Hi, I'm Finella, and if you don't already know where I work, that's great because I want this presentation to be about what I'm talking about, not where I currently work. Visualisation of data. How can we bring our collections alive for any audience and make it engaging? We really need to make that more interactive and effective in the way we interact with the data that we have. We need to make that accessible and standardised. So imagine you have a global map of your data. How does that look? How do we make that effective and link it back to the actual object or collection that we're working with? So imagine we're looking at the Gettysburg Address, and as you look at that we can start to pull up all the different types of scientific data that tell us about the content, the handwriting, the particles, the processing. What does the ink look like and the thumbprint, which might be Lincoln's? How do we connect the scientific and the digital humanities together? The hyperlinks between that that help the curators think about their collections, but no, it's not connecting, it's integrating. We're integrating that data together. We're making that social media component to bring the data alive. What are some of the challenges? It's transdisciplinary, not just multi. We're going across. We're not segregating our disciplines but integrating them. We're linking the content back to the original object, and we're trying to get away from the proprietary data components. Just an example of large data when we talk about spectral imaging, we can get one to two gig just from one capture of an image. What does that mean? What does that look like? And how do we actually access all those components together? So what we actually see with that is what I affectionately call shooting in the dark. There's different information in every one of these wave bands that we capture from the original object. And then we can take that further and take it a little bit to what do we see within each of those bands. You'll see things start to appear and disappear as we go through all the different bands here. And the way we process that data brings different parts of it alive. Also, we can take that a little bit further and say, well, how much data do we get from one single document? We can get up where 24 to 30 gigabytes. That's a lot of data, but with public domain we want to make it accessible. We also want to show the different components of the hidden text that's within our collections that we didn't know was there. So taking it back to the challenges that we have, well, manufacturers don't really like making metadata available. We have to push through and make them want to share it. We can do that. We're doing it. And researchers are restricted in how they can access that if they don't have the same software. We have to push through that. The one token slide, don't be afraid. Underlying this visualisation, we have to have a robust database to support that and make it available and easy to integrate data into that. So an example of bringing that alive, the Voltsumula 5007 world map, the first map to refer to America. When we look at this with different types of imaging, we can look at the first reference to America there. And we can look at the central sheets that originally had cartographic lines that had faded over history. Well, those don't exist anymore, but with this special imaging we can bring those back. We can show where they were. We can do a little bit more processing even so and show where they start and finish. For a curator, that's really important back in 5007. As a scientist, I need the curator to tell me that's important. We have to integrate. We can then look at how do we process that differently to see what the original wood block might have looked like. What tools did they have in 5007? We're pulling the curatorial and the scientific together and making it come alive. But wait a minute, 5007. That's a long time ago. What did the world look like in 5007 compared to now? When we spin on what they had in 5007, they knew a lot about the bottom of South America there. What journeys were people sharing? How do we link that together? So, let's bring that together again. We're layering this data in terms of all the different types of scientific information and we're linking it back to what the curators know and understand about these collections. Making it alive, linking it, layering it, taking it one step further. What's the geospatial component? What parts of our collections aren't linked yet that we know about? So, here's the 1513 Ptolemy Geographia. When we looked at this and we went through some of the different papers that were used in it, we found a crown watermark that might be kind of interesting. But what's even more interesting about that is that we could actually link the Ptolemy with the watermark from the Voldsimula. Well, cutting a really long story short, we have now put those two documents together and everyone who worked on them. They start in 1506 in Sundia. Their funder comes alive to print the Voldsimula map. He dies. They regroup. They go to Strasbourg. They finally get back to printing the Ptolemy Geographia. You didn't know that they could link those documents together. So, what do we have? We need to integrate the visualisation through the object. We need to create a shared language and we need to have a transdisciplinary linking breaking down the silos. Thank you.


