Lauren Bulbert is not one known for reaching across the aisle in the Congress, but there was some of that here with her male companion. A lot of, let's say they were handsy in their behavior. As I'm sure many of you have heard by now, Lauren Bulbert is facing criticism after she was kicked out of a theater in Denver for vaping and jerking off her date. And since we learned about her perverted, dare I say, groomer-like behavior, she's faced quite a bit of backlash expectedly. But one thing that I did not anticipate was fallout from fellow conservatives who are also criticizing her, primarily conservative women who have a lot to say about this. But before we get to that, let's catch everyone up to speed who hasn't been following this amazing story. The Denver Post reports, US Representative Lauren Bulbert was escorted out of a Sunday night performance of the Beetlejuice musical in downtown Denver, accused by venue officials of vaping, singing, recording and causing a disturbance during the performance and jerking off her date. The incident report states that after receiving the intermission warning about five minutes into the second act, security officials received another complaint about the patrons being loud and at the time they were recording. Taking pictures or recording is not permitted at shows. The report quotes one of the ushers, quote, they told me they would not leave. I told them that they need to leave the theater and if they do not, they will be trespassing. The patrons said they would not leave. I told them I would be going to get Denver police. They said go get them. The report said after the two patrons were escorted out and reached the building's vestibule, they resisted leaving and said stuff like, do you know who I am? I am on the board and I will be contacting the mayor. Now I for one am not surprised at all that her first instinct was to go full Karen when she was being escorted out. She also reportedly flipped off the usher who was making her leave. And I think it's really bold of her to throw out a, do you know who I am? When you might want to downplay who you are in this situation after you were escorted out because you were literally publicly jerking off your date. The audacity of people like Lauren Boebert. But as she said all of this, she seemingly wasn't aware of the fact that there was security cameras. And on top of that, they caught her in the act in the dark. She didn't think that they could see what she was doing with her partner, but they saw everything. But before she realized that this was the case, this was the patronizing response that her campaign manager Drew Sexton put out. Now first of all, he denied that she was vaping, but she was. It was captured on camera as I stated and she was doing it in front of a pregnant woman who asked her to stop to make matters worse. But she claims that she was kicked out because she took pictures and was unaware that she couldn't do that.  So again, this was the response. Keep in mind before they knew about the security camera footage, they were incredibly arrogant, quote, I can confirm the stunning and salacious rumors in her personal time. Congresswoman Lauren Boebert is indeed a supporter of the performing arts gasp and to the dismay of a select few enthusiastically enjoyed a weekend performance of Beetlejuice Sexton wrote in a statement. Now seeing how cocky they are is very important because you're going to see the response completely change once they learn that everything was caught on tape, everything. But before we get to that, this is what Boebert said in response in an interview with Newsmax or OIN, one of the far right networks. But here's what she said. Kevin McCarthy, the Speaker of the House announced an impeachment inquiry yesterday. We're facing a government shutdown and trying to fund the federal government. We have a wide open southern border. We have Zelinski threatening to send refugees here. And what's the top story? Lauren Boebert getting kicked out of the beautiful theater in Burr, Colorado.  It's what the media does. So I was a little too eccentric. I am very known for having a animated personality, maybe overtly animated personality. I was laughing, I was singing, having a fantastic time, was told to kind of settle it down a little bit, which I did. But then my next slip up was taking a picture of, right? Can't take the images of the play. I've done it too. I've snuck them. Right. So you got thrown out because you took a pic and you weren't supposed to. But you know what? Here's my whole thing. There was no arguing. There's reports saying that I was arguing, threatening to call the Denver Mayor. I don't know why I would ever call the Denver Mayor. I think he would have tried to lock me up. Yeah. There was reports saying I was on the board of something. I don't know what I'm on the board of. I'm on the edge of a lot of things. Let me tell you. People that complain, here's what I'm thinking. You're in Denver, Lauren. It's very liberal. The people that complain to the ushers that you're being noisy could have recognized you and been like, Oh, that's that mega girl. Yeah. Exactly. You know how they are. I get it. Congressman Lauren Boebert, I think you explained it well enough in the mainstream media can take a flying. So they're actually going with the conservative victim complex narrative. How predictable. I mean, this is what they do now, right? Even with Russell Brand, who was credibly accused of rape with evidence by four different women. Well, it's because he's a conservative and he's being targeted because you got a little bit too close to the truth. They will always use this card because they refuse to be held accountable and own up to the things that they do, even if they are egregious, but she contradicted herself because she admitted that she was animated and she was told to settle down. But she's also being targeted because she's a conservative, apparently. Okay. She also admits to sneaking a photo, even though her campaign manager said that she wasn't aware that you couldn't, but she said that she snuck a photo, which implies that she knew she wasn't supposed to do that. But the problem is that even with all of these contradictions and the lies, she was caught in 4K. And I can't play the video for you, obviously, because it would violate YouTube's terms of use. But here's a censored screenshot of her partner caressing her breast while she rubs his pecker. And I can't help but wonder, since the play was open to children ages 10 and up, were they around any children? Did any kids see her and her partner engage in this inappropriate sexual behavior and were thus groomed and sexualized by Lauren Boebert? And the reason why I'm asking this very important question is because Boebert herself is someone who is very sensitive to what children are exposed to and even accused the left of grooming children over LGBTQ plus inclusive flashcards.  