All right, everybody. So listen, welcome. I'm glad everyone's here today at 12 o'clock because this is our open house. We're gonna introduce you to CyberTrade University. We're gonna teach you how to play today's markets. And I actually have a really good stock I wanna bring up right now and show you that we've been trading. These are the things we're gonna be teaching you right here. The stock right here is Ucar. And you can see Ucar just had a great run up right around 10, 10 right here. This stock ran from $5.00. In a matter of 10, 15 minutes all the way up to about $9.00 and it backed off a little bit around eight and now it's making another big run. I want to introduce you to my cybergroup room. You could see my staff right now is mentoring and coaching these people in the trades. If I go back and if I show you the chat right here you could see us how we're bringing up prints at $8.00. And we can go back. Just wanna show you this. You can go back 10.30. Here's Fausta right here. Here it is. You could see right here it says we are in Ucar in our phase three class at 5.52. And you can see where it is right now. These are the things we're gonna be teaching you. And most importantly I'm gonna teach you one of the biggest secrets here on Wall Street is how to follow the money. Seeing these big iceberg orders at $9.00. Big ones at 34,000 shares at $10.00. How they go up, how they go down. This is what's gonna teach you how to be a good trader and this is why you're here today.  I never seen a stock up 100%. Well, is it 100? I think it's more than that actually. I apologize. 200, sorry about it, 212%. How did you find that fast though? Where did, what made you think it go up? How do your traders know it? How did you know it was running at five? Why does it continue to go higher? This is what mistakes you're making instead of going out there and looking at it and saying, oh, let's go check out Apple today and go tie up almost $200. Oh, let's go. Well, I can't afford the two of the options. This is where people make their mistakes. So let's go in it. Let me teach you how to follow the money because now it's gonna be talking about not about the past, but I'm gonna teach you how to read the future. And that is pretty cool. So let's talk about how they hide all these markets and everything. But before we get started, just really quick little risk disclosure for everyone here. I'm not making any guarantees or promises or warranties at this work. A lot of traders are obviously case by case basis. It's what you put in is what you get out of it. So I am only here specifically for educational purposes, okay? And that is it. So please learn more about our disclosure. These are our website and you can learn more about that. Now this is what I'm gonna be doing moving forward. I'm gonna invite every single one of you to come into my trading room. Now, just out of curiosity, is anyone affiliated with any trading room right now? Anyone affiliated when trading with anybody, just give me a yes or no. Lori, I see you talking. Ken, Henry, Frank, I didn't hear from you. Gary, anyone here trading with a group or been in a professional trading room? Okay, well, that's good. If you're not, because you're gonna see what it's like because maybe you wanna realize it's time to stop trading on your own, okay? Because you gotta trade with a team. So every one of you, I'm gonna give you access to the trading room, okay? In my trading room for a week.  But before I waste anybody's time, which I don't wanna do, let me teach you our strategy and we'll go from there, okay? So these are the things that we're gonna talk about. We're gonna talk about how CTU recently will kind of like help you find these stocks. We're gonna talk about how to have the good platforms. We're also gonna talk about the best time and worst times to trade. We're also gonna talk about how to scan the market, how to find these things. And most importantly, what drives them up? Who's driving them up? The algorithms, the dark pools, the iceberg orders, all that cool stuff, all right? Now, what I want you all to do is just keep an eye, remember the stock UCAR. Does anyone have a execution system with them up and running right now? Cause I want you to keep an eye on this stock. I want to keep an eye on it because since we started stocks at 10, right now it's at 11, okay? And you're probably wondering what the hell's going on with this stock, okay? I'll bring it up and I'll show you really quick right here. Got it right now. It's still going higher. Is that right there? Look at that. Since we started, it was at 10, right? We started at 12 o'clock. Look where it is now. It's at 11. You bought a thousand shares of that stock. Since we started, you just made yourself enough money to probably pay a whole year subscription at Cybertree University, okay? But you still don't know why it's going up. So I'm going to teach you how that works. But before I do that, let me tell you a little bit