Expenses pay to to an obtain a mortgage. So certain expenses you pay to obtain a mortgage on your rental property can't be deducted as interest. These expenses which include mortgage commission, abstract fees and recording fees are capital expenses that are part of your basis in the property. Now this is something that it seems like well what's the difference but it can have a big impact because what we want to be able to do is record things so that we can get the expense as soon as possible. So what I'd like to do is say hey look can't I record this like as an expense right now as like interest I'm paying now or something so I could take the expense now because if I have to record it as part of the purchase of the property then I'm gonna have to put it on the books as an asset and I have to depreciate it over a very long time frame which is a lot worse than getting the expense so the general rule is that I would like to whenever possible that get the expense sooner rather than later. So form a 1098 mortgage interest statement so if you paid $600 or more of mortgage interest on your rental property to any one person you should receive a form 1098 or similar statement showing the interest you paid for the year. So you're probably familiar with that form with regards to mortgage interest for a home your personal residence obviously you get a similar form similar idea similar concept here but it wouldn't be deducted on like a schedule A if it was the rental property it would be showing you the interest that was paid for the business property so if you and at least one other person other than your spouse if you file a joint return reliable for and paid interest on the mortgage and the other person receive form 1098 report your share of interest on schedule E form 1040 line 13. So attach a statement to your return showing the name and address of the other person on the dotted line when when to line 13 enter C attached. So normally you're going to get that 1098 the IRS also gets the 1098 if the 1098 didn't go to you but went to someone else but you are responsible for part of the interest now it gets a little confusing on the IRS's side of things because they would expect to be seeing the 1098 so you have to tell them this is my portion of the mortgage interest and the 1098 got reported to this other person for whatever reason legal and other professional fees you can deduct as rental expense legal and other professional expenses such as tax return preparation fees you pay to prepare schedule E part one so when you have tax return preparation you can allocate part of the fee because part of the fee was for the business use of the schedule E the rental property for example on your 2022 schedule E you can deduct fees paid in 2022 to prepare part one of your 2021 schedule E so you can also deduct as rental expense any expense other than federal taxes and penalties you paid to resolve a tax underpayment related to your rental activities local benefit taxes in most cases you can't deduct charges for local benefits that increase the value of your property such as charges for putting in streets sidewalks or water and sewer systems these charges are non depreciable capital expenditures and must be added to the basis of your property so we have a similar situation we saw before from our perspective and the taxpayer side we would like to say hey look I would like to expense these now rather than having to add them as part of the property so that I can get the benefit from a tax perspective today as opposed to depreciating them over a very long time frame so those common scenario often comes up and from our perspective the question is always is I would like to get the benefit sooner rather than later can I expense it now rather than capitalizing it and the tax code is often saying we want you to include that as the capital assets so that you get the expense but you don't get it until you depreciate it so you get this longer big long time frame and the expense benefiting over time okay however you can deduct local benefit taxes that are for maintaining repairing or paying interest charges for the benefits local transportation expenses so you may be able to deduct your ordinary and necessary local transportation expenses if you incur them to collect rental income or to manage conserve or maintain your rental it's a rental property so now you're moving around to collect your income that's going to be part of you know the business system so you would think those would be deductible however transportation expenses incurred to travel between your home and a rental property generally constitute non-deductible commuting costs unless you use your home as your principal place of business so now we've got the situation and this is kind of they're trying to kind of mirror what you might see on like a business side of things so if you had a w2 like employee they don't get to deduct the the commute that they have to go to work so you would think that a schedule c business or a schedule e business rental property also wouldn't get to deduct like the normal commuting costs i think is the general concept here but what if your your your home office is your principal place of business well now you would think that the movement from your principal place of business to some other place could be non commuting and therefore deductible and then you get into the questions of what does it mean to be your principal place of business and so on and so forth and you could see publication 587 business use of your home for information on determining if your home office qualifies as a principal place of business so generally if you use your personal car pickup truck or light van for rental activities you can deduct the expenses using one of two methods we got the actual expenses or the standard mileage rate so that's the the common issue with the automobiles when you're doing your bookkeeping you're going to be you know having expenses come up gasoline maintenance and so on recording that but when you're then recording it for taxes the question is do you want to have the actual use the actual method or a standard mileage method similar kind of concept that we see on a normal kind of schedule c type of business the standard mileage method is usually kind of easier to calculate and so then you can try to think about those two methods in which would be most beneficial oftentimes in the first year of operation the the direct method might be more beneficial especially if you're allowed to use accelerated depreciation methods but then you can't you might be limited from going from the direct method and then switching to the standard mileage method so you kind of have to think about it in terms of what do you think the benefit will be over the life of the use of the vehicle as opposed to in one particular year so any case for 2022 the standard mileage rate for business use it's 58.5 cents per mile from january 1st 2022 to june 30th 2022 from july 1st 2022 to december 31st 2022 the standard mileage rate for business use is 62.5 cents per mile so now you've got two rates for the year because they increased it like in the middle of the year so for more information see chapter four of publication 463


