taking them 36-person days of consulting. So, and in my mind, these are very typical statistics you see in our client base who installs the NME successfully. And it's fascinating. Gartner Group had this study where they estimate 50% of developer time is spent searching for data as opposed to actually utilizing. And they say here that 20% of this 50% can easily be reduced by implementing a metadata management solution. Well, I would say if you only reduce it 20%, you've done a very poor job. That number should be, you should be able to reduce it by three times that amount to four times very easily when you do this correctly. So let's look at the managed metadata environment. I'm going to have to go through this somewhat quickly. But again, feel free to go to the website. You can download some articles for free on it. The managed metadata environment, it represents the architectural components, people and processes that are required to properly and systematically gather, retain and disseminate metadata throughout our company. So when you look at the managed metadata environment, it has six basic sections to it or six basic areas that I want to talk about. So the first is the metadata sourcing layer, the metadata integration layer, the metadata repository, the metadata management layer, the delivery layer and the metadata mark, six of them. So I'm going to go through these very quickly. The metadata sourcing layer, its purpose is to extract metadata from all our different sources and bring it into our integration layer. That integration layer then loads this metadata into the tables of our metadata repository, which is important. Good metadata repository is subject oriented. It's integrated. It will be time variant and it will be sensitive because it will be changing. And then the metadata management layer, think of that as the brains of your MME. It controls sequencing and purge statistics and performance statistics. And the delivery layer is, and this is something you see in an MME, we could be delivering metadata to a website. It could go to a third party. It could go to a messaging system. It could go to business users. Maybe we're loading it directly onto an MME data warehouse. Maybe directly to the users. Maybe we're loading a metadata mart. I'll talk about that in a second. Maybe we're doing closed loop metadata architecture and putting it in an application. By the way, when you see these end users here loading metadata, think of those as our data stewards. And we don't have a lot of time, but I want to at least give this concept to everybody. Data governance are the people processes around our data. Metadata management is the technical enabler of our data governance processes. Because guess what? Data stewards spend 80% of their time working with metadata and 20% on data. And again, having built over a dozen data governance programs, I can tell you that is about the ratio we see. Oh, if I move on, metadata mart. What are those? Just like a data mart. It's a group of metadata for a homogeneous user group. What does homogeneous mean? I mean, that's a good $50 word. It's a group of users interested in the same stuff. That's all it means. Let's move forward. 36. So, okay. This is going to be just a quick case study. I mentioned I'm going to share with you guys a couple case studies. This is from my second book on metadata that Shannon was nice enough to mention called Universal Metadata Model. And in this, I feature RBC Financial. RBC Financial, at the time of this writing, they were the largest financial institution in Canada, along with one of the largest in North America. They have been very successful. So I'm sure all these statistics have gone up. They provide personal and commercial banking, wealth management, insurance, investment banking, all this other stuff, and they do it on a global basis. They have over 60,000 people, more than 12 million public sector clients in over 30 countries around the world with millions and millions of customers online. So, wow, sounds great. What's the problem? Well, way back, and this is back in the 90s, they built the data warehouse that had more than five terabytes of data. For those of us who used to build data warehouses back then, that was basically the equivalent of petabyte size data warehouses today.  It's not like today where any of us can walk to Best Buy or any kind of computer store, and for $80 by a terabyte external hard drive, that's about the size of a pizza toast. So it was much different back in the early, early 90s when we used to do this. Their end users needed to gain knowledge on the data, and they had hundreds of applications that were all interfacing and sharing data, just like our companies today. They really needed to improve their time to market when they were modifying their system, but I can tell you, the real driver behind their MME was this last bullet. Their core systems, the vital ones, were only known by a handful of people, and they were afraid that this knowledge was going to be lost when they moved forward. They built an enterprise-level MME that provides an inventory for all of their information, all of their metadata across these hundreds of applications. Here's just a quick overview of their environment. They've since re-architected it using a different tool, and I'm working on getting that updated. I can share with you all kinds of great statistics. I highly encourage you to read this slide in detail when you download it, but I will stick on this third bullet here. In the late 1990s, they were working with a major credit card company, and they asked RBC to change their credit card to expand it from 13 bytes to 16. That credit card company assigned three people for four to six months, and they identified 122 changes. RBC used their MME, and they identified 144 changes, and they completed the analysis from start to finish in 15 minutes, because they had those enterprise-wide impact analyses. That's what they had. That was their capability, and the results are astounding. I could spend a lot of time on this, but let me share with you just one last statistic, and I love showing this to executives. When you look at large banks like RBC, they spend very little of their revenues on their IT systems, very, very little. However, and some people may say, well, you know, they're not doing anything hard, they're just doing easy stuff. Well, no. They have a world-class award-winning data warehousing environment. They were one of the very rare companies to implement Siebel successfully. Siebel is failing in the 90% houses, the highest I've ever seen in our industry. Yet they were successful, and when you talk to it, so they go after big, difficult enterprise challenges, but what they will tell you is, their metadata management solution, that's the secret sauce to making them successful and able to manage it across their environments. Let me keep going. We're on our last two topics, and 10 minutes left, no problem. We can get it done. This is my top 10 list. What to avoid when you're building a managed metadata environment, and I always like to tell people when I give them a top 10 list, feel free to ignore these. We learn in one of two ways.  The way you want to learn is up to you. Let's move forward. I wish we had, maybe, I can get Shannon on the next webinar to shed such fun music playing before we began. Maybe she can have some David Letterman on top 10 music when we do these next time. But number 10, the MME team creates standards none of the supporting teams can follow. This is a massive problem. The standards we set need to be simple and understandable. Number nine, not creating an MME team or trivializing the effort. You cannot have one person part-time doing this like any other enterprise effort. You need to have a dedicated team of highly skilled professionals just like we do in data warehousing, just like we do in master data management, so on and so forth. Number eight, sailing to have an experienced project manager architect leading this effort. You know, I'm at a client today where I'm going to do, once I'm done with some data warehousing things I'm doing for them. You know, we have a team there. I'm going to actually be working on their metadata strategy. And one of the key things we know is that when it comes time to implement it we need to have somebody experienced who's been there. And then number seven, and I know we have a lot of DAMA people and data management professionals, you know, on this call. I recognize some of the names on our list we've called