Is it not? So I mean, does this make her a predator? Imagine what she'd say if a gay couple was caught doing this. And to be clear, it's bad when anyone does it. You shouldn't be doing this in public. But this is somebody who implied that leftists were pedophiles for simply, I guess, supporting LGBTQ inclusive flashcards or not being offended by them.  And we already knew this about Boebert specifically before this quote unquote incident, when she was dating her ex husband, she justified him exposing himself to a minor by claiming that she begged for it. So going forward, anyone who calls LGBTQ plus people groomers and pedophiles for simply existing in public around kids, they're the ones that we should look into first, because nine times out of 10, they're projecting and they're the ones who are doing what they should say everyone else is doing. But after the tapes were released, well, she was forced to humble herself because what are you going to do? You're going to claim that this was CG or something?  So here's her new statement per The New York Times quote, the past few days have been difficult and humbling. And I'm truly sorry for the unwanted attention my Sunday evening in Denver has brought to the community. Miss Boebert said in a statement Friday night, while none of my actions or words as a private citizen that night were intended to be malicious or meant to cause harm, the reality is they did. And I regret that. Wow, a conservative admitting that they were wrong. But wait for it. Miss Boebert, who can be seen on the video touching and carrying on with her date while sitting in the middle of a crowded theater, blamed what she called her public and difficult divorce for her behavior and said, I simply fell short of my values on Sunday. Oh, is that so? Miss Boebert, a mother of four boys who likes to show off pictures of her new grandchild to colleagues in Congress, said she genuinely did not recall vaping that evening.  When she told her campaign to issue a statement denying she had done so, she said she would have to work hard to earn back trust from voters in her district. Yeah. But I mean, Bobo, there's nothing to be sorry about. I'm sure that plenty of people deal with difficult divorces by jerking off their partners in public. So I mean, perfectly understandable, perfectly normal response, very reasonable.  I swear to God. Now, her excuse for lying. I just, I can't get over this is that she quote unquote, genuinely did not recall vaping. That's what we're going with. Really?  Just say, look, I lied because I was really embarrassed. I was humiliated and, you know, wasn't my best moment. So that's why I said I didn't vape when I did, but she can't help herself. No, I genuinely did not recall vaping. I just, what do you say about these folks, right? Now, this story is surprising, not in the sense that Lauren Boebert acted like a trashy buffoon in public because that we all expect from her. But it's surprising in the sense that she may have actually, believe it or not, done something that is indefensible to conservatives because conservatives aren't just not coming to her defense here. But to the contrary, they're dragging her, specifically conservative women who are also Christian who thinks that her behavior, her antics, they're making the entire movement look bad. For example, Megan McCain wrote on Twitter, Lauren Boebert is trash.  This is family values. This is why people think the GOP are all hypocrites, correct. Ann Coulter chimed in saying that she is a totally embarrassing bimbo. Also indicted former Attorney Jenna Ellis called her behavior embarrassing and disrespectful and added, good grief Republicans do better. Congress shouldn't be a frat house anymore than it should be a retirement community. And she also pointed out the hypocrisy of Boebert tweeting, to take your children to church, not drag bars. When the man she groped is the owner of a gay friendly bar that also hosts drag shows, which is true by the way. So by her own logic, I guess she was giving a handjob to a groomer. I wonder if she allows him around her children. Also, Ellis made the point that this behavior is bad because conservatives like Boebert and Noem claim to be Christians yet aren't behaving as such. And that's true. And a reference to revelations that self-proclaimed Christian and South Dakota Governor Kristi Noem has been having an extra marital affair with Corey Lewandowski since 2019. And that's a really good point. So if you're serious about Christianity and quote unquote family values, then ask yourself why these people always turn out to be hypocrites. Do a little bit of introspection and try to understand why these people make you all look so bad before you try to impose your will on everyone else. Because maybe you should get your own house in order first and live by your principles. Have people in your movement live by the principles that you espouse before trying to force everyone else to align with your Christian nationalist views. But back to the response here. I actually never thought that I would say this and it makes me feel a little bit uncomfortable admitting this, but Megan McCain and Coulter and Jenna Ellis are all 100% correct simultaneously. Very, very weird world that we're living in here. But since Lauren Boebert is one of the loudest crusaders against LGBTQ grooming, I mean it really demonstrates that these people, they have no values. They never cared about anything but demonizing queer people. And for those who've been paying attention, this isn't surprising, right? And the problem is that she's already on thin ice with her constituents, but this is probably going to make things a lot worse. Because in August poll by Keating Research found that she is narrowly trailing her Democratic opponent Adam Frisch and to make matters even worse, 53% of her own constituents hold a negative view of her compared to 42% view her favorably. I wonder how much that's going to change now that she was caught jerking off her partner in public. Now keep in mind that she won her last election by just 551 votes. So I say, uh, good. Keep it up. Keep exposing yourself, Lauren Boebert, to your constituents, figuratively, not literally, by the way, and continue to act like a buffoon in public because you are digging your own political grave at this point. And I applaud you for it. Keep doing it.