Hey, hey, Tony Gaskin here. Thank you so much for joining me on another episode of talks with Tony Got a question from a young lady. It happens to be another patron So I guess when I sent this notice out to my patrons, you all wrote right away It says good day, Tony. God's blessing and favor always. Hey, thank you so much for that How can I heal and stop judging myself for being so naive? Saw all the red flags but didn't act on it or study my gut feeling It's really funny But before I made the decision, I heard one of your teachings about love play over in my mind You won't have to question if it's love or not. You'll know but I shrugged it off My last relationship was the straw that broke the camel's back so to speak We had been friends for over 12 years Live on two different islands spoke occasionally because we didn't want to disrespect ourselves and partners And we both have different religious beliefs. I was a Christian and he's a Muslim I was under the impression that he was single and I was single for one year working on me Following your teachings, we got married because of his religion and I didn't want to do anything unlawful I accepted his faith his faith and then the mass came off Don't even know if that was friendship or a fake ship lol But we were four months in then he told me he had a second wife or Should I say a first wife who is very much aware of me, but I'm not aware of her I broke down crying because I don't think I will ever ever ever be able to trust a man in life Period from this experience. How does one heal from such lies and deceitful behavior? Hmm Well, I'll tell you this. Okay lies Okay deceitful behavior. We have that Judging yourself feeling guilty, but here's the thing. Here's the thing. Mmm. Mmm.  I tell my wife. I said babe slap me and Oh, she takes great joy.  It's my blood flowing. It wakes me up You might literally have to sit here and just Look at these red flags and you might have to read it out loud Different religion wow slap yourself so it etched in your mind different religion Slap yourself. That's a red flag. Some people say it's not some people. Oh, I know somebody You know, they're this and they're this and they're in this relationship and they are absolutely perfect But one you don't know nothing because you're not behind closed doors with them to if you're in that relationship Let's be honest That you may be carrying the title, but you're not living it out. You're not being somebody's not being true to their core beliefs That's why it's a different religion if you believe the exact same way it would be the same religion It wouldn't be called a different religion. And so when you look at Muslim and Christian, let's just speak to your situation Muslim believe Jesus was a good man Muslim believe Jesus was a good man. They do not believe he's the son of God Christian the entire Christian belief hinges on The fact that Jesus is the only begotten son of God who came and gave his life So that you may have everlasting life So the crux, you know, I don't know if I'm using that word, right? Let's say the foundation the rock of Christianity is the belief that Jesus is the way the truth and the life that no one Gets to the father but through him So how can you be with a Muslim who yes, you may not have nothing against them? Yes, you may love your brother your sister. Yes, you may love them as a person But when it comes to the foundation of belief if they don't believe the same Then you're on two different paths. Your trajectory is different, you know, what your afterlife is different You know, your belief system is different and maybe that's why some people are against religion. Oh, that's the problem It divides us it divides us, but hey If you've made a personal choice to believe what you believe and they've made a personal choice to believe what they believe Then hey so be it so That was one of the red flags You said we have been friends over 12 years That's another red flag. I talked about that not long ago in a video If y'all have been friends and y'all knew each other, but y'all didn't see fit to be together But instead both of y'all went and got in another relationship, but y'all knew of each other. You're not meant to be Because if y'all were meant to be y'all would have been together instead of going and being with someone else live on two different islands I'm guessing you're talking maybe it's like different islands in the Bahamas or maybe something like Trinidad and Tobago. I'm not sure But spoke on occasion But spoke occasionally because we didn't want to disrespect ourselves and partners. So He was off limits Because you have a partner he has a partner And then come to find out you were single for a year working on you and you was under depression that he was single Because he's just living that life you get together you get married based on his religion, which is a Muslim religion you didn't want to do anything unlawful because as a Christian You know if you're gonna be having sex if it's outside of marriage then it's fornication So you got married so that you wouldn't be in sin But in his belief system he can have multiple wives He felt no issues with it. And so he has a wife and he married you you found out It all comes back to Ignoring the red flags So when you say, how do I heal you heal by getting more knowledge? By getting the knowledge and you heard the knowledge you heard it and you ignored it You said but I shrugged it off and you shrugged it off because of desperation Because of loneliness. So that's what I call this ignorance ignorance is bliss Because ignorance is bliss until the consequences hit Ignorance is bliss until the consequences hit It is no longer blissful when you get punched in the mouth with a cold harsh reality of The truth of your decisions. So understand that be very aware of that.   Yes, I'm his wife. I understand you're his wife, and I'm okay with it because that is a part of our religion If I believe that's very pertinent information and you would have stated that if that was the truth So she may not even know about you He may be lying to both of you and now he's telling you to see if you'll be okay with it to see if he has You up the creek without a paddle a lot of men, especially grown boys and myself included have tried to get women up The creek without a paddle break the paddle over our leg now You got a sink or swim or you got it, you know stay in the boat with us You either go where we're going and we don't know what we're going so we lead you to destruction anyways or You hop out and drown in the high waters.  She said I'm gone. I'm out of here.  