about myself because have any of you ever been in a webinar and listened to other mentors or gurus? Just give me a quick yes or no. Anyone ever been there and listened to it? Can you have? Okay. Either way, nobody can read anybody's chat. Just let everybody know. So just out of curiosity, who did you guys, who did you actually, whose classes have you seen? Just want to kind of know where your experience comes. Okay. Keith, very familiar with him. Anyone else? Mike, I'm familiar with him. Okay. Brent, I don't know who that person is. Okay. Anyone else? Listen, traders, don't be shy. We got almost 100 people in this room. Don't be embarrassed. Don't be scared. No one's going to pick on you. No one's going to embarrass you and don't make me feel like I'm wasting my time. Okay. Tasty trade. Okay. Very good. Tom Sasano, good friend of mine. Good. Good. All right. So the way I got started, I was a market maker. Okay. And basically that's what I did. I was a market maker and I was a very good trader.   I figure I could trade on my own. Maybe some of you probably did the same thing.  I could probably learn this on YouTube. I could probably learn reading and have a book and stuff like that. And you probably realize it like, you know what? It's not about making money. It's my problem. My problem is I don't know how to stop losing money. I don't know how to take losses. And you know, it only takes one trade to blow up your account. So, fortunately, living in New York, I learned by some of the best traders in the world. And my traders basically, let me tell you, when I stepped in the trading room, I should have never, never made my first trade. And you know who I have to thank for that is my parents because my parents are first generation Italian here. They came to this country and they say, listen, this is the country for opportunity. You wanna go out there and you wanna be good at something, go learn from people that are very good at it, okay?  It's not gonna work out too well and let me know how that has been working out for you because that's what my dad said. You know what I mean? Because he wasn't successful if he didn't learn from people that were very successful at it. Listen, you hang out with troublemakers, you become a troublemaker. You hang out with rich people, you become rich. That's how it really comes down to it. So over the years, I was 12-time champion at the Traders Expos. I've trained hundreds of thousands of people around the world. I've changed people's lives. I love what I do. I got a five-star rating on Google, which is unheard of. We're endorsed by every brokerage firm from Thinkorswim, Trade Station, I mean Schwa, all of them go down the list. I'm just giving the big brand names, but like just goes down the list because what we do is we teach you NASDAQ for example. We teach you how to go out there and how to play the game of trading. And that's everybody's biggest issue. Listen, if you're here to learn and here to get picks, I'm not the person for you. If you're here for someone to tell you where to get in and out, which is illegal, I'm not the person for you.  So I just wanna do a quick little poll really quick, all right? So I just wanna know what kind of trader is everyone here? So I'm gonna do a quick poll. So everybody just tell me, are you a stock trader, options trader, futures, forex? Let's just see how everybody answers this question. So if you're embarrassed to put it in the chat, we'll go out there and just do a quick poll. Oh, now finally everybody's answering. Okay, good. I feel a little better now. All right, just about another couple of seconds and I'll share it. All right, so let me share the results. So it looks like we have a lot of stock traders, but one thing that concerns me is this. It looks like half of you are options traders. Listen, options are great. I train a lot of options traders, but let me just tell you something. Who's more wealthy? The person that owns the house or the person that rents the house? Well, I guess you could read between the lines. You wanna be a good options trader, you damn well better learn how to trade a stock first and be good at it because the movement of the stock that makes an option move, okay?  I'm an actual day trader because I love to just get in and out of stocks. You could see right here from the pie chart, it's just basically, it's almost like to the tee, futures, crypto, forex options and stocks, but you gotta be a good stock trader. But I like stocks. Listen, I turn the TV, they talk about the stock market, they don't talk about options, not that I'm against it, it's just that you gotta wanna trade the stocks to be good at those options. So let's talk about a couple of stocks. AI, big run up 35%, even today stock got beat up with earnings from yesterday, big run up, then the market ran out. Big gain stock, you could see how they just go up from like, and this is only in one day, it goes from 28 to 33. Now, some of you might think, is