2021 NFL tier list. I don't want to say this out loud. I really don't want to say this out loud But this is assuming there's a 2021 NFL season. Ah, I don't want to jinx myself, but that's really sad to think about Hey, let's hope for the best vaccine inbound so last year I made one for the 2020 NFL season My absolute biggest L that I took was I had the 49ers in C tier now granted nobody I don't know who really thought the 49ers would be that good other than like diehard 49ers fans, but I was totally wrong I was totally wrong. I get it. Okay. Let's start this tier list with the obvious S tier teams Okay, Kansas City Chiefs. Well, it's more Ravens. I don't have to explain those. Those are cash money S tier teams No question next S tier teams saints saints are always good always good Michael Thomas should not be 99 overall. He's so overrated, but the saints are a good team 49ers I won't make this mistake but I also want to make sure I try to give explanations for the ones that need an explanation Because in my video when I put 49ers in C tier last year, I didn't say shit about it like no commentary I just dragged them. I was like 49ers C tier just put them there I don't want to make that mistake twice. So for these ones these teams are obviously for the best No doubt in my mind.  Bill's defense is nasty. Josh Allen may be the greatest of all time. All right That's not true at all, but bills are really good. Seahawks added Joel Adams But their defense last year was still atrocious Russell Wilson is only getting older and they trade away all those picks Now I know those picks don't affect them in this upcoming year, but I I can't put the seahawks as S tier I'm going to keep them at 18 Detroit Lions. This is our year. I know for a fact. This is our year Matthew Stafford's one of the greatest quarterbacks ever play Kenny golliday best deep threat wide receiving the league behind Julio Jones Defensively, we've got a couple guys offensively We've also got a couple guys the andre swift just picked them up tj. Hockin socks jeff rio cuda All right, fine. All right, fine. I'll put them where they're fucking. I get it It will never be our year. I'll keep them in D tier where they belong Also huge thanks to raycon for continuing to sponsor my videos raycon makes premium wireless earbuds. They're awesome They sound amazing Well, my personal favorite part is they are half the cost of the premium wireless earbuds You're used to seeing celebrities like snoop dog might Tyson jr. Smith. They all use them for me personally It's my gym earbud all the time stays my ear so well. It sounds so good. 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Joe burrow will pull the Bengals out of D tier and into C tier dude dolphins also Dolphins like you feel like they should be D tier, but they made some serious pickups They picked up some steam at the end of last season and they got to uh, I'm going C tier for the dolphins as well That was cowboys that was cowboys like their average rating is b tier But what they're actually going to be I talked about this on stream one is s tier or d tier cowboys are not going to play Average they're going to play either super good or super bad So technically they shouldn't be in any of these but their average out at b tier That's my take on that Tampa Bay buccaneers. Here's one Okay, every I feel like people that I keep talking they want to put the buccaneers in a and s tier get the Go away go away.  Tom brady is the greatest of all time But he is well out of his prime buccaneers b tier sorry Tennessee titans a tier gotta stop disrespecting the titans excellent team derek henry savage tana hill. I don't think they're gonna I don't think they're ever gonna get a super bowl with tana hill at qb, but uh from from iran. I love to see Green Bay Packers are a tier. I hate to say Always a tier. They're so good. Aaron Rodgers. It's just insane. Aaron Rodgers is insane. I I have respect I hate him kills my lions twice a year every year, but solid team bears are b tier. Ah, no get a qb God get a qb who's not named mid shubisk, and then we can talk Uh, I'm pointing Patriots b tier. They lost a lot.  So i'm going a tier on the eagles Colts also dude marlin mac everybody on the colts team is playing so well Clearly don't need injure luck injure luck is a huge huge huge part of that team was a huge part of that team But I think they're gonna be good.  Juju had a really off here last year Same thing with odell beckham jr. I almost want to put the browns and c tier But the browns are a lot better than the bangles and the dolphins so I have to put him b tier My other bold one Texans a tier to Sean Watson can carry this team I want Texans a tier that one's sketchy. I know but I just love to Sean Watson, dude I love to Sean Watson so much. I want to see him lead the Texans to a minimum of 10 wins If I have a team in a tier it's because I think they're gonna get at least 10 wins this season And all of those teams I feel confident on every team in b tier I feel confident in about seven or eight wins c tier is five or six and d tier Or my lions are the only team in that so it's pretty depressing rams are b tier They're only getting worse though. I wouldn't be surprised if they're c tier or next year They're c tier vikings are in the same league as the bears. Just not incredible actually, you know what but I'm sorry joe burrow But if I'm putting the vikings in the bears and c tier, I have to put the bangles in d tier I just and I'm probably gonna have to move the dolphins down too, but uh, uh, I gotta do it I'm sorry. I started out too hot with the bangles in the dolphins. I gotta knock them down a notch They are on the lions level. I feel confident in the lions beating both the dolphins and the bangles actually so Cardinals, uh, c tier falcons c tier raiders c tier falcons I don't know what it is of falcons.  They need they got Tyler Murray They got Taylor jones. They got the hub, but dude, what does it matter? I always make this argument. Who cares if you get a really good wide receiver It didn't do shit for the browns browns had Odell at Jarvis Landry So I don't care that the cardinals got de hop that's not going to make their overall team better. I don't think Is this called the washington?  It's d tier. I don't care if they're the best team in the league They're gonna be d tier in my eyes.  Is that real? It's really called the washington football.  I would want to god uh jets jets literally lost Adams Sorry, you're 100 d tier no question about and the rest of the teams honestly have no chance in my eyes Jaguars are so bad now jaguars went from this absolutely electric defense to horrible I feel obligated to make one of these teams c tier, but I don't think any of them are c tier They don't the jaguars are horrible. I think the giants are horrible. I think the panthers are horrible I'm gonna keep all of these here I honestly feel confident that that is the one two three four five six seven that is the eight worst teams in the league That's the eight worst teams in the league right there. Absolutely. Dude. I get it daniel jones. Good.   Who is your quarter? Is it kyle allen? Because if it's kyle allen, you're gonna win four games next season jaguars Actually, I feel bad saying that about the jaguars. They got minchomania, but that whole team is just bad Lost your best player bangles trash jets lost their best player. Dolphins are horrible. Washington football team L gigantic L with your name. Detroit lions. I get it. I know. I've been here. I've been a fan long enough to know their d tier I've been really good about this. I'm really excited to come back to this in a year. Assuming the season goes on I'm really excited to come back to this in a year and see what my absolute worst take was It's always fun to look and see what the absolute biggest thing I do stuff was so I'm excited to see that I know you're gonna be mad in the comments.   Cowboys fans. Tell me how they should be s tier Come on. Come on. Tell me. Tell me how tell me how tell me how marie cooper's gonna carry Tell me how that press guy's gonna carry you to a super bowl in the comments. Come on. That's it for today's video Thanks for watching as always enjoy peace out