You from an island. I don't know what island But I know if you from my island, you know about you saying both and that's what you got to show him That you you saying both track shoes put on old track shoes and come out those blocks and set a record time for how fast a woman could get away from a man and Chalk it up and and slap yourself three times and I don't do any more to yourself You know don't don't don't cut yourself or anything like that But just take the hand, you know take that hand and you need to spit on it get your luck Get your little spit on it. I want you to just get you a good good slap I mean you need the cup that palm need to hit right there and just get it in your head You know, sometimes we got to feel it to heal it We got to feel it to heal it You got to get this and I'm speaking metaphorically, but I'm also kind of speaking literally if you need to but you need to feel This here lesson you need to get this lesson in you. And so if you don't want to feel it physically like that Sign up for coaching Sign up for coaching. You know what because that's 150 dollars an hour.   It may be feeling it through a season of loneliness to where you're hurting You lonely you want to date you won't love you want this But you got to sit in your mess until this lesson sinks in that says never Ignore the signs Never ever again see a red flag and ignore it or not address it Hey, this Tony Gaskins. Thank you so much for sending in your message. If you have a question Please send it in to inbox at Tony gaskins.com. This is also on my podcast So if you don't oftentimes get to YouTube to see the video you can download the podcast Tony Gaskins show if you're listening on the podcast and you want to see the video you can go to my YouTube click subscribe And you can watch this in video, but thank you so much for submitting your questions Thank you for watching or listening. We will talk soon


All right, welcome to day three of admin of code in Haskell Yesterday We were helping the elves with their rock-paper-scissor game. So the lore goes that they're They're on some expedition to the starfruit grove And we collected some starfruit no no first we checked that they had enough calories for the expedition Then we helped them out with their Rock-paper-scissor tournament over or we helped ourselves to decode the strategy guide and Now it's time for day three Let's see what we got today also The video for day one is up the video for day two will be up at like 645 today So check out the YouTube channel right if you want to catch up. Hi, you know you want to watch this dream, but oh Hey, hi a little Annie She is my biggest fan First subscriber even I think We have more subscribers now someone last stream they gave away a bunch of subscription edible monad a fellow Haskell enjoy I also like this part right where they kind of slowly reveal the Yeah, so one problem with this is that it nicely we have 24 days Right, so Christmas is on the 24th in the evening But here it's until day 25 Which isn't let's check out the stats. I want to see See a lot of people do day one and day two people haven't done day three yet But you can always see like it kind of Gets down. All right. Let's do day three of advent of code Okay, so Rocksack reorganization One elf has an important job of loading all the rock sacks with supplies for the jungle during Unfortunately that elf didn't quite follow the packaging packing instructions, so a few items not need to be rearranged Each rucksack has two large compartments all the items of that type Of a given type are meant to go into exactly one of the two The author did the packing failed to follow this rule exactly for one item per rucksack Your alice made a list of all the items currently in each rucksack But they need your help in finding the errors every item that type Every item type is identified by a single lowercase or uppercase letter. That's a Okay, so different letters between different items and then The list of other green characters in a single line given rucksack has a same number of items in each of its two compartments So the first half of each character is represented as in the first compartment I was second half of each care of the character representatives from the second compartment Okay, means okay, so we split the string in half While the second compartment contains the items, okay Okay, so we're supposed to Okay, so we split the items. Okay, I mean we find the common ones To help prioritize re-item rearrangement every item type can be going in a priority Okay, so just couldn't work the letters Can I do this in right now? I just want to think about the Is our function a don't go to GCI import data.char Now we're gonna use type tolls. I Implemented this in GC did it to int See it's a useful feature digit to int of a 10 be 11 Oh This is not the I want to I think I want to do from enum here the other function Yeah, okay, so it starts off. So like a is this B is this right? So it's like the ASCII character set But it starts with the opposite Okay, so let me just write this a This function first like priority and char to prior right? Let's say module main where Char to prior is gonna take a char and give us an in Now we're gonna import data.char Oh, no, maybe I don't even need that. Oh, it's in the preload. Yeah, I don't need that a Wait, what is this word here or a Okay, it's just the same Function as from you know Okay, a I don't need a chart to prior chart to prior equals Okay, so So said it's gonna be 52 right so we say or Said that's 90 right and then it starts at 97 Okay, so if it's lower case, we're just gonna do minus Okay Let's just do it like There's some mathematical formula we could use here It's lower Okay, so it's lower C is It's lower C equals From enum C. Okay, so then we get the 97 and then we want to do 97 minus 95 95 otherwise otherwise it's going to be let's say Where IV this is in 12? So here we say from you know IV a IV minus 95 and otherwise it's IV minus so a big a is 65 but it's supposed to be 27 I want to say 65 minus 27 So, yeah, it's a 65 minus 38 is 27. Yeah, don't worry. I got a math degree They don't really teach arithmetic in math degrees actually so you want to do minus 30 Okay, we got a chart to prior Function and now we get the strings this time. I'm just gonna Yeah, let's do it for the example new file Example, okay Paste it. Okay. So what I'm actually gonna do is I'm just gonna convert them to priorities Right away, okay, so read input is gonna be a File path to List of list of units I Read input equals do F read file read file FN then I want you to do Lines so we want the lines. Okay, let's just do the same without And then I want to do F map a Want to do lines and then I want to do map chart map map Char to prior And now it doesn't like it because Okay, where and now we just Huh, see it's all about clean code Main IO, okay main equals Example Now there's something wrong here FN is no longer there. Okay, I think we need to do now like this. What is the error here? Expected because we do F map lines Expected so now read file.  