it too late to jump in these stocks? I mean, I just brought up Eucar, I'm bringing up AI. There's so many of them out there, right? Well, listen, the better question is this. Are you ready to finally learn how to follow orders? Which means follow the big money, because remember one thing, it doesn't matter what you think, it's what the street thinks. It matters where 70% of the volume. Now, my question to everybody is this, how much smarter and better trading decisions would you make right now if I was able to teach you within the next couple of minutes, how to follow 70% of every buyer and seller out there? How, I mean, think about that for a second. I'm gonna, how much better and smarter trades would you make if you knew where 70% of the orders? What's that worth to you? A lot, Joan, okay, anyone else? Thriceless, what about you, Lori? What about you, author? Craig, I didn't hear from you. What's it worth to you? I mean, do you think you know more money? Do you think you know more than 70% of the orders that are out there, okay?  Thank you very much. Listen, don't make me feel alone. I love to hear from your voices, okay? Let me ask you this, would you pay, when I got started, it cost me about $1,000 a month. Does that sound like a lot of money to see where 70% of the volume is if I was able to teach you that? It does sound like a lot, right? Yeah, it does sound like a lot, but listen, if you're looking for a six-figure salary, part of doing business, so 22 years old, I took a shot and kind of worked that well for me. For some of you here, you might be like, that sounds like a lot. How about 500? Does that still sound like a lot to see where 70% of the volume is? Still sounds like a lot, right? How about if it cost you $100? Is it worth $100 to see where 70%? Now some people are saying, no, that's a lot, it's worth $100. How about this, how about if it cost you $9? Would you pay $9 right now to see where 70% of the buyers and sellers are? Oh, now we're getting tons of yeses. Guess what, you're in the right place, okay? So let me tell you what we're gonna do. I'm gonna show you how to read this market, all right? I'm gonna show you how, for $9, you could actually go out there and learn exactly where these 70% of these buyers and sellers are. Listen, just on that one stock that I just showed you a couple of minutes ago, you could have paid that a year's worth. So finding these stocks are pretty easy. We just worked through the big percentage gainers and losers. Now the thing is this, there's a lot of stocks that are moving in the big percentage gainers and losers. And let me just show you, like for example, Ucar, and I'll just try to minimize this. There we go. So Ucar right here, you could see it. Let me get my crayons out here. You could see it right here. It is the biggest percentage gainer of the market. See, it's number one. And you could see right here, it went from $4 and it's already up to about 11. When we started at 12 o'clock, the stock was literally right here. It started going up, it was already at $9 and it's literally went up $2 since we started. And you probably want to know, would you pay $9 to know why it's continued to go higher? That's what we hear about and that's where you're gonna get that action. So I put this back over here and let me show you what we're doing.  Okay, just want to clarify that. Trading, listen, they're always good times to trade. I actually came out with my own mouse pad, which you can get on our website, tells you the best time to trades and worst time to trade. I invented this mouse pad about 30 years ago, have not changed it yet and it still works. But knowing when the best time to trade and worst time to trade, you could trade the morning, you could trade the afternoon, you want to be careful in the middle of the day because we're at lunchtime, but you want to trade depending on what part of the country you are, the part of the world you are, there's a time for everyone to trade and we'll teach you how to do that. Next thing is, you probably want to know is how do you find these stocks and when do we trade them? Now, I know some of you here have joined me on social media. We are live every morning at 9 a.m. Eastern and we're live at 2.30 in the afternoon. So you can catch us twice a day, put free at any of the social networks, we broadcast live. And not only that, but we post all our trades so you can go back and test and see, oh, let's see if Alstow and Cybertron University found out. We got that covered for you, okay? Now, the big thing is this, how do we find the money? How do we follow the orders? So how much is the mouse pad, Lori? I think it's like $6, $7. I have staff and your staff on a rich, if anyone has staff, could you guys put the link in there? If anybody wants to buy that mouse pad, like I said, let's put it in there if they want to get it. Sometimes, you know what's good about the mouse pad, Lori? It's that it always reminds you, let me go back and