Live from Munich, Germany. It's theCUBE. Covering DataWorks Summit Europe 2017. Brought to you by Hortonworks. Hey, welcome back everyone. We're here live in Munich, Germany for DataWorks 2017 Summit. I'm John Furrier with my co-host, Dave Vellante, with theCUBE and our next two guests is John Thomas, both behead of customer development, EMEA for Alation. Welcome to theCUBE and we have Bertrand Karyu who's the director solution marketing at Tri-Fecta and partners. Guys, welcome to theCUBE. Thank you for having us. Big fans of both your startups and growing. You guys are doing great. We had your CEO on our big data SV, Joe Hellerstein talking about the wrangling, all the cool stuff that's going on. And Alation, Stephanie's been on many times. But you guys are startups that are doing very well and growing in this ecosystem. And everyone's going public, Cloud Air has filed their S1, great news for those guys. So the data world has changed beyond Hadoop. You're seeing it, obviously Hadoop is not dead, but it's still going to be a critical component of a larger ecosystem that's developing. You guys are part of that. So I want to get your thoughts of why you're here in Europe, okay? And how you guys are working together to take data to the next level because we're hearing more and more, data is a foundational conversation starter. Because now there's other things happening. IoT and business analysts, you guys are in the heart of it, your thoughts. Maybe I'll leave, yeah. So definitely at Alation, what we're seeing is more and more people across the organization want to get access to the data. And we're kind of breaking out of the traditional roles around just IT managing both metadata, data preparation, like Trifac is focused on. So we're pretty squarely focused on how do we bring that access to a wider range of people? How do we enable that social and collaborative approach to working with that data? Whether it's in a data lake, so if we're here at DataWorks, really that's one of the main topics, but also other data sources in the organization. So you're freeing the data, the whole collaboration thing is more of, okay, don't just look at IT as this black box of give me some data and they spit out some data. That's the old way. The new way is, okay, all the data's out there they're doing their thing, but the collaboration is for the user to get into that data ingestion, playing with the data, using the data, shaping the data, developing with the data, whatever they're doing, right? It's just bringing transparency to not only what IT's doing and making that accessible to users, but also helping users collaborate across different silos within an organization. So we look at things like logs to understand who is doing what with the data. So if I'm working in one group, I can find out that somebody in a completely different group in the organization is working with similar data, bringing new techniques to their analysis and can start leveraging that and have a conversation that others can learn from too. So basically it's like a discovery platform just saying, hey, you know, Mary in department X has got these models, I can leverage that. Is that kind of what you guys are talking about? Definitely. I'm breaking through that, enabling communication across the different levels of the organization and teaching other people at all different levels of maturity within the company, how they can start interacting with data and giving them the tools to upscale throughout that process. We're trying to talk about the trifactic. It's one of the things that I find exciting about your value proposition and talking to Joe, this founder, besides the fact that they all have GitHub on their About page, which is the coolest thing ever, because they're all developers. But the more reality is that a business person or person dealing with data in some part of the geography could be whether it's in Europe or in the US, might have a completely different view and interest in data than someone in another area. It could be sales data, it could be retail data. It doesn't matter, it's never going to be the same schema. So the issue is, got to take that away from the user complexity. That is really fundamental change. Yeah, you're totally correct in the way. So information is there, it is available, Alation helps identify what is the right information that can be used. So if I'm in marketing, I could reuse sales information associated maybe with web logs information. Alation will give me the opportunity to know what information is available. And if I can trust it, if someone in finance is using that information, I can trust the data. So now as a user, I want to take that data, maybe combine the data, and the data is always different formats, structure, level of quality. And the work of data wrangling is really for the end user. You can be an analyst. Someone in the line of business most of the time, these could be like some of the customers we are here in Germany like Munich three would be actuaries building risk models and or claim for casting, payment for casting. So there are not technologies at all, but they need to combine these data sets by themselves and at scale. And the work they're doing, they're producing new information and this information is used directly to their own business. But as soon as they share this information back to the data lake, the inhalation will index this information, see how it is used, and put it to this visibility to the over user for reuse as well. So do you guys have a partnership or just more of a standard API kind of thing? So we do have a partnership. We have planned development on the roadmap which is currently happening. So I think by the end of the quarter of Q2 we're going to be delivering a new integration where whether I'm inhalation and looking for data and finding something that I want to work with I know needs to be prepared. I can quickly jump into trifacta to do that or the other way around and trifacta if I'm looking for data to prepare. I can open the catalog, quickly find out what exists and how to work with it. So basically the relationship, if I get this right, is you guys pass on your expertise of the data wrangling and all the back processes you guys have and advertise that into inhalation. They discover it, make it surfaceable for the social collaboration or the business collaboration. Exactly. And when the data is wrangled, it's again indexed. And so it's a virtual circle where all the data that is traded and combined is exposed to the user to be reused. So yeah. So if I were a chief data officer, I'd say okay there's three sequential things that I need to do and you can maybe help me with a couple of them. So the first one is I need to understand how data contributes to the monetization of my company if I'm a public company or a for-profit company. That's I guess my challenge. But then the other two things are I need to give people access to that data and I need quality. So I presume Alation can help me understand what data is available. I can actually, it kind of helps with number one as well because I can say okay, this is the type of data, this is how the business process works. Feed it. And then the access piece and the quality, I guess the quality is really where trifecta comes in. Yep. What about that sequential flow that I just described? Is that common in your business, your customer base? It's definitely very common. So kind of going back to the Munich reexamples since we're here in Munich, they're very focused on providing better services around risk reduction for their customers. Data that can impact that risk can be of all kinds from all different places. You have to think five, 10 years ahead where we are now to see where it might be coming from. So you're gonna have a ton of data going into the data lake. Just because you have a lot of data that does not mean that people will know how to work with it. They won't know that it exists. And especially since the volumes are so high, it doesn't mean it's all coming in in a greatly usable format. So Alation comes into play in helping you find not only what exists by automating that process of extraction, but also looking at what data people are actually using. So going back to your point of how do I know what data is driving value for the organization? If you can tell you, in this schema, this is what's actually being used the most, that's a pretty good starting point to focus in on what is driving value. And when you do find something, then you can move over to the fact that to prepare it and get it ready for an organization. So okay, so keying on that for a second. So in the example of Munich Re, the value there is my reduction in expected loss. I'm going to reduce my risk. That puts money in my bottom line. Okay, so you can help me with number one. And then take that Munich Re example into trifacta. Yeah, so the user will be the same user using Alation and trifacta. So it's an actuary. As soon as the actuary identified the data that is the most relevant for what you'll be planning. So the actuaries are working with terms like development triangles over 20 years. And usually it's colon by colon. So they have to pivot the data row by row. They have to associate that with the paid claims, the new claims coming in. So all this