So if I do here So I do here I Yeah, it doesn't it doesn't actually give me anything here, right even The error message does say there's a bunch of refinement whole fits, right? But my code completion action Doesn't work, which is quite sad. Um, I should report to somewhere a Because they started Using this other thing and like the wingman thing and the wingman guy He just H type because in the beginning it's true. They were slow But now they're super fast I think this works in the This works in the latest version of each other. So I don't want to see how that works It's quite annoying right because you can just you usually be able to just do total period and then it would just work Okay, and now we have the lines return map map chart To the lines map to this Characters chart to prior. What is this right? I used to be able to do this Can we do this in day two? Okay, this is why it's been going wrong. Okay, now my undo buffers. We had to get to start over module main Okay, import this. Okay. Now this one should be read input file path to I.O. This is what it was I Wrote I.O. I.O. Oh my god. I guess that's what happened I like press tab and then it auto completed and removed it Okay, and I've used no longer there where no it works, right? Okay, you know we're gonna do gco day three day 3.hs and I put the example file in the wrong directory Okay, now we have all the prioritizations Okay So task one so we're going to take a list of pins and we're going to return the prioritization Task one equals exits equals So now we're going to do Split that Okay, so we split it at the length divided by two Right and split at 2 Uh, so let's say where l equals the length Exits now Comp 1 compartment 1 compartment 2 equals split at l Do 2 divided by 2 of x's And now we want to find a The only item that appears in both compartments But I have copies of the items, right? Uh This is Overkill, uh, we're not gonna use sets, right? Let's just say data dot list Because I think we can use like some of the set functions. What would this set? right Uh intersect So then we take the Intersect of the list and only one of them should be there. So we're gonna say a Head Intersect Comp 1 Comp 2 this is from data dot list Import data dot. I mean this is not fast. We should really like convert it to a set and then to the intersect But uh We're doing it once so if it's task 2 is like I'll do it a million times so we can do it Right, but uh, that will be premature optimization, right? and 17 38 42 16 38 42 Then it says 20. Okay. So we're just off by one with if it's lower. Yeah makes sense. So it was 96. Okay. So 16 38 42 22 2019 and the sum of that is 157. All right. Now we got it. Let's do our input here input. All right Day three input 75 53. Let's see if that's correct We did task one Now let's see how long it takes to take test Okay, actually finish it and let's come up with a different issue for safety. The elves divided into groups of three It's of course your budget Uh That is group Spanish item type B. Then all three elves will have item type B somewhere in the rucksack And the most two elves will have to be carrying the other item. Oh, okay That is the only item type carried by all three elves That is if a groups match Is item type B then all Three elves will have item type B somewhere in the rucksack and the most two of the elves will be carrying any other item type So all three elves will have type B Uh, and the most two of the elves Will be carrying It's by finding the one item type that is common between all three elves in each group Every set of three lines units comes from the single group with each group having three different batch items I don't get like all three elves will have item B somewhere in the rucksack And the most two of the elves will be carrying any other item type Okay, uh First groups rucksack are the first three first three lines second groups are the three lines Okay, so I don't get this carried by other item types, but I think we can just ignore that uh To pass to So first we're going to define the chunks function, right? chunks chunks takes an int and a list Of aids and returns a list of lists of aids now chunks and equals A So what we do here is we do An axis okay equal so case length axis me equals If it's less than or equals to n Then we just return axis. Otherwise let uh s r Equal split add n Exes and then we return in a s chunks So what this is going to do is going to split up the things into three, right? So great input Example example print Chunks three List Uh, okay chunks zero Okay, so now we've got a two lists of threes. Okay so task two Task two it's going to be first of all Going to be a list list of pins to It's going to I mean it's going to return the sum in the end task two. Okay so uh where threes equal threes Chunks three Uh, okay in so here we got the uh Inputs, okay, and then we're gonna do Uh Sets and now we're gonna do you sets actually import data dot set as set qualified Import data dot set set. We don't actually need that. Okay, so we don't do Sets we're gonna map set dot from list to the threes Now I have a list of sets. Okay, then a Intersects equals Ah, so we don't do the map map. Okay, exactly so Let's just be undefined But because you want to type check the rest, okay a So threes These equals list of list of list of hints So this is going to be because we're chunking it up Sets Is going to be a list of List of sets now a Interts equals map. So this is going to be list of sets And inters is going to be map set dot intersect Can I do intersection here? Uh set that intersection I think we have to do full map of the sets Okay, now these should all be containing one element So we're going to say who We're gonna say data dot set data dot set So we're gonna take like the minimal element Let's just use So I can actually do a yeah, man minimum maximum doesn't matter And so we're gonna do uh some map minimum Interests so we get 70 for the first one Now let's see what is this for the input 2758 let's check if it's correct We completed day three in 30 minutes, not bad Not bad at all. I like the You know just like it's quite simple, right? We just do do do do. So Uh, we use set here. We probably it would be probably nice today to do Something like this, right? These are already importing set, right? Just uh, yeah keep it smooth All right. Hey, yeah super short today again. Um, I like these So this is just a bunch of set intersection and Let's go back to the lore. What do we do? Yeah, we help them with the rugs hex That's great. All right kids Hey people Whatever you prefer to call yourselves Here's a short stream today. Um We'll be doing longer streams. You know once the difficulty kicks up But yeah It's Saturday Happy weekend. Enjoy your December And uh, you see tomorrow same time Two o'clock We do a quick session And that's it All right Bye-bye


U.S. soldiers from five NATO units participated in exercise Steadfast Jupiter October 11th through the 21st in Stavanger, Norway. Steadfast Jupiter is important because it is our certification exercise to be NATO's response force. The best part of this exercise was being able to see our multinational partners pull together to create a credible war-fighting force. The growth we've had as a team during our time here was awe-inspiring and I am honestly humbled to be a part of this awesome team. This is a great team and I will go to war with it any day and I don't say that lightly. They are awesome partners and I'm looking forward to working with them through the rest of my time here at 1GNC. Multi-domain, multi-echelon exercises such as Steadfast Jupiter ensure an increased advantage against potential adversaries across all domains in the European theater, providing strategic predictability for NATO allies and partner nations.