make sure I'm not trading at a bad time. It just sits there and smacks you in the face if you know what I mean. All right, there's the link. Thanks, Alex. All right, so let's talk about the vehicles. So you got level two, level three, level four. Now, with that, I want to do a poll. And the poll is this. Does anyone here have NASDAQ Book Viewer? Just add a curiosity, just a quick little poll on that. Okay, so just to let you know, the NASDAQ market controls about, almost about 50% of the volume of the entire market of every stock that you trade. So I mean, I don't know if you guys realize this, but listen to me carefully. You have the opportunity to have a seat on the exchange, okay? Literally have a seat on the exchange. Now, when I started to get a seat on the New York, it was like about several million dollars, NASDAQ, you had to pay for the, you know, to get licensed and you had to pay for the software, it was a few thousand bucks. Now you get to pay, it was $15. So let me show you the value of it. Now just think about this for a second. You can now see where every order is in the market. Now, I know there's something called level two quotes, which by the way is outdated. I don't want to waste any time on it, okay? Level two has been outdated since the late 90s, all right? And I know a lot of people look at it and it looks cool, you know, moves the flashing lights, but, and you might even say, oh, it moves too fast. I don't understand it, you're right, okay? Let me get right to the best part of it. But the question is this, do institutions hide many of their big orders? Yes or no? Let's think about this for a second. Ken says yes. Joan says yes. Craig says yes. Sylvia, Don, Robert, they all say yes, okay? All right, well, guess what? You're correctly right, they do hide their orders. Now, wouldn't it be nice to know where they're hiding it and how they're hiding it? Well, it's what you need to know is how to trade them. So let's go talk about Nasdaq BookViewer. Now, let me tell you what we're looking at right here. Now, this is where things are to start getting interesting. So stop watching TV, stop looking at the stock I told you about, let's focus on what we're here right now, okay? Because this is where things are gonna get really, really interesting. Now, right here, you'll notice you got buyers and you have sellers. You got three columns, one, two, three, one, two, three. Okay, so the first column is the amount of orders. Actually, let's start with column three. Column three is the price that somebody wants to buy square for. That's the highest price right there. Second column is the amount of shares and the column right here is how many orders make up those shares. So you got three very important columns. Now, whoever wants to buy the stock for the most amount of money's up on top, whoever wants to buy for less money's down at the bottom. So what you're looking at is everybody in the entire world that are negotiating a buying square. So if you wanted to buy square, it would come up here. If you wanted to sell square, it would come up here and you'll get to see your order out there live on the Nasdaq BookViewer. Now, for some of you have to keep in mind. Buyer orders equal support. Sell orders equal resistance. Now, the reason why I stress this out is everybody does it backwards. Everybody's looking for supports and everyone's looking for resistance levels. But think about this for a second. How are you gonna have support if those buyers are not there? And how are you gonna know you have a future resistance level just because you sold in the past if those sell orders are not there that were in the past that are not in the future? You follow what I'm saying? So let me just repeat that again. Without buyers, you have no support and without sellers, you have no resistance. So whatever you think you see in the past is not indicative of the future unless those buyers and sellers that are out there. Now, with that said, with those buyers and sellers this is how we apply it to trading. Here's a chart and we're looking at a stock in the video. And you'll notice that the stock goes from 114 all the way down to a price of right around 400. It hits 400, it goes up. It hits 400, it goes up. It hits 400, it goes up. Why is the stock bouncing and having a tough time going below 400? Well, when you look at NASDAQ BookView where you'll notice that there's a 19,000 share buyer and there are 45 orders around the entire world that make up 400. Now, you have to understand something. There are buyers at every price. You got 400 shares, 100 shares. Look it on here and you offer 300, one share, 50 shares, 100 shares, 500 shares. You might not think 19,000 is a lot but when you look at the overall orders on the NASDAQ that makes up close to 50% of the every trade that goes off on NVIDIA and that one single price right there at 400, there's 19,000 shares. I would call that support levels.  Well, not really eight is, but you know what I mean.   