information is different from that. Then they have to look at maybe whether information or additional third party information where the level of quality is not well known. So they're bringing data in the leg that is not yet known. And they're combining all this data. The outcome of that work, that helps in their risk modeling. So that could be used by, they can use SAS or R over technology for the risk modeling. But when they've done that modeling and building these new data sets, they're again available to the community because Alation would index that information and explain how it is used. Other things that we've seen with our users is there's also a very strong, like if you think about insurances, banks, pharma companies, there's a lot of regulation. So as a user, if you are creating new data set, where the data is coming from, where the data is going, how is it using the company? So we are capturing all that information. Trifecta would have the rules to transform the data. Alation will see the overall high level picture from Tableau to the source system where the data is coming from. So super important as well for auditing. And just one follow-up, in that example, the actuary, I know hardcore data scientists hate this term, but the actuary is the citizen data scientist, is that right? Yeah, actuaries would know, I would say, statistics, usually. But you've got multiple levels of actuaries. You've got many actuaries, they're Excel users. They have to prepare data. They have to clean up, structure the data to give it to a next actuary that will be doing the pricing model or the next actuary that would be the risk modeling. You guys are hitting on a great formula which is cutting edge, which is why you guys are on the startups. But Bertrand, I want you to talk to you about your experience at Informatica. You were the founder of Informatica France and you're also involved in some product development in the old days, but back in the days when structured data and enterprise data, which was actually a hard problem, dealing with metadata, dealing with search, you had schemas, all kinds of stuff to deal with. It was very difficult. You have expertise. I want you to talk about what's different now in this environment because it's still challenging, but now the world has got so much fast data. It's got so much new IoT data, especially here in Europe where you have an industrialized focus, certainly Germany in case in point, but it's pretty smart mobility going on in Europe. You've always had that mobile environment. You've got smart cities, a lot of focus on data. What's the new world like now? How do people are dealing with this? What's your perspective? Yeah, so there's, and we all know about the big data and with all these additional volume and new structure of data. And I would say legacy technology can deal, as you mentioned, with well-structured information. And also you want to give that information to the masses because the people who know the data best are the business people. They know what to do with the data, but the access to this data is pretty complicated. So where trifacta is really differentiating and has been thinking through that is to say, whatever the structure of the data, IOT, so web blogs, value per JSON, XML, we know that should be for an end user, just a metrics, a table, but that's the way you understand data. The next thing when you play with data, usually you don't know what the schema would be at the end because you don't know what the outcome is. So you are, as an end user, you are exploring the data, combining data set, and the structure is trading as you discover the data. So that is also something new compared to the old model where an end user would go to the data engineer to say, I need that information, can you give me that information? And engineers would look at that and say, okay, we can access here, what is the schema? There was like all these back and forth. There was so much friction in the old way because the creativity of the user is independent now of all that scaffolding and all the wrangling, pre-processing. So I get that piece of the citizen journal, citizen analyst, but the key thing here is that you're extracting way to complexity, way to get the job done. So the question then comes in, and because it's interesting, all the Latine here at DataWorks Summit in Europe and in the US is, all the big transformative conversations are starting with business people. So it's the business units or the front lines, if you will, not IT. Although IT's got to now support that. So if that's the case, the world's shifting to the business owners, hence your start-ups. Is that kind of getting that right? I think so. And I think that's also where we're kind of positioning ourselves, which is you have Data Lake, you can put tons of data in it, but if you don't find an easy way to make that accessible to a business user, you're not going to get the value out of it. It's just going to become a storage place. So really what we focused on is how do you make that layer easily accessible? How do you share around and bring some of the common business practices to that and make sure that they're communicating with IT. IT shouldn't actually be kind of cast aside, but they should have an ongoing relationship with the business user. By the way, I'll point out that Dave knows I don't really, I'm not a big fan of the Data Lake concept. Mainly because they've turned it into data swamps, because IT deploys it. We're done. Check the box. Data's in there. But the data's getting stale because it's not being leveraged. You're not impacting the data or making it addressable or discoverable or even wrangle-able. But that's a word. But I mean, my point is that that's all complexities. Yeah, so we call it also the frozen Data Lake. You build a lake and then it's frozen and nobody can come fishing. You play hockey on it.  And you need to have this collaboration ongoing with the IT people because they own the infrastructure. They can feed the lake with data, with the business. If there's no collaboration, and we've seen that multiple times, Data Lake initiatives, and then we come back one year after there's no one using the lake, like one, two percent of the processing power or the data is used. Nobody is going to the lake. So you need to index the data, catalog the data to know what is available. And the psychology for IT is important here. I was talking yesterday with IBM folks at the party here, but this is important because IT is not necessarily in a position of doing it because, doing the frozen lake or Data Swamp because they want to screw over the business people. They just do their job. But here, you're empowering them because you guys got some tech that's enabling IT to do a Data Lake or data environment that allows them to kind of free up the hassles, but more importantly, satisfy the business customer. So you know what I'm saying? So there's a lot of tech involved and certainly we've talked to you guys about that. Talk about that dynamic of the psychology because that's what IT wants. It's almost a DevOps mindset for data ops, if you will, or data as code, if you will, is what concept we've been calling it. But that's now the cloud ethos hits the data ethos kind of coming together. Yeah, so I think data catalogs are certainly different in that traditionally they are more of an IT function, to some extent, on the metadata side, whereas on the business side, it tended to be a siloed organization of information that the business itself kept to maintain very manually. So we've tried to bring that together. All the different parties within this process, from the IT side to the governance stewardship all the way down to the analysts and data scientists can get value out of a data catalog and can help each other out throughout that process. So if it's communicating to end users, what kind of impact any change IT will make, that makes their life easier and have one way to communicate that out and see what's going to happen. But also understand what the business is doing for governance or stewardship. You can't really govern or curate if you don't know what exists and what matters to the business itself. So bringing those different stages together, helping them help each other is really what Alation does. Talk about the prospects that you guys are engaging from a customer standpoint. What are some of the conversations of those customers you haven't gotten yet together and also give an example of a customers that you guys have and use cases where they've been successful? Absolutely. So typically what we see is that an organization is starting up a data lake or they already have legacy data warehouses. Often it's both together and they just need a unified way of making