in. And a lot of the people, you guys are high-end professionals. And one of the things that I believe in is our job as data management professionals is to change the status quo. If at the end of the day we've built a managed metadata environment, we've done enterprise modeling, we've done data governance, and our company runs exactly as it did before, then we've failed. We are here to be a massive strategic advantage. That's what we're going to be. Number six, creating metadata silos or islands of metadata, an absolutely disastrous problem. Managed metadata environments are integrated. You heard me say that when I talked about the metadata repository component of the MME. Make sure that you are not just building a bunch of silos. It needs to be integrated. If you don't know how to do that, you can look. I think I have some abstractions for my book, Universal Meta Models. If not, I have a whole model in there. You can look at it. Number five, too many manual metadata integration processes. For business metadata that stewards use, you may need to have some manual processes because that business metadata doesn't exist today. But for technical metadata, you should be able to automate it. Number four, not providing easy access to the metadata. Do not be a metadata czar. When you build your MME, provide access to it.  That is the wrong way to do it. Number three, selecting a metadata tool without conducting an evaluation or defining requirement. One of my pet peeves, people do it all the time. To me, the selection of a tool or not selecting a tool is just a line item on a project plan. We still do our orientation. We still do our strategy. And at the end of strategy, we'll know, we've done a roadmap. We're trying to build. Then we know if a tool can help us and which tool is the best. Number two, trying to do a big bang or waterfall implementation, boiling the ocean. Iterative is the best approach. I've used Iterative now. I'm entering my 29th year of consulting. And Iterative is by far and wide the best approach. All right, what's the number one thing you want to avoid? Drumroll? Not defining tangible business and technical objectives of our MME. We've built it, we've rolled it out, and it doesn't solve a single problem in our company. So good business drivers are increased revenue, ensure public safety, decrease costs, saving lives, education. If you're a Department of Defense or government agency, assist the warfighter. And I'll tell you one here, regulatory adherence is huge. That is an area that at one time maybe 40% of our clients were interested in. In the last seven or eight years, I think probably 100%. Every client I've worked with has had an interest in adhering to various federal regulations. So that's the top 10 list. All right, last section, and then we're going to get to our Q&A. The Department of Defense, this is one of our award-winning projects, and we were blessed enough to win a DM review award and an intelligence solutions award. Who is the Department of Defense? Well, this is specifically Department of Defense logistics. So what are they? They are a $480 billion supply chain. So you're talking about half a trillion dollars of supplies or a half a trillion dollar budget. An $80 billion supply chain. I mean, the numbers just stagger the mind. Three million people, 80 million parts, I mean, eight million parts, sorry, global, 150 countries, and a dynamic supply chain. I get a kick out of the term dynamic supply chain because in this supply chain, people may shoot at you. So that's about as dynamic as it gets. Federal Express and UPS people don't shoot at them. Wait a minute, I live in Chicago, so I can't say that where I live, but in most of the places where you guys live, that would be the case. Anyway, a little bit of local Chicago humor. We are the, I think, homicide capital of the United States. So anyway, what's the challenge? So why am I talking about the Department of Defense Logistics? Every year, they cannot account for several billion dollars of inventory. They have massive just staggering data quality issues. And then look at these last couple issues. They fix or refine a process that causes them to break several others. Hmm, does that sound like your company? And this happened because they never planned the enterprise. They just grew over time. When you look at what the Department of Defense does, their scope has grown radically since the days when George Washington brought the militia together and formed really our first army. It's now just radically different.  They build cities. They do humanitarian rations. They do search and rescue.  And that's the same as our companies. Most of our companies, we never thought we'd be as big as we are. So, all right, what's their architecture? The Department of Defense architecture is based on deploying their troops rapidly and reconstituting. Any of you who study military history know your military literally lives and dies based on supply. And if you can't supply them, you're going to have problems. The great example, the classic one, is Germany and World War II when they progressed so far into Russia. They got nailed by the winter. The supply line froze up. They couldn't reconstitute their force. They couldn't feed their troops. They couldn't get gasoline to the panzers, and big problems happened. Kind of interesting. I have this picture of the, of this aircraft carrier. When we were doing this project, there was a business user who, it was thought we might have to interview, who was on an aircraft carrier. And I said, I personally want to interview that person. Unfortunately, we ended up not interviewing them, but I wanted to. Anyway, enough of my stories of opportunities lost. They had their own enterprise integrated data environment, and I would love to take credit for drawing this, but I didn't. You can see when you look here, they have various e-business solutions, enterprise applications, all these processes. They have data warehousing. But if you notice, everything is flowing into this disk, and that's their metadata management. They realized metadata management was the key to data architecture. Let me just kind of wrap this up and open it up for Q&A, because I know we have some questions out there. When you look at the Department of Defense, this just shows you, based on supply, the basic concepts of logistics, which are plan, source, make, deliver, return, and enable. And this shows you, for the Army, Navy, Air Force, these little lines of business, Marine Corps, how many systems they have that do these concepts. So when you look at plan, we see the Army has nine systems. We see the Navy have two, and so on and so forth, just all doing this portion of plan. So it shows you the redundancies dramatic. So what we did was we, our client partner and us, we put together, we built them a managed metadata environment. They had a global one that was for the logistics domain. They had one for their little lines of business, Air Force, Navy, DLA's Department, which is Defense Logistics Agency. They brought in metadata from all these key sources, and it was all a seamless, beautiful environment that actually gave notices to people when changes would happen. So it was really, you could see why it was an award-winning project. Let me kind of summarize this, and we'll go to our Q&A. Number one, when you are looking to build your MME, plan your enterprise around the 2B processes, not your as-is. We have a lot of stuff that really doesn't work the way it should be, and we should be moving the processes that are superior and more standardized. If you're a federal agency, and I left this in for you federal guys, they always require to use COTS products. COTS is commercial off the shelf. They're very software-driven. Data strategy is the key to data interoperability, and what you need to know, no metadata management means no data strategy. You have to get this right. When I go into a company to do a data management assessment, I consider metadata management and data governance as foundational pieces along with enterprise modeling, foundational pieces, and if you don't get those right, you're not going to do well at master data management, at big data quality or whatever else is your liking. Compliance is an ongoing process, and guess what? Your business processes are really not that unique. You would think the Department of Defense Logistics would be unique, but they're not. With that, I'm going to pass the baton back to Shannon and opening up for questions. Thank you, David. Of course, one