What it has to do is that there's a big buyer out there and by knowing that buyer is out there, that's why the stock hit 400 and bounced off it. Same thing goes for resistance levels. Let's look at AI for example. AI goes from $37 at 9.35 and about 20 minutes later, it goes to a price of 41 and then tanks back down to 36 within 10 minutes. How could you have not prepared and not knowing to get out of that resistance? Well, if you look over here on the offer and you work your way down, you'll see that at $41, there are 62 orders of 28,000 shares out there. Now, is that a lot? Well, look over here on the offer side, 100 shares, 200 shares, I mean, we're working way down. I mean, look at all this. Oops, sorry about that. I mean, look at this, 200, 300. I mean, like, when you get down to here, right here, look at all those orders. That order is this order right here. No wonder why the stock went up and came back down. If you had a game plan and knowing that resistance level was there, probably would have gone well with it and got out of it. So let's think about this for second fellow traders. How much smarter and better trading decisions would you have made if you traded AI knowing that there was about 100 to 300 times more of the average seller at one price than at any other price? Think about that. Is that worth $9 for you? Would you pay $9 for that? Of course you would. Of course you would. And if you wouldn't, then you shouldn't be here. Okay?  And more importantly, you're losing your money. Now let me explain something to you. Okay? And please, don't take this in a bad way. All right?  I don't know if that's a bad thing, but I feel like I'm the adult in the room because I've seen so many people blow up their accounts.  Okay? I'm not the person when you blow up your account, be like, worry about it, John. Don't worry about it, Jack. We'll get it next time, Don. By the way, go to your bank and we'll get more money and we'll find another stock.  Why did you do that? So we don't do it again. Listen, losing money is a good thing as long as you don't do it again. Right? But you know what? I'm here because I could almost guarantee, and I'm gonna ask everybody this question. Actually, you know what? I'm gonna do a poll on it. All right? I'm gonna do a poll on it. I think I have a poll on it. No, I don't have a poll on it. Okay. I actually did. We did a couple of updates on our polls, but can I ask everybody the honest question? Are you really, are you making money? Are you losing money? Are you breaking even? I don't know. Just let me know. How's everybody doing? Zero, Lori. Anyone else? Slowly dropping, losing, paper trading, half and half losing. That's why we're here. And you know what? You know what? The thing is this, if you're doing well, John, that's great. And you know what? Great traders never stop learning, okay? But majority of people here are not doing well, and that's okay. And that's what we're gonna talk about author and Jack and Brad and all you guys, okay? So what I wanna teach you is how to find iceberg orders. All right? So let's go through a couple of examples. Riot. What's the stock doing, everybody? Is it going up or going down? What's the stock doing? Up or down? Down, down, down, down, down. Okay, great. Do you have all the stock? And it's going down like riot, okay? What do you do? What is your game plan, everybody? Do you sell just because you're losing?  Let's think about this for a second. Let's just say you're in riot. How are you gonna deal with this? Coldline 11? I don't know, what are you gonna do? Wait for buyers, John, John, let me tell you something. John, there's no buyers on a chart. But you know what? That sounds like a pretty good strategy, you know, going to short buy puts on it. Ken, why would you buy puts on it? What if the stock goes all the way down to $2, you know? Or what happens with bounces? You need to know where the buyers are, okay? Forget about all the indicators like some of you were mentioning. You gotta go to your Fibonacci. Are you kidding me? You kidding me? This is what you need to do. What you need to do is this. You need to go to NASDAQ BookDeer and you gotta say, okay, let's take a step back. Where are the buyers, okay? And then right here I could see, okay, there's a 70,000 share buyer, there's 16 orders out there at 1160. Now remember, stock right now just came down from 11, it's at 1190 and we're literally about 30 cents away to the next significant buyer. So let's just think about this for a second. Where do you think in theory the stock is gonna bounce off? Where do you think we're probably gonna start going the up direction? Ken, do you think? Brad, do you think it? John, 160, 160, okay. All right, let's look what happens. So we think it happens, it's gonna keep dropping, it's gonna bounce, I'm not sure. What do you think? Well, look what happened when it got right to that price of 160. It went all the way down to it and it bounced up 160 