information about those environments available to end users and they want to have a better relationship. So we're often seeing IT engaged in trying to develop that relationship along with the business. So that's typically how we start and we in the process of deploying kind of work into that conversation of now that you know what exists, you know what you might want to work with, you're often going to have to do some level of preparation or transformation and that's what makes Trifact a really great fit for us as a partner. They kind of come into that next step. Yeah, on the, like market share, one of our common customer, we have BNSF, also common customer, eBay, common customer. So we've got already mobile customer and so some information about the issue market share. They have to deal with their customer information. So the first thing they receive is data, digital information about ads and so it's really marketing type of data. They have to assess the quality of the data. They have to understand what values and combine the value with their existing data to provide back analytics to their customer. And in that use case, we were talking to the business users, like people selling market share to their customers because the fastest they can onboard their data, they can qualify the quality of the data, the easiest it is to deliver right level of quality analytics and also to engage more customers. So it was really to be fast onboarding customer data and deliver analytics. And where Alation is playing is that they can then analyze all the SQL statement that the customers are, maybe I'll let you talk about the use case, but there's also, it was the same users looking at the same information. So we engage with the business users. Exactly. So I wonder if we could talk about the different roles. You hear about the data scientist, obviously, the data engineer, there might be a quality, data quality professional involved. There's certainly the application developer. These guys may not even be in IT, then you got a DBA, then you may have somebody who's sort of a statistician, they might sit in the line of business. Is this, am I over complicating it? Do larger organizations have these different roles and how do you help bring them together? I'd say that those roles are still in flux in the industry.  I think there's a lot of movement happening and it's not a consistent definition of those different roles. So I think it comes down to different functions and sometimes you find those functions happening within different places in the company. So stewardship and governance may happen on the IT side or it might happen on the business side and it's almost a maturity scale of how involved the two sides are within that. So we kind of play with all of those different groups. So it's sometimes hard to narrow down exactly who it is. But generally it's on the consumption side whether it's the analysts or data scientists and there's definitely crossover between the two groups. Moving up towards the governance and stewardship that wants to enable those users or document and curate the data for them all the way up to the IT data. Engineers that operationalize a lot of the work that the data scientists and analysts might be hypothesizing and working with in their research.  So we sell both to the analytics groups as well as governance and they often kind of merge together. We tend to talk to all of those constituencies throughout a sales cycle. And how prominent in your customer base do you see the role of the chief data officer? Is it only confined within sort of regulated industries? You're seeing seep into non-regulated industries? I'd say for us, it seems it's non-regulated industries too. One percent of the customers, for instance, have this anecdotally, not even customers, just people that you talk to have a chief data officer, formal chief data officer. I'd say probably about 60, 70% of them. That high, okay. Yeah, same for us. Inregulated industries but also over. I think they play a role very often in chief data and analytic officers. It's data and analytics. So they have to look at governance. Governance could be for regulation because you've got governance policy. Which data can be combined with which data? There's a lot and you need to have that. But then it's, even if you're less regulated, you need to know what data is available and what data is trustworthy. So you have this requirement as well. We see them a lot. They are more and more powerful, I would say, than the implies when they're able to collaborate with the business to enable the business. Thanks so much for coming on theCUBE. Really appreciate it. Congratulations on your partnership. Final word I'll give you guys before we end the segment is share a story. Obviously you guys have a unique partnership. You've been in the business for a while, breaking into the business with elation. Hot startups. What observations out there that people should know about that might not be known in this data world? Obviously there's a lot of false premises out there on what the industry may or may not be, but there's a lot of certainly a sea change happening. You see AI gets a mental model for people, machine learning, autonomous vehicles, smart cities, some amazing kind of magical things going on. But for the basic business out there, they're struggling and there's a lot of opportunities if they get it right. What thing, observation, data, pattern you're seeing that people should know about that may not be known. Could be something anecdotal or something specific. You go first. So maybe that would be surprising that Kaiser is a big customer of us. And you know Kaiser in California and the US are big. They have hundreds of thousands of hospitals. And surprisingly, some of the supply chain people where I've been working for years trying to analyze optimizing the relationship with their suppliers. So typically they would buy a staple gun without staples. Stupid. But they see that happening over and over with many products. They were never able to solve it because why? That would be one product, they have to go to IT, they have to work, it would take two months and then there's another supplier, new product. So how to know which are- They're chasing their tail. Yeah, but okay, so that would be, it's not like super excited, but they are now to do that in couple of hours. So for them, they are able by going to the data, like see what data, see how this hospital is buying. They were not able to do it. So there's nothing magical here. It's just giving access to the data, we know the data best, the analysis. So your point is don't underestimate the innovations as small as it may seem or inconsequential could have huge impact. Yeah, the innovation goes with the process to be more efficient with the data, not so much building new products. It's just basically being good at what you do. So then you can focus on the value you bring to the company. John Thomas, what's your thoughts? So sort of related, I would actually say that something we've seen pretty often is companies all sizes are all struggling with very similar problems in the data space specifically. So it's not a big companies have it all figured out. Small companies are behind trying to catch up and small companies aren't necessarily super agile and aren't able to change in the top of the hat. So it's a journey. It's a journey and it's understanding what your problems are with the data in the company and it's about figuring out what works best for your solution or for your problems and understanding how that impacts everyone in the business. So it's really a learning process to understand what's going to. What are your friends who aren't in the tech business say to you, hey, what's this data thing? How do you explain it? The fundamental shift, what do you say to them? So I'm more and more getting people that already have an idea of what this data thing is, which five years ago was not the case. Five years ago, it was, oh, what's data? Tell me more about that. Why do you need to know about what's in these databases? Now they actually get why that's important. So it's becoming a concept that everyone understands. Now it's just a matter of kind of moving into practice and how that actually works. Operationalizing it, all the things you're talking about. Guys, thanks so much for bringing the insights. We wrangled it here on theCUBE live. Congratulations on trifecta and elation. Great startups, you guys are doing great. Good to see you guys successful again. Rising tide floats all boats in this open source world we're living in and we're bringing you more coverage here. At DataWorks 2017, I'm John Furrier with Dave Vellante. Stay with us, more great content coming after this short break.