of the most popular questions that we get during most of our webinars is regarding when people will get a copy of the files in the recording. I will be sending out a follow-up email within Two Business Days to let everybody know with those links and anything else requested through the webinar. David, a question from Steven. We are facing a build or buy situation for our metadata management platform solution. We have limited experience in creating a scalable data model specifically for handling metadata. Is this something we need someone with a specialized metadata skill set for? What a great question, Steven. So let me give you a little bit of insight on that. I have had fantastic success taking really awesome data modelers, teaching them metadata management, and then having them met a model for us. So when you're by your build situation, I'd recommend a couple things. We do sell an industry-standard metamodel for our clients, but you could also just buy my universal metamodels book. And I mean, that model is not near the capacity of our other one, but it's still very comprehensive. I think if you took a really awesome modeler and taught them the concepts of metadata management, they learned and read about it, you can get them up to speed. Obviously, if you could find someone who has this experience, that is the preferred route, but that is not that easy to do. It's very difficult. Great question, Steven. And actually, Amos, the follow-up to that, he says, or is it better to procure a vendor product? But I think you are a vendor product and do the heavy customization. So there's a little bit of expansion on that. Absolutely. And I see his follow-up now. Shannon, thank you for pointing it out. Well, here's the deal. Just because you go with a vendor product, I cannot think that, oh, it's just done for you. The analogy I use, it's like you're building a fence. If I needed to build a fence, what products do I need? Well, I need a hammer. I need a saw. I need duct tape. You know, the tools I need. And when you buy a vendor product, they're the equivalent of the hammer, the saw, the duct tape, the shovel. If you have all the hammer, the saw, the duct tape and the shovel, do you get a fence? Well, no. You need somebody smart to architect the fence. Like, is it three feet, six feet, 10 feet? Is it metal? Is it wood? And then you need people to do the work, to dig the holes, to hammer in the nails, to duct tape the saw. I've never built a fence. Sorry, I actually don't know all the steps. And tools are the same way. So whatever tools you buy, Stephen, you are going to have to get trained up on them. You need to bring somebody in who has heavy-duty experience with them. A world-class kind of architect, I would recommend. Because you're going to need to know those tools, what they do and what they don't do, because that is much trickier. But, and I don't want to sound anti-tool, there's some fantastic tools in the market that can really help your program. Excellent question. Thank you, David. The next question is, what processes happen within the integration layer? For instance, how does the integration layer facilitate which final metadata must prevail over others for the same elements? You know, what a great, so very good question. Now that's a very technical question. So I would say it's just like your data warehouse in one, in the sense that you're going to look and say, what is my most trusted source for this data? For example, I had a client once where we were extracting physical table names and attributes from a data modeling tool. It was Irwin. And when they wanted us to do that, my first question to that client was, do you guys keep Irwin up to date? Or are you guys making changes in production? And they assured me Irwin was kept up to date. Guess what? When we did our own little analysis, because I never believed those things were being kept up to date, what did we find? That production differed from Irwin. So when we built our MME, we read the relational database catalog, pulled out the entity tables and attributes, and did a comparison to Irwin when there was a difference between the two. Obviously the RDVMS catalog ruled the day. Great question. Very technical question. I hope everybody followed that one. Yeah, we've got a pretty technical crag going on here. In fact, the next question is a two-part question going on here. Sure. What difference do you make between master data management and metadata management? And the second part of that question is, could a nontology play a role in metadata management? Absolutely. Oh my gosh. So the second part of the question, let me go after first, in the Department of Defense case study I walked through, we used a nontology. Well, we actually used a conical model. And all, when you look at an ontology, that is a really fancy word. And actually, as a consultant, I can build double if I use the word ontology. All it is is a hierarchy with a fasori. That's all it is. And certainly those are incredibly valuable too. As far as differentiating metadata management with master data management, I'm just debating if I want to use up the rest of our time on answering this, but metadata management is foundational for master data management. If you are trying to do master data management and you don't have a world-class metadata management function, good luck. You're going to have big problems because you do not know where your data is at. You don't know what it means and you have no organized way of managing it. So metadata is just a vital foundational component of master data management because it gives you all this technical stuff, your common, like, how are you going to define common processes? Well, you better have a great data governance program. I teach all over the country our data governance framework. And in it, you need to have a world-class framework where your business users can make decisions on what are our common products, what are our common customer types, what are these things. And then you take the results of your governance and your metadata and that's what drives your master data management. If not, many MDM efforts, all they do is mimic the existing point-to-point interfaces with the messaging bus. And that is literally the definition of insanity. You do not want to do that. Anyway, I hope I didn't go on too long on that one, Shannon. No. Time for one more question here. There's a lot of great questions coming in. And I will send out David's contact information along with the follow-up email with the links to the slides and the recording. So last question coming in here, can you speak to your experience in managing metadata in an enterprise data lake environment? Oh, my gosh, I wish you were at my talk at Dana Phoenix two weeks ago. I talked all about the data lake. All a data lake is. So we've not done it in a data lake, but you did one because you're most likely about to drown in your data lake. Data lake, I want to define it so everybody understands that all a data lake is is taking the tables that we have today in our operational systems, porting them over natively, meaning as is, and putting them into this new environment, probably with a dupe over it. We have a term, data warehousing people call that data staging for years, decades. So when you have a data lake like that, the way you organize it, understanding it, it's vital because it's going to look more like data soup than data lake. Because where is our definition of customer? Where are the customer tables? Oh, I found two of them here. A little do you know in another part of the lake, right by the bastard, there's 20 more of them. So an outstanding question. And the whole concept of big data and data lakes, guess what? For all the data management people, I know this is a Dana talk. We are more needed than ever in the big data world because they are failing at an astronomical rate and they need great data management to help them. Outstanding question whoever asked it. David, thank you so much for this presentation. It was fantastic. And thanks to our attendees for being so engaged in everything that we do. I love the questions coming in and continuing to come in. Like I mentioned, I will get a follow-up email within two business days. So for this webinar by end of day Thursday with links to the slides, the recording, David's contact information, and additional information requested. Again, David, thank you so much. This is just really fantastic. Thank you. You're so kind. Thank you, Shannon. I hope everyone has a great day. Enjoy.