At Big Data SV 2014 is brought to you by headline sponsors WANDISCO. We make Hadoop Invincible and Actian, accelerating Big Data 2.0. Okay, welcome back everyone, we're here live at Big Data SV, I'm John Furrier, the founder of SiliconANGLE. It's our day one wrap up of Big Data SV, covering the Stratoconference and all that happened is a big data in Silicon Valley, all the innovations, I'm here with my co-host Dave O'Loughy, the co-founder of wikibon.org, joined by industry analyst, wikibon analyst Jeff Kelly, just put out the seminal report again on another authoritative Big Data study, guys this is the wrap up and day one, I think the initial vibe here and the report is ton of news, you see in the distros, really being successful, obviously Hortonworks has the red hat announcement, they were just on early with Microsoft, you're seeing Big Data explode into more of a budget oriented discussion, we're starting to hear now, we always say where's the proof in the pudding, where's the rubber reading the road, where's the steak on the bone, meat on the bone, and that is customers, you're seeing a lot more business conversations with budgets, with deliverables, with outcomes, so very exciting, we had a lot of great people on Dave, and what's your take, I mean first we'll get your take on today and then we can go into some of the commentary. Well, like I said earlier, I think you've seen a lot of focus on partnerships, a lot of distribution, a lot of relationships, a lot of ecosystem development, which is a sign of maturity, I think we are hitting that phase of okay, we've heard a lot of announcements and product and other innovations, and now you're seeing more partnerships, you're seeing new pricing models, you're seeing people tweak, and I think toward the end of this year you're gonna start to see the pretenders separated from the contenders. Jeff, what's your take on that? I don't know if it's gonna happen this year, I think it's gonna take a little bit more time before the pretenders kind of get weeded out of the field. Yeah, because there's still a lot of VC money out there. There's a lot of money out there, so I don't think this year's gonna happen. We'll see a couple, we saw a couple last year, we'll see a couple this year, but I think it's gonna be a couple more years before we start to really see, you know, in our industry report we had what, 70 plus vendors, maybe you know, I think next year we'll have just as many, but maybe in three years it might only be, you know, might be half that, so we'll see. But it will shake out. So when's the bubble burst? You say in two years? I think at least a couple years. I think at least a couple more years before you'll start to see the field win-out through acquisition and through a few, you know, some will fold. So I got to get to the take, Dave, we always talk about like the entrepreneurial side-bar conversation, start-up, making the innovation, having the Silicon Valley, what's your take, and from your standpoint, making the state-of-the-start-up landscape for big data? So I think as we were just talking, I mean, there's still a lot of VC money in the pipeline. You're seeing, even though they wouldn't call it a roll-up, it's really interesting to see what Acti and did in terms of bringing in all these different companies and presenting it as a platform. And so, and at the same time, you look at a company like Paxata, Paxata is, you know, solving problems that people have been talking about, and we'll see. I haven't seen the solution yet, but from what they're describing and the customer update they're describing, there's still some innovation going on here.  So I think there's still a way to go. I think that a lot of the things, whether it's, you know, text analytics, whether it's making Hadoop run better, whether it's real-time performance, you know, a lot of those problems still haven't been solved, and I think there's money pouring in to a lot of start-ups saying, okay, go ahead and solve these problems.  I think this is the year that if you're, if you're very well funded with VC money and you've been around for a few years, four or five years, you better start to show customer traction or you're going to be out of money in a couple of years, and you're going to be one of the ones that disappears. So I think that you're starting to see, it's like the jockeying before the start of the race, you're starting to see the positioning taking place, and I think there's starting to, as you squint through it, you're starting to see some of the companies that are better positioned.  I think this year is going to be, I mean, this is going to get intense this year. This is going to be a real fight because you're starting to see real revenue from Hortonworks, from Cloudera, from MapR as well. MapR is not going away, by the way. Yeah, we never thought they were.  That's the Silicon Valley whispers, you know? Yeah, you hear it all the time, but I think you're going to see this year is really when, you've got companies like Cloudera, for instance, they need to hit the 100 million revenue mark because they want to go public the following year. You're going to see Cloudera, sorry, Hortonworks. Similarly, I think they have now kind of revved up their channel. They've got Teradata, they've got Microsoft, Salesforce ready to go out there and really start selling. I think you're going to see a real boost from them this year. And it's going to get, you know, if I think, you know, we, there were some back and forth in the market between those players and MapR as well. I think it's going to only increase this year. The stakes are high. There's a lot of money being invested. There's going to be more money invested in those companies this year. You might see more raise. So John, when we first started here, it was like, okay, what is a dupe? And how can I use a dupe? And Cloudera had no competitors. You were early on, you know, used to be co-resident at the Cloudera offices. So you had sort of the early, you know, line of sight into this, the market trends. How has it evolved in your view and what has surprised you and what have, what has not surprised you? I mean, if I think about it, it's a lot of things have surprised me. Some things haven't surprised me. One thing that hasn't surprised me is the dominance of Hadoop as a viable open source platform. I saw that early on. We both were early on in the Hadoop world. It's now evolved into an industry. It was pretty obvious that trajectory was relevant and it would be an industry. The disruption didn't surprise me. I think the disruption of Hadoop was as expected on my radar. What surprised me is Cloudera didn't dominate as much as I had thought they would. I thought Cloudera was going to absolutely be public by now. I thought that they would be dominating at many