AMC's new Who Wants to be a Millionaire mini-series quiz, they released Episode 1 last night on AMC, but if you go to their website they actually released all three episodes already. So quiz is a three episode mini-series that aired in the UK back in April the premise. Quiz tells the story of how Charles Ingram, a former army major in the Royal Engineers, unexpectedly won the 1 million pound jackpot on the quiz show Who Wants to be a Millionaire. In 2001, followed by a criminal trial in which he and his wife were convicted of cheating their way to the success. So like I said, it's now airing on AMC, all three episodes dropped last night. We watched Episode 1 and I thought we could just give our thoughts on the episode.  Yeah, so here's the best comparison I can make, which is probably all three of us. We've all seen an episode of NCIS or Law and Order at some point, or House. Those shows, it's not like the greatest writing ever, it's not the best acting ever. They're kind of forgettable overall, but the strength of the plots within each episode they're designed to hook you in and make you want to keep watching to know what happens next. So I found that this series, its greatest strength was just the true story that it was covering. So the acting wasn't amazing, the writing wasn't amazing. It did have its moments of humor and like some points were actually pretty clever. Overall, the quality wasn't the best, but the story is so interesting that it's very entertaining. It's probably a bit more entertaining than just reading the Wikipedia article about what happened. Right, when you said that last night, I thought that put it the best way you can put it, which is it was marginally more entertaining than going to Wikipedia and just reading the whole story about how these people cheated on who wants to be a millionaire. So, yeah, I want to echo a lot of what you said. Entertaining, pretty interesting, but that's not because it's a great written show or a greatly acted show, but because the underlying story is interesting. It starts with the creation of who wants to be a millionaire. And I found myself wondering why they felt the need to start with that. It was a sort of 20 to 25 minute cramming this story in and it was moving so quickly that I didn't find myself invested in any of the characters. It was more of a, oh, I didn't even realize he wants to be a millionaire started in the UK. Oh, that's interesting. I didn't know it was originally called Cash Mountain. Yeah. But it never elevated beyond, oh, these are some interesting pieces of trivia. There were some attempts at developing the characters, but like I said, it felt so crammed and so overly edited to just try and skip through this story. It felt like for some reason they thought they had to tell the entire story of the creation of who wants to be a millionaire before they got to the interesting part. And like I keep saying, I don't know why they felt like they needed to do that. The most interesting part of the story is these people cheated during who wants to be a millionaire. It feels especially unnecessary given the whole world knows what who wants to be a millionaire is. So I don't know how much context you need. Now, that said, to put this comment into context, we've still only seen that first episode. So maybe if we watch the next two, we'll say, oh, that's why they gave us so much backstory, but I have my doubts. Yes. So far, my thought is the 20 to 30 minutes we spent on the creation of who wants to be a millionaire would have been better invested in developing the characters, developing Charles, his wife and her brother, Diana and Adrian. Because one of the big driving forces of the story is Adrian being severely in debt, and that was very underdeveloped.   For example, the shadowy organization of people who are all teaming up to cheat on who wants to be a millionaire. Some of that's real, but it's played on the show as sort of a joke. So it's kind of hard to take seriously. And that's only further exacerbated by the fact that they're spending so little time with these characters. So I didn't get invested in them. And even for the 20 to 30 minutes where we're seeing the creation of who wants to be a millionaire, so much of it felt just like familiar beats we've seen before. Like this show is a crazy idea. You want to give away a million dollars on TV or are you nuts? Wait a minute, there might actually be something to this. Wow, this could actually work. Just stuff we've seen. Or like after the pilot first airs and then the two guys, the creative minds behind this show go to the guy who needs to put the stamp of approval on it. And they're like, we're so sorry, it could have gone better. We should have done this. We should have done that. We promise. And he goes and he interrupts and he goes, we want to order a week's worth of episodes. It's like, you know, that's what he's going to say. And then you know, he's going to say, you just got to do something about that name. Yeah. At that point, it was still Cash Mountain. Then you have the executives bringing the show's concept to America and the executive from America gets on his hands and knees and thanks them for this amazing show. So, you know what, just one other bone I have to pick with it was they make a point of saying, you got to change that name Cash Mountain. And then they just cut to the next scene. They're redoing the set of the show. And some random guy who's working on the lights is just working on the lights and he just goes, who wants to be a millionaire out of nowhere? Yeah. And they're like, ah, we'll just take the exact song he whistled in the exact words he said and make that the show. Right. And again, if, all right, go ahead. What if that's actually how it happened? Then they should have portrayed it in a more believable way. Yeah. It's it felt like we need to be efficient with the storyline.  We only have 20 minutes to do it. And it's like, guys, take a step back. You don't need to tell us that so you don't need the efficient storytelling of the guys whistling. And that's how they get the idea. Right.  So he looks around him and he sees someone eating a pea and he goes, ah, pea. Then he sees a girl crying and he goes, a tear, then a griffin flies through and goes, Griffin. Yeah, Peter Griffin. That's right. So bottom line, we were pretty hard on the show, but overall, I mean, it was enjoyable. If you're looking for something to watch, you know, you've watched all the shows you're behind on, and you just want to entertain yourself for a couple of hours, it will get the job done. Intriguing. It's intriguing. But honestly, I probably won't stick around for episodes two and three, but I probably will read the Wikipedia and I forget all the details of how they cheated. And the show has at least piqued my interest to revisit that story. Yeah, that's the thing. Also, we we've already seen it was either like a dateline episode or 60 minutes or something years ago that explained this whole thing. So if you already know how they cheated and everything that happened, it takes some of the suspense away. Right. That's right. Well, that's AMC's quiz.