and went right back down to up to 1210. Now you're probably looking at this and be like, this sounds too easy or don't, I hate, don't let me take that word back. This, is this really true? This really happened? Well guess what? I'm gonna tell you how to find it and I'm gonna invite you all in the trading room and do it, all right? Now, how does level three stocks work on resistance levels? Now remember, you're looking to take a profit, right? Misha says, what about if 1160 was spoofing order? Misha, do you know spoofing is illegal? Do you know if a brokerage firm gets caught doing something called spoofing, he could be fined millions and millions of dollars? And not only that, but I'm glad you brought that up and please don't, you guys could challenge me all you want, okay? But I was a market maker. Now, can somebody cancel an order? Well, unless all those people are in cahoots with each other, that could happen. You could cancel an order, but spoofing is illegal, okay? And if anyone tells you differently, this is what you have to tell them.  Where did you learn? Because listen, listen, unfortunately in my business there's a lot of bad actors that think of traders and sound good and have good followings and know how to market. Listen, I have people in my industry that blow me away. They got millions of followers, okay? Cause they're great marketers. I'm not a marketer. I'm a 52 year old man, been doing this for 30 years and I'm looking for traders I could just trade with. I'm not looking to build a following and make money on YouTube, okay? But the way you know who is legit or not to move forward is this. Let me move on. Is right here. NASDAQ has me as a expert to come in to teach you their software, okay? To teach how to trade a market. Metastock has me come in there. Trade station, you ever hear of them before? Ever heard of a company called, I don't know if you've heard of a company called Thinker Swim, okay? They have 1,000 of Puglisi and his staff to teach their clients how to trade. Does your brokerage firm, the person who mentored you? Is he endorsed by them? Is he been there? Probably not. All right, now let me get back to the stock right here. Where's, now where's, but what about stock hits resistance levels? Now let's look at this stock right here, SOPA, okay? Where do you think resistance level is gonna be on SOPA? A, B, C or D? Craig, we're gonna get to that question. That's a great question. We're gonna get there. Does everyone should be able to answer this question? Danny, you're right. Brad, you're right. Mitch, you're right. Well, Mitch, I said, A, B, C or D, okay? I don't need a number. All right, so you know what? If you said B, congratulations, you're right, okay? Now when you look at a stock like this, first thing you're thinking, SOPA, like, oh, it's going up, okay, great. But did you check on NASDAQ and see what's going on? Because if you didn't, and saw that big 200,000 orders out there at 103, look what ended up happening at 930. It went all the way up, and then all of a sudden it started dying out, and then look at it all the way to the close, didn't go anywhere, pair six. I don't know why do you think it didn't go higher? Because Foustal said so?  Now, your next question people are gonna ask is this, does everybody have their cell phone with them? Everybody pull out your cell phone right now, okay? Because I'm gonna tell you where to get it. You can go to NASDAQ, if you take your phone and scan that QR code, you could actually go to NASDAQ and buy this from them for $15. That's it, $15. So just save it on your phone. You're also gonna go into that address right there, that link right there, we just posted a link, you could save it, but keep out your phone, because we're gonna need it. I got a promo I'm gonna give you. But I like to use QR codes because it's pretty cool, just turn your camera on and it brings you right to the webpage, okay? So, listen, I don't work for NASDAQ, I'm just, they had me come as an expert, but believe me, the exchange wants you to know how to trade because you don't gotta be licensed to do this anymore. To get this data when I started, you need to be licensed.  And it's amazing how many of you are still not using these tools, okay? Now, has everybody got that scanned? Everybody, can I move on? Just give me a yes or no. Lori, you got it, okay. Don, I didn't hear from you. Michael, I've never heard from you, Gloria. Okay, good, all right. So let's move on. So how can we tell if these icebergs get broken through? Now, let's talk about something called level four. One of you just brought up about Book Viewer on Thinkorswim. So now what I'm gonna do is I'm gonna implement this into a heat map. Now, level four is, right here you got, I called Nasdaq Book Viewer right here. This is Nasdaq Book Viewer right here, okay? And some of you probably looking at it, oh, the numbers, they move too fast, whatever. But now what I'm gonna do is I'm gonna implement it on a heat