levels. I think that they got caught early on thinking that they had a good lead. I'm surprised by Hortonworks. I'm surprised by their rapid ascension to a number two if not challenging Cloudera for a number one position. The red had announcement and Microsoft clearly is validation for Hortonworks. At the same time, Cloudera is valid. What didn't surprise me was I said when Hortonworks came into the market, I said there's plenty of beach for everybody. Remember that comment? There's plenty of beach head. Just get your sections. That's true. I think the Cloudera-Hortonworks conversation never really materialized. I think Gigong was like, the war, the distributions. I don't think that there's going to be a problem. I think Hortonworks is going to have a good business model. I think Cloudera is going to have a great business model. I'm bullish on Cloudera. I'm surprised they didn't dominate as high they did, but I'm very bullish that Cloudera is going to have a nice position in the market. I think they're smart enough to differentiate, but clearly they're different vectors. You look at Hortonworks and Cloudera, completely different animals in my opinion. Again, that was a surprise. I'm surprised that the big guys have not come in and done a lot of buying. That's a surprise. I thought there'd be a lot more M&A activity at this level. I think this might be the year we see some of that M&A. Yeah, do you think that the big guys don't know what to buy yet? They don't know where to place their bets? Or they don't think it's real? What's your take on that? I think it's similar to enterprises out there. They're trying to determine who they're going to place their bets on, who they're going to bring in, whether it's the Hadoop distribution which one to pick, if it's a SQL database which one to go with. Similarly, the big guys, the mega IT vendors, they're not sure either. They're watching this play out just like the rest of us. Frankly, I think some of the big mega vendors really are still just trying to get their thoughts together on how they're going to compete in this market because it's so disruptive to the traditional business model of some of these big companies. I think the reason why in my opinion is that it's just too frothy. Look at the valuations of Cloudera, Hortonworks. It's just priced out. I think the VCs that are behind say Cloudera and Hortonworks are big time VCs. You've got Excel and they're contingent. Hortonworks has a benchmark on their contingent. They've got big bets. They're expecting massive returns on that. Once you hit that valuation, you're way out of range. Look at on the consumer side, Box.net is going to go public. You've got Dropbox. The valuations are outrageous. If they don't get sold or go public before the bubble bursts, then it's going to come down to revenue. That's why you're seeing this year really start to feel the energy that is going to be an explosion of growth because it's at that point now where if they don't start banking some revenue, there's a diminishing return going to kick in. They have high valuations. It's like, come on, we've been hearing this. Let's see it. I think that's where the energy is coming from. How important is the distro? You've got really the big three in the distro space. We talk about IBM, we talk about Intel and others. The big three, there are Hortonworks and MapR. How important is it to own the distro and what impact has Hortonworks' entrance into the marketplace and their dogma toward open source affected that dynamic? Well, I think Hortonworks has really changed the dynamic significantly. They're giving away the product. That's significant downward pressure, price pressure on the other competitors in this space. There's different ways to compete with that. You can try to build application or I should say build kind of modules on top and kind of expand your value to those types of things like Clutter, Zoom with Impala and their Spark announcement today. MapR has been focusing more on bringing in some transactional workloads on top of HBase. They're kind of up leveling the conversation as one way to compete with that. How important is it to own the distro in the sense that owning the market, it's a potentially valuable market, but it's not huge. Actually, when you look at our forecast, Hadoop is really just a small slice of the overall big data market and we forecast it to remain that way. So you're saying it's not critical? Well, I think it's from a leverage standpoint. I think it's an important part of the overall picture, but it's not the most important thing necessarily. There's so many other components that go into leveraging big data. We've talked to Syncsort today around data integration. One topic we didn't get into too much today is the cloud and what role that's going to play. Then you've got all the application providers that are going to come out of the woodwork as we progress as the infrastructure hardens. That's where the real value is in my opinion is the applications and the service providers. I want to ask you about the changes in pricing models. My understanding is cloud era has changed its pricing model or is it still experimenting? What do you know about that? What can you tell us about that? Yeah, so they simplified their pricing model. I think they got some customer feedback that essentially their old model was confusing and they made the strategic decision to streamline their offerings and how they priced those. So essentially down they've got three basic pricing levels. They've got the basic edition which is your core Hadoop and then the management software including their proprietary management software. I think what they're calling flex, their flex option essentially in addition to the core Hadoop and the management software, one of the add-on modules whether it's Impala or Spark or Search and then their enterprise data hub is the third pricing level which is essentially all you can eat. It's the core Hadoop, it's the management software and as many of those models on top as you want to use. So they've just tried to make it a little bit simpler. Before they had subscriptions for backup and recovery for too much great Hadoop. Yeah, it was just a bit confusing and they realized it was important to just kind of simplify that. From a pricing perspective, the pricing that both on, you could price that as per terabyte or per node. So they try to offer a little bit more flexibility but at the same time simplify it. So that makes sense. I think it's a smart move. Frankly there's a lot of confusion still in this market whether it's Hadoop specifically or big data generally. So when you can take steps to simplify the conversation and make things a little bit easier for the customer to understand, that's a good thing. We're still seeing day of the trends. I've been taking notes here, the themes, data science, the Hadoop market still rocking database applications and development, legacy vendors and then new emerging areas, new modern approaches. I think the big developer conversations is also going to continue to accelerate. We're seeing that here today. The sequel that genie is out of the bottle. That's going to be a done deal. I think the big gorilla guy is going to take that down.  