Hello and welcome to the session. In this session we are going to discuss the following question and the question says that in how many years will $2,662 amount to $2,662 at 10% compound interest? The compound interest formula states that amount is equal to e into 1 plus r upon 100 raised to power m. With this key idea, let us proceed with the solution. According to the question, we need to find the time after which $2,662 amounts to $2,662 at 10% compound interest. So here, amount is equal to $2,662. The principal p is equal to $2,000 and the rate of interest r is equal to 10% per annum. As we know, amount is equal to p into 1 plus r upon 100 raised to power n where we need to find the time n and the amount and the principal are given. So $2,662 is equal to $2,000 into 1 plus 10 upon 100 raised to power n which implies $2,662 upon 2000 is equal to 1 plus 1 by 10 raised to power n which implies $2,662 upon 2000 is equal to 10 plus 1 upon 10 raised to power n which is equal to 11 upon 10 raised to power n. Now, $2 times $1,000 is $2,000 and $2 times $1,331 is $2,662. So this implies $1,331 upon 1000 is equal to 11 upon 10 raised to power n. As $1,331 is the cube of 11 and $1,000 is the cube of 10, this implies 11 upon 10 whole cube is equal to 11 upon 10 raised to power n which implies n is equal to 3. Hence, $2,000 will amount to $2,662 in 3 years which is our answer. This completes our session. Hope you enjoyed this session.


Beltrami County deputies have been trying to transition to body cameras for the past three years and in 2018 they were able to advocate to the county board to approve the funding for the cameras. The sheriff says the project will cost between 80 to 90 thousand dollars. The funding will cover the purchase of the cameras for each individual staff member as well as any spares they may need. The sheriff's office says they hope by August all uniform staff will be equipped with a body camera. It's been a long time in making this happen. This is the evolution of law enforcement. We need to be very progressive as we move forward in the implementation of this. I know our deputies are very excited for this to come around and I see nothing but very extremely positive things coming from this. And you can make a public comment and see the body camera implementation timeline on the Beltrami County website. If you enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland PBS.


On most occasions, spectra will include this TMS, trimethylsilane, which is at the zero mark as a standard reference point, so you will sometimes see just a little peak at the zero mark, which is just telling you that the standard has been used. What happens then is the numbers will move away from that zero mark to the left on the x-axis, and the sharp peaks will correspond to particular carbons or hydrogens within the molecule. What we'll know is that every different peak represents a different environment. For carbon, that's easy because it starts to tell us how many different types of carbons there are at an absolute minimum. As I said, two peaks means a minimum of two carbons and potentially more, and the hydrogens will split into those little peak clusters, and those will tell us about how many different hydrogens there are in the neighboring atom. Spectra also help to identify some aspects of the structure of the molecule. They may not always be definitive, and we may again need to use NMR in partnership with other data in order to make exact conclusions, but at least we can get some general ideas. And if all of the carbon environments in a particular molecule were identical, then we may simply have a single peak. So don't forget, the peaks are just telling us about a different type of environment, and if that environment occurs several times in the molecule, it'll still only show us that one peak. So here's another one just for comparative purposes, and you see this time we do have the TMS identified. So again, you can see that there's a peak that's occurring here around the 17-18 mark, and another one that's occurring up here around the 37-38 mark. So we would need to go and have a look at these in order to try and get an idea of what we're actually looking at. One of these is actually corresponding to a carbon environment which contains carbon-hydrogen bonds, and one of these is telling us that there is actually a bond to a halogen present in the molecule. Again, it doesn't tell us if there are other places in this molecule where this occurs. All it is doing is giving us a bit of an idea about how many different types of environments there are. And again, two peaks means we know that there is at least two carbons, two plus carbons, and in this case, there are only the two. So that's sort of telling us about the two different types of environments and the types of bondings that we can see that are present there. To get a little bit more information, we look at the proton NMR, and you'll notice here that we've labeled the hydrogens to give us a little indication about what's going on. Now interestingly enough, if this was ethane rather than chloroethane, then you would notice that that carbon-chlorine bond would disappear. We actually have symmetry then, so each carbon would be bonded to another carbon that's bonded to three hydrogens, and so you would not see one of both of these double peaks in these two outputs. But because of that chlorine is there, that means that we have one carbon where the hydrogens are attached to a neighbor with three hydrogens, and therefore that is going to produce an output with four peaks, so three plus one is four. And of course, the other carbon has a neighbor which has two hydrogens and a chlorine, and the chlorine is not going to be part of this, but the hydrogens will, so therefore if we count the number of hydrogens over here, we have two plus one, which gives us three of these little cluster peaks all together. So that's how we can put this information together. NMR is probably the most complex of the spectroscopy techniques, and I have sped through it, so we've looked at it in very, very broad detail. I know that we can look at some more of these in a little bit more detail, and actually start to get an idea of how we solve some of these problems in more examples in class. So thanks for watching.