In this video, we're going to provide the solution for question number eight on the practice exam number one from math 2270. You are asked to express the following linear system given right here as a vector equation and as a matrix equation. So we want to identify the column vectors in this thing. Make sure they're all lined up and they already are x1, x2, x3. Any constants are on the right-hand side. So we're good to go. So in terms of the vector equation, we're going to have an x1 times the first column of coefficients, which is three, zero, one and four. Just recording these numbers right here, the coefficients. Then we're going to add to that x2 times the next column of coefficients, which is zero, two, negative two and negative five. So we're recording these coefficients right here. Make sure you grab the negatives when you have them. And if you ever see a blank, that's because it's a zero. Then next, we're going to get x3. We get a vector for each of the variables. We're going to get negative three, negative one, two and zero for the third column. And then the last, the column on the vector on the right-hand side of this equation will just be the constants you see right here. So this would be four, five, seven and one. This then gives us the vector equation. The corresponding matrix equation, it should have the form ax equals b, where the matrix a is going to be the coefficient matrix whose columns are actually these columns right here. We can also record them directly from this. We're going to get three, zero, one, four first column, zero, two, negative two, negative five second column, negative three, negative one, two and zero. This gives us the matrix a, the coefficient matrix. Then we times this by the vector x, which is a variable vector. It'll be x1, x2, x3. This will just be the variables in play. And then this is equal to the right-hand side of those equations, the vector b, which is four, five, seven and one. So you can see that the right-hand sides of the matrix equation and the vector equations will be identical. And they correspond to the right-hand sides of these things right here. Now be aware that the matrix equation is not the same thing as the augmented matrix. I'm not asking for that. The matrix equation means this thing right here. You have this four by three matrix times by this vector from R3, and it's equal to a vector from R4. That's what the matrix equation is going to look like. And this one, there's really not a lot of work to show. It's just we want to write the vector equation and the matrix equation. But be aware, this could ask for the matrix equation and the augmented matrix, the vector equation, the augmented matrix. Or you might actually be given the matrix equation. You're asked for the linear system of the matrix equation or something like that. Be prepared for those variants on this question.


Everybody forced here rip in 2022 obsidian football hobby six box half case number 23 random team style There are your results find those anytime a late sports cards.com. We're gonna go ahead and get started now. What's up Logan? You got moved up Vaughn. What do you mean? I got the release date got moved forward At this point though, I'm not surprised because if flawless keeps getting pushed back like they got to come out with some sort of high-end basketball like You know what I mean? It's it's taken it's taken too long to get flawless out So it's a weird it's a weird order, but we got we got to get stuff You know, I mean we got we got to get some of that high-end basketball. We will wait now to wait too long Six boxes of city and good luck everybody Now walk off is pretty sweet very unexpected Scott McKenna helped us out big time Jalen Petrie Texans rookie number to 75 Purple to 100 Terry Davis price Niners rookie Friday. Oh my god Aaron Jones Packers. I'm not ready dude. We just had transcendent. I gotta do evidence basketball. I'm not like Basically prepared enough Eli Mitchell the 75 Jersey card atomic material Niners Next up Colts unbreakable Jersey to 125 is Alec Pierce Another Danny Gray this time is rookie Otto to 199 Same Francisco to Danny Gray kind of night Personals are almost full again guys if you want a personal I would order basically like now Jameson Williams to 175 rookie dual Jersey Otto Lyons Gonna go to about one Eastern tonight nice JMO good stuff Yeah, the atomic cereal. Yeah, some of the designs are always awesome in this There's a yellow Cam Jergens to 25 for key for the Eagles very nice in orbital Red Jalen Hertz Eagles that one's numbered seven out of ten Your birds very nice Jalen Hertz insert. Let's go ahead and get this one in the mag Red to ten and a Jermaine Johnson the second rookie for the Jets there Jalen Tolbert triple patch. Whoa cool. Those are like the veterans day the The memorial they patches right 75 or no memorial is a man So I guess it would be like veterans day or slew to service or whatever whatever it is I forget which one specifically there you go to 75 Jalen Tolbert Cowboys That's true Finch. He will unbreakable Matt Corral rookie Jersey to 75 He's even smiling at the Matt Corral Jersey card pool 400 points everybody at the ends and Another Matt Corral this time is 15 of 25 yellow edge rookie Jersey Auto go Carolina. Oh boy. Look at this Orange Tana Hill number to 75 for Tennessee Cooper Cup Rams to 100 Max Crosby Raiders Eric Izucan must 72 100 rookie eruption Jersey card Unbreakable to 75 rookie patch George Pickens Steelers to color number patch there far from the 88 on the rookie Rookie Premier Jersey Elijah more 64 of 100 lightning strike auto for the Jets a nice one your commander Sam Howell rookie Jersey Auto This one's to 175 90 of 175 on the Howell once that goes Sorry guys That's a purple to 100 Jared Goff Lyons Jalen Hertz Volcanics to 25 one of 25 Jersey number Eagles nice green color match on it as well Dude what the heck did you more? Danny great a 125 triple jersey for the Niners Unbreakable rookie Jersey commanders Johan Totzen 18 of 125 2199 Danny Gray again, dude. It's a Danny Gray kind of that I'm telling y'all 2199 rookie Auto Niners and an Alec Pierce to 99 rookie dual patch auto for the Colts Check out the check out Gilded single sales We'll get an idea Payoff is pretty big man. Some of those the bigger rookie autos at a gilded. Holy cow. It's kind of ridiculous Purple Michael Carter to 100 for the Jets Yeah, they're beautiful car. They're gorgeous cards to 25 Volcanics Kyler Murray Cardinals Nick Chubb Malik Willis rookie eruption patch card. That's to 50 for the Titans It's 199 rookie auto Vikings Jalen Naylor. We had him super low for the longest time to Rory I think we ended up getting more So like that's just what we have to have him at I think for now But we were super low for like an entire week Like our release day was like 350 everyone else was at like 500 or something. It was it was pretty insane Whoever got an early on that stuff did super well Aurora auto Zach Wilson seven to ten Jets it was like You guys remember gilded dude the first like 24 hours of gilded release it went up like Like maybe a hundred hundred fifty percent on the price isn't saying it's a fifty George pickings Rocky patch auto nice one Steelers alive pickings It's it was so crazy.  