Yeah, well I mean the sequel on Hadoop is an important part of the overall Hadoop as a fully functioning multi application platform but that's what it is, it's a feature. So it's one part but it's a challenge to build a business just on that alone. So Jeff, you were out there on the ground at Strata conference. We were broadcasting live here at Big Data SV right across the street. What was it like out there? What was the vibe? Just give us some highlights. Who did you see? Do you see any celebrities? Any action at all? We had a lot of celebrities here on the queue. You probably had more celebrities here today. So it's day one over there at Strata. Not a lot of the full day and half day workshops. It's a core audience. Yeah, the exhibition floor wasn't even open yet. So not a lot of action to see. I did hear a little bit talking to a couple of the folks that attended the Data Science track today and there was a little disillusionment with that. A lot of the data scientists were people that attended the Data Science track, whether they call themselves data scientists or not, were a little disappointed that the content didn't go a little bit deeper, frankly, and they were talking about that on Twitter. So that's a challenge, I think, for somebody like O'Reilly over at Strata. They've put together this great conference. But I think what it started as we've talked about today, as you guys have talked about today in the queue, was a lot of mostly t-shirts. It was data scientists and hackers. It was some really cool and depth hands-on stuff. Now we've got a lot more busy people there. So as the core audience of a show like Strata expands, that's the challenge is to keep it relevant for all those different stakeholders. A lot of skill gaps, a lot of educational coming down, a lot of Hadoop data science, big data, data transformation, data fusion. Dave, I always talk about our first Hadoop, where Abhimeh and yourself and I were talking about data factories, the revolution. Abhimeh, if you're out there watching, shout out to Trasada, a great friend. He first coined the term data factories in New York City when it was Hadoop World. And we're seeing that. You're seeing the data fusion. You're starting to see that, playing and partying with data in a way that's business line, sea level, not CIO. This comes down to the data manager. Who's going to be doing the data? So these data factories need to be managed by people who know how to manage data. You know, there hasn't been much discussion today about security and data privacy. And I would expect the balance of this week. We're going to hear more about that. You mentioned Abhimeh, we're going to have Abhimeh on later this week. I don't know if there are guys from Squirrel coming on, I think they are. I'm sure they'll be talking about security as well in privacy. With Cloud and Snowden and all that stuff, it was a big topic of discussion last year. Certainly it really, I think, peaked at Hadoop Summit and then carried through big data NYC. What have you been hearing about the whole security meme? Without question, security is critical and it's not getting enough coverage or enough, people are not putting enough thought into it right now. And I think it's going to be a challenge as we kind of go from this really early adopted to mainstream early mainstream adoption of Hadoop and some of the other surrounding technologies. Security and privacy are two issues that are going to continue to come out. The industry really needs to address it. Most of the, with the NSA scandal, the eye of the public has been mostly focused on the government. But I think as people start to realize just how much data commercial enterprises are collecting and using, it's going to turn pretty quickly to the commercial side. So I think the industry, I've been saying this for a couple of years now, needs to get out in front of this topic. John, what do you got? So I just want to do a shout out and just as we wrap up this segment, thank our sponsors. We would not be here if it wasn't for the support of the community. We've been doing big data coverage now. We're on our fifth season. Dave and I have interviewed and the CUBE team over 3,204 guests. I was told by our team, actually it was like telling me we've interviewed over 1,000 people. Damn! 3,200 plus people, Dave.  Who are their names? We would not be able to do this without the support of sponsors. We have an underwriting model for that independent action. Bring that tech sports coverage to you. We love it. We love doing it. And the sponsors here for Big Data SVR, WAN Disco, ActiN, HP, Vertica, Cloudera, Tresada, MapR, Syncsort, InfoObjects, AlterX and Squirrel, we really appreciate it. And shout out to WAN Disco. They were also sponsoring Big Data NYC. It's the sport of the community and giving the vote of confidence with the sponsorship. We really appreciate it. And it allows us to do our thing and pay the freight to get all the equipment in the team here, the full teams here. And we're doing crowd chats. We're doing our best to extract the signal and share that openly and publicly. So thank you very much. I also want to say, so we're here broadcasting at the Hilton. We're in the Yosemite room today, tomorrow, Wednesday and all day Thursday. Also tomorrow night, Wednesday at 6 o'clock, we've got a reception, a party going on in the coastal room, just coming to the Hilton to go to the right. You'll see us there. So all our friends in Silicon Valley, even if you're not at Strada, if you are at Strada, definitely stop by. But even if you're not at Strada, come on by. We're in Santa Clara, right in the heart of the valley. So you're more than welcome. Friends of the Cube, we'd love to see you guys. Great. We're going to be back all day, all day live tomorrow, packed house, sold out. Everything's sold out. All the slots are filled. Editorial guests will be reporting live. A ton of news to talk about. A lot of action. Now it's time to go to the MapR party. We're right next door. We happen to have a beer with those guys. So it's beer time for the Cube guys. I'm John Perrier with Dave Vellante and Jeff Kelly. And the whole crew will see you tomorrow live. First thing in the morning here on Big Data SV, hashtag Big Data SV. Live from Silicon Valley, Big Data, Silicon Valley. We'll see you tomorrow.


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