map. So now you could see how long he's been out there and why they're out there and how long they've been out there for. So let me talk about that. So let's look at the history of this stock. Now, we're looking at AT&T, right? The gate went from 1780, went all the way to 1830 and came back right down, right? So I'll stop at 1830. Now, what I wanna show you is this. We're looking at a heat map. Now, on level three, you'll see this big number out here in red for 70,000, okay? But over here on the heat map, you could see that he came up and he showed up right around line 34 and he never, and he sat there and he's the one that's responsible to make that resistance levels at a 30. So there you basically have that big iceberg order out there, all right? And when you look at it, that's the reason why the stock never went past 1830. Now, let's look at Carvana. You see right here that right here on level three, a 41,000 share buyers out there right at 1180. You see it right down here, that red line, he's been out there for 20 minutes. And here you have a stock that's going down from 1220 and it keeps going down, down, down, down, down. What if this could happen when you get to 1180? Well, sure enough, came to 1180 and shot right back up to 1220. Now, how could you have had that gain plan? Well, if you saw those orders out there on level two, level three, or if you had the heat map on level four, that will kind of explain it to you. Here's another one, PLTR. Stock opens up, look at all these orders out here, look at all these lines out there, 250,000, 140,000, 115,000, 120,000. Look at the bar over here, look at the time in sales. Stock goes from 950, it comes straight down to 870. Why?  You think someone wants to own a stock with all those sellers? See, this is why traders trade blind. Think about it, remember what I said to you earlier, how much smarter and better trade decisions would you've made by seeing these orders out there? A lot of people don't do that and it's disturbing and it must bother you, but think about it, it's okay because we're gonna fix it. We're gonna fix it because I'm gonna get you educated to teach you how to get these tools and how to use them properly and then do what you can to make that, hopefully that career that you always wanted to do make it as a reality. Let's look at this stock right here, PLTR, big run up again right now, 950 goes all the way to $10, right?  Do I sell it? Do I get it out? What do I do? Yeah, the COB means current order book. That's the orders out there and that's current. That's what that basically means, Ken. So now we're coming up to a resistance levels, right? Stock started right around that 940, but we put on a heat map. You'll notice that there's a 352,000 share seller out there. Now, let's think about this for a second. What should happen when we get to $10? Should the stock go up or go down? What do you think? Rad, you're right. Lori, you're wrong. Lori, why would a stock go up with a, do you want to hold the stock when you're coming up to that many amount of shares out there? I don't want to hold on to it. Let somebody else break through it, right? Okay. Now, what happened to PLTR? It went up. Wait a minute, does that make sense? I don't understand. Fousa, you just told me that when we hit 10, it was going to go down. And guess what, it did go down. But guess what ended up happening? It went higher. Why did it go higher? Because if you look down here at the bottom and you look at these bowls, that seller got executed. Somebody said, you know what? I like PLTR. I want to buy it. Have you guys seen PLTR lately? PLTR has been a really good run up lately. And you could see it right here. Look at the stock. 10 was resistance. Once that big iceberg order got done and not only is a day trade, but as a swing trade, look what happened. Stock wearing from 10, it's already at almost at 15. Who doesn't want that job?  And if I drew that trend line, you'd be like, you know what, there was resistance back in February and there was resistance. Oh yeah, now I know why there's a big resistance. And you know what? History is a very good way of repeating itself. I should sell at 10. And you know what? The seller that was in the past is there in the future. But the seller got done. Somebody bought it. And this ain't pocket change. It was 300,000 shares of a $10 stock is, that's $3 million. No wonder why the stock ran five bucks. Not bad. Someone's melting the iceberg heat. Exactly, exactly. Let's look at this example right here, PACW. Stock goes from $6.50 up to $8. Doesn't have a tough time breaking eight. It comes back down to six, okay? How is that even possible? Well, in pre-market, big iceberg orders showed up at eight. Then when the market opened up, they lowered their offer. They went to $7.70 for $140. Then some other traders showed up and ganged up at $750 for about $200. So now you got $140, another $270, right? And then if this poor fellow that wanted to buy it actually