I'd say it's just like that It's like the same thing like tops didn't know I mean, I mean, yeah, how can you I think gilded might have been ever McCosmick, how can you?  What's up Ryan? Olav a-75 one of 75 Saints Good to get it sleep here. That's nice a lot of it. That's sleep. It's a sleep. It's a sleep fault not the not the sleepers fault See told you that might be called a slightly wide, but Rookie Jalen Tolbert Cowboys Justin Herbert a 75 equinox gear chargers You're Ryan's coming to shop next weekend Nice Sam Hubbard bangles the 100 on the lightning strike auto. It's pretty sick. Yeah, man We're gonna do eminence box wars Just let me borrow some money real quick. I like Pierce for key auto eight of ten red etch Midweek to dude Missle clock in when you come here There you go Colts and a 99 rookie Jersey auto Isaiah spiller for the chargers All right, we got points card to random off here. Good break for the Colts. Oh were nice Transcending case war. Oh Jesus, dude Although to be fair evidence might be more extensive than transcendent Especially the first off the line. All right 400 points random to everybody after seven times there I Was up top get some one two three four five six and seven chiefs up top chiefs relics of Danny Gray Johan Tawson Alec Pierce Eric is a conma Eli Mitchell got a Jalen Tolbert Matt Corral George Pickens Herbie Amelie Gwillis Perfect, it's better cuckoos both cases. Oh boy 2003 top scrum basketball case break war. Oh My god Dude, I'm getting sick thinking about how much that would that way what I would have to get one of those Jalen nailer Danny Gray Danny Gray Jamo Howell Elijah Moore Sam Hubbard Alec Pierce Isaiah Spiller George Pickens alive Pickens Corral the 25 is pretty nice wheels into 10 and appears to 10 Alec Pierce and Orbital red that's a pretty cool insert there seven to 10 Jalen Hertz for the birds. Thanks again, everybody onto the next half of that case


Hello everyone, this is Dr. Ahmed Ergin. I'm an endocrinologist and Adobe's education specialist. Today I am going to talk to you about the best weight loss medications. Now a lot of you have struggled going through diets, this diet, that diet, keto diet, Mediterranean diet, but then eventually most diets fail. Why? Because you know we are not created to follow a diet, we are created to follow a normal natural eating pattern. Unfortunately we do not eat natural anymore and then we kind of you know in a western society we just eat for social in social gatherings, we just eat out of boredom, food is available everywhere, it just is hard to lose weight and some of you will like amen to that, some of you will be like oh no yeah I have a great willpower, I can't lose weight anytime. Well then that video is not for you so you can close and move into my other videos that talks about the diet, but if you are the one who are looking for a weight loss medication I will tell my honest opinion right now. Coming up. All right guys so basically I'm going to tell you about what I would love for myself for weight loss. If I want to lose weight what would I use? What would Dr. Ergen use for himself or for his family for weight loss? And I have and I have used for myself and for my family as well and this is totally off-label although there is an on-label, there's a label drug for that as well, but you some of you will know this. Victosa for example, Osempic, Trilocidine, Biorhein, Bayetta, a lot of patients who use these diabetic drugs, these diabetic medications have lost weight. Some of them lost so much weight in my clinic they'll come and say that can we stop this medication because I don't want to lose weight anymore and you don't really hear that statement from a lot of other weight loss drugs to be honest with you and I get these inquiries they're like oh well my diabetes is totally in remission, my A1c is 5.3, I have lost 60 pounds and I look too skinny can I change this medication? And I'm like that's a weird question because normally people always ask for more weight loss medications but to be honest with you these medications are great so my favorite and actually the best result that I get with the weight loss drugs in that class we call them GLP1 class for diabetics and also for non-diabetics by the way you know it works the weight loss feature works for diabetics and non-diabetics the problem with the non-diabetics is that the insurances typically do not cover the drugs as easy for weight loss than for diabetes if they have diabetes coverage is a lot easier if you don't have diabetes then it's a little bit harder but there are ways around it and I'll tell you in a minute so I didn't say about the rebalsis right so rebalsis is also another one that just came as a pill so most of these agents were like injections and the newest addition to the class is rebalsis which is same thing as ozempic in the injection form but it's in the pill form which makes it a little bit easier to deal with for some people but the bottom line is ozempic for example is once a week injection to lose it the same way victoza is a once a day injection and these are basically gastrointestinal hormones that slows down your stomach so your stomach slows down your appetite in your brain directly goes down and suddenly you feel full way faster than you would otherwise be feel you know feel full so that's one of the main future but also you don't really crave for foods anymore you don't really crave for all the things that you have been craving all day long and fasting is not a huge problem anymore on these drugs now you're gonna be like oh well these are diabetic drugs diabetics has to eat otherwise your blood sugar goes down but that's not true for this class of drugs basically when you're in a glp1 unless you're on a sulfonyluria or insulin glp1 by itself does not really drop your blood sugars it can normalize your blood sugar it can bring your blood sugar down to 80 and between 80 and 120 all the time and the good thing is you can still eat the things that you like to eat but you're not going to crave too much for them let's say you know instead of just quitting on the bread and rice and pasta totally now you're going to be able to be satisfied with a very little rice or very little pasta you know a very little bread will still satisfy you and you're not going to feel like you're totally deprived of all the goodness in your life so that's why i use these medications very heavily and believe or not you know there's a lot of this negative you know things in the in the media sometimes or actually in the commercials people see but these are legalities like they talk about like this pancreatic cancer medullary thyroid cancer i have been doing this for 10 years i've not seen a single patient who had pancreatic cancer from these drugs and i don't know i probably prescribed tens of thousands of it so it has been seen in rats not in human beings if you have a family history of pancreatic cancer or medullary thyroid cancer like they say on the commercials you know we take this extra precaution i'm like no some people beg for it they'll come and say hey you know i have this cancer pancreatic cancer in my family but i i like i read about this drug and i want to be on it i want to always wait i'm like you know what i'm sorry i'm sorry because it's a legality issue i don't think it's gonna cause pancreatic cancer on you but isn't the label the other family history i'm not gonna give it to you you know i have a license to protect you know so but other than that in my opinion i give it to my family and my friends comfortably of course my patients and i think they are the most evolutionary class because it avoids you going to insulin if you're on insulin it helps you to come off the insulin if you're not on insulin or any other agent it helps you to lose weight and still be able to be on a reasonable diet that is low carb but not necessarily no carb and still have a peaceful you know normal life now if you look at these youtube videos you will see these youtube doctors or chiropractors or some other people who have no medical background they'll just tell you just eat no carbs and they have hundreds of videos saying the same thing eat no carbs so i'm like why would people watch them to just listen to them saying eat no carbs because it doesn't make any sense people eat carbs okay you know there are different ways of doing things so i think these drugs help diabetic patients drastically now if you don't have diabetes it will still help you lose weight now how do you get your hands on on these drugs now if you have a wonderful insurance that doesn't question if you're diabetic or non diabetic your doctor prescribes it you get it there are a lot of insurance like that so if you're if you have one of those great because doctors can prescribe off label medication so when i say off label let's say you know we have a lot of things we use like for example i'm going to use you know a medication that is used for blood pressure but i may use it for something else for kidney protection you know i may use a medication that is used for prostate i may use it for hair loss so stuff like that that we do because we know it works or we know it will work as a doctor but it's not been studied it's not been sent to fda for approval so when fda did not approve it yet or when there are not enough studies to make it fda eligible then we call this off label it off label does not mean that it's harmful for you that's all so as long as your physician is looking for your best interest and thinks that that medication may be helpful for you and your insurance is reasonable to get that medication to you they can get it now sometimes you know if your insurance is asking prior authorization and if you have done don't have diabetes don't even don't even try that they're gonna outright reject it now when it comes to how other ways you can get your hands on there is a medication called rubelsus it came from the market recently similar to ozampic it's a pill and it works as like a voucher so so far i have prescribed rubelsus to so many people and if they have a commercial plan not the Medicare or Medicaid if they have a commercial plan it goes through all the time as long as they use the voucher they have to go to website they have to text a number you just go to their website rubelsus.com and you know in there you can it says you know how to get help or whatever so text that number you text help and they text you some things and and they finally send you a voucher and then boom and you take it to the pharmacist the pharmacist runs it as a secondary insurance or as a voucher um and then suddenly you get your medication for ten dollars a month and it helps with the weight loss now of course you your physician has to be familiar with the medication you have to make sure that you are adjusting your dose slowly and according to your response the the adjustment is typically once a month but in my opinion as i said the ozempic, trilocity, rubelsus, victosa are best medications for weight loss now succenda is another medication so succenda is a drug that is primarily approved by the FDA for weight loss now what is succenda it is a drug that is same thing as victosa it's just a higher dose and i believe trilocity is doing studies right now to try to have trilocity become a weight loss drug you know FDA approved or on label instead of off label but these are the things that that that will help you the succenda succenda definitely uh can be approved if you have an employer coverage for for example some employers will say you know what i care about my employees health and wellness and i'm gonna you know cover this drug even if your insurance doesn't cover it or your employer insurance may have that specific benefit because like you may have a united health care or blue cross but but your employer plan may have a different benefit than a regular blue cross or regular united health care so you can run it by your employer if it is an employer benefit then definitely you can get your hands on succenda and that is another name for victosa that is used for basically for weight loss again sb under physician supervision physician prescription is required now what else out there so we also have this phentermine right so it's a generic it's it's adipax you know there are a lot of doctors will just run a weight loss clinic and all day long they're going to prescribe phentermine now phentermine or adipax now what's the problem with the phentermine or adipax they're controlled substances you know you have to be monitored it can affect your heart rate it can give you a lot of side effects but also it has to be stopped after you know after three months or so because it is what the law says in most states you cannot just keep writing a prescription for life you know that is controlled because it is not necessarily tried in studies to prove that it's safe still to continue with that medication on the other hand there's a medication called kusemia and that medication basically has been studied and has phentermine in it as well as topomox now they have this phentermine and topomox in a long acting form and it is a little bit more effective than phentermine alone and it can be used in the long term yes it is still controlled but it can definitely be used in the long term and yet it's definitely more expensive very limited the insurance was covered typically the price range is around $100 to $130 you can shop around but you will need a prescription and more than likely you will need to report to doctor's office because it's a controlled substances in most places you will need to be monitored for your heart rate and so forth so other than that there are some other drugs out there but really you know your kusemia your phentermine your other oral appeal options the other medications are not that effective recently there was something called belvic which was recalled from the market so that's out you don't really have a lot of options at this moment other than the phentermine and kusemia. Velbutrin sometimes or bupropion also has been used for weight loss but the efficacy is not that great but you know it's an antidepressant drug you know a lot of antidepressant drugs will cause weight gain but velbutrin or bupropion will cause a little bit of a weight loss so that is a plus but the bottom line again my favorite is the glp1 class yes they can give you a little nausea maybe a little gastrointestinal problems in the beginning but they fade away and in my opinion they will change your cholesterol they will improve your insulin resistance they will give you a bunch of weight loss and that is the best weight loss strategy with the minimal side effects in my opinion again this is a totally non-sponsored video it's my honest opinion what i think what i do in my practice and i hope that video was useful to you guys please give a thumbs up and we'll see you in the next video


Hello and welcome to my kitchen. In today's recipe I'll be showing you how to make a steak milanesa and yes we will be having some french fries. You'll need some thinly sliced steak. Sometimes you can find it as a breakfast steak and they're super thin and other times you can find it as one. You can ask for thinly sliced chuck. You can use a steak or pick the thinnest slice of that roll that you find at your butchers. Okay but if you have it in a pack they usually have it under a chuck. A breakfast steak and that'll work. Some flour and you're gonna need some flour. Let me tell you what we're gonna do to this flour. To your all-purpose flour you're gonna add some salt and pepper. Adjust salt and pepper to taste. How do you feel about me throwing some garlic powder in here? I think that that's a great idea. If you like certain seasonings like for example I like Mexican oregano but a lot of you can't handle it then that's why I kind of just keep it basic but remember to always make it comfortable for your home even if you add a little bit of cumin, garlic, onion powder in here it's just gonna enhance the flavor of that crispiness. Yeah thank you. Eggs. To your eggs you want to add some mustard and mix them and mix them good. This is beady night girl but you don't say beat because you don't like the word. I didn't put a trigger warning so if you don't like mustard you can use a little bit of ketchup in here. A little bit of hot sauce. Some thio. You can put some thio in here. Let us know what your favorite hot sauce is in the comments amigos. You'll need some breadcrumbs, panko crumbs. It's gonna be up to you friends. The reason I tend to use panko crumbs it's because when I use it for frying it doesn't burn my oil so quickly and I get to recycle my oil and use it for another occasion. Okay so if you guys don't know where to purchase this I get a way better price when I go to an Asian market than when I buy it at a grocery store. Yeah you guys agree? Thanks for the tip.  You can season your panko or your breadcrumbs to taste and this is the part where you can also add a little bit of the garlic powder or your favorite seasonings. You just added Himalayan salt. That's it. Mix it up and we're not done yet.  You have so much overcast today don't we honey? I love it. Me too. Place your pan on a medium heat and add a good amount of oil. Now we're just going to give that a few minutes to heat up. Once your oil gets nice and hot you're going to place your milanesa in there. Please be careful with your manitas. I don't want you to burn yourself friends. Very very carefully. You're going to say step how long do I fry it? It's going to depend on how thick your steak is. That's pretty thin. That's really thin. I don't think I'll be here more than four minutes. Which is great when you're using panko crumbs because if you fry panko crumbs too long they just burn out and but they're really great they can they can really take the heat. That's right. And after about two minutes I'm going to flip. All right friends I think we're just about ready.  That looks so juicy and crispy. What's the reason for putting it on the rack like that? So that all the excess oil can drip and if you place this on a paper towel it's just going to make everything soggy and we want a nice delicious crisp to it and this allows the air to flow and you get to serve a delicious milanesa to your family. That was a test and you passed. I'm going to continue with the rest of our milanesas and I'm going to get started on frying our french fries and I will be doing a double fry for our french fries which means I'm going to fry them for about six minutes in some really hot oil then I'm going to take them out and let them rest for a good three to four minutes and then I'll fry them again until they're crisp. And just some regular homemade fries. Nothing special just a double fry. You guys have seen me do this many of times here on the channel.  I'm ready. And to the salad I'm going to add a little bit of the views jalapeño chili oil. We'll link the recipe in the description area. Mix that around and it serves that somewhat of a vinaigrette when you're adding your lime. As always views club and bell notification squad cloud and I are wishing me the best. We absolutely adore you and we want to give a special shout out to all of you that don't have a mother and appreciate cloud and I for what we do best being moms and Diaz and loving and mothering smothering love you like a mother we love you guys like a mother would and on that one we'll see you guys tomorrow. Say ah honey it's coming. Thank you. I love how moist the meat is and that little crunch stays throughout the the bite. You are going to get some carrots in here. I like the other vegetables but the carrots please. Open wide girl. I love feeding you. I like feeding people. This is the first time I have the jalapeño oil as um as a vinaigrette that's amazing. It's good for everything. It's me losos. Oh so good. Good turn. Growing up this wasn't always my favorite. This was something that the adult men would order for some reason. I don't know what it's like now so ladies if you guys like this let me know. I guess I was a grown man when I was eight. I used to love this. You know? I'll always be a baby but this is pretty good. Should we brew something and sit down and eat? Why? Because you want to talk to me about something? What? I want to tell your company. Baby's Club we love you.  Get me a burger cloud get me a burger.  I don't get me starting to have some grilled onions. I know some people would be super bothered by that smell but I was like I'm just going to start leaving a hamburger in here overnight.  That is a simple thing to do. You know I'm in that zone where um where I used to take punky to therapy. All I wanted to do was eat a burger but I have to be mindful about it. Okay I don't know. I doubt you guys just want burgers on the channel. You did a twerk and a moonwalk at the same time. You are so beautiful. That's a burger is good for me. Who am I to insult your taste? I was waiting for your phone call but you didn't return my call. It doesn't feel good to be dissed by a man like because I had important business. I would never ever do that to you and I never have and I never will but in the future it sounds like I might have to to teach you a lesson. Girl I am going to make you the best meal for dinner. Lesson learned. We do not need to teach anyone lessons. I accept your apology. I'm going to surprise you. You know what? I do have a recipe that you're going to love. It's my uh Indian uh fusion. One that I'm working. My rum my rum lila. And I have named it a rum lila girl for you. Oh I really do.  Which one do you want in here? No, you get a little that's why I'm over here. You're saying stuff. What does this remind you of? Oh yeah. What does it remind you of? Say it. Should I look? Yes. Okay, okay. See what your Japanese breadcrumb is all fancy. Okay. I have about two cups. I don't eat that much cereal. Only on the special occasion. Girl you know that I use my coupon already at the beginning of the year. That's what I have to say to you. I use my card. I only get two coupons a year and I used it up so I didn't want to call it back because I wasn't sure if you were meditating, reading really into it. So you know don't make excuses for yourself. We were in a conversation knee deep in the pool in the conversation and then Mikha, I haven't finished. I haven't finished business. I'm going to put a new clause in our contract. I have a new clause in the contract. Don't you dare. And it is not Santa Claus. I'm Mikha. It will never, ever, ever happen again. I deserve forgiveness. Forgiveness is the way. Forgiveness. The thing is that I forgive immediately. I know you do. You're sweet. Immediately but it doesn't mean that I don't like. This is going to cost me friends. It's going to cost me forever. I like the carrilla that comes with it. I like to receive it too. And I'm not good at giving up. No, you're not. You give up after two minutes. I'm like, no, I don't like that. No, I rather cuddle you and love you. Yeah, you do two minutes. I'm going to need some more panko. All right. So if you guys are using a bigger plate. No, no, no. Okay. So that's why I'm having a little bit of extra fun, if you guys can tell. Put your pantalones into the eggs. They look like long shots, girl. Nice one. Mr. Darcy is going to come find you from the woods. Oh, gosh. He's going to have a pleasant surprise when he doesn't make it past my fence. Because of booboo creeping up on me like that. Oh, no. I'm not into that. I need announcements. I like how you shade me for having a Mr. Darcy. I have zero prospects. I have a zero love interest. I have zero men knocking out my door. What? Zero men in my woods. The only male that I have in my life is Ari. That's the way that I give you career, Nace.  What money was it? You can.


Underrated, I have the hands down say T.Y.E. to I.H.A.R.I.E. Till they screamin' and cryin' at your volumin' leases and candles like That's O.K.L.F. nigga, that's my hood Put it in his face, get that sh** understood Yeah we on boss talk, one on one, one on one, one on one Who do you think is the most underrated in the city when it comes down to the music? Underrated, I have the hands down say T.Y.E. to I.H.A.R.I.E. Till they screamin' and cryin' at your volumin' leases and candles like That's O.K.L.F. nigga, that's my hood Put it in his face, get that sh** understood Man that boy, he was just on there a while back, I loved him He thought he used to talk about O.K.L.F. way long time ago Straight up Is he got cousins or something in O.K.L.F. Oh he got a lot of cousins I'm telling you I used to hear him say this way for you He got a lot of cousins You just mentioned one I probably just didn't say that, my bad I'm telling you Is it a camera? Yeah, all them cameras are on You gotta go a little flow So how did you and him end up linking up as far as E-40 And what is that about, can you talk about it? Man, just the piano stuff man Okay Piano stuff, my manager E-40 He posted something on his store, he posted the O.K.L.F. freestyle on his story That's O.K.L.F. nigga, that's my hood Put it in his face, get that s**t understood And I want to say I got a call probably like five minutes later After I saw the post and Hello It was a different number, you gonna answer them Different area of the code This might be the break I answered and it was E-40 Lyrically, can't nobody fuck with Ty Harris He's an OG Putting or composing music, can't nobody touch him It's just, I don't know why people are not Being receptive to him And it sucks because he give me that same lane how It was Lil Runny Even though everybody know Lil Runny, mother f He still is underrated because people don't respect and value He's the Dallas Ludacris Yeah, most definitely Like, he is one of those, he's one of those ones He's one of those ones for real, he's a special kind of guy And lyrically, content, putting together a song He got the hit records Like, what more do y'all ask for him and y'all still don't get that man to create And I love the personality, I love the fact he's not into all that beef and anything like that It's a lot, it's a lot of underrated cats Man, if I sit back and just think But you said Ty Harris would be your number one underrated I think Ty because I just, I love his, him musically Like, he is, his content, his videos, his subject matter He dope Man, let me tell you something man, and shout out Lil Runny Like I said when I opened this platform up from day one He one of those guys that I didn't have to say nothing Twice, he came and not only did he came, he dropped Jules He dropped just pretty much gang like, hey He said be very careful about who you bring on the show Once you see it after a while, that's what you want to be a part of You want to get the people in here that win Two, three years from now, you'll be able to post They boss talk interview and they on breves Cause you like, y'all remember when they came here That's right, that's right But you got everybody else But I've been trying to pick the right people man As long as you pick it, be picky bro You don't want to water your brand down All these different things, cause he knew he said He wanted them dudes to say, especially bro What you doing is going to be great They could see it, like it's niggas that come in here and be like When you have people flying in from North Carolina You just open this thing up or say a call to somebody Just fly in, like I want to be on boss talk Just call you And fly on the same day Yeah, it's like, you're not expecting this But then when guys start blessing you, you're like Dang man, this here is dope Like you get to deal with certain people But he was one of those guys that I could listen to Or if I called him and I needed somebody And I couldn't get to him, he was going to call So I'll give you favor with certain people man And it's just a dope thing So when you mention him, I thought about that But Ty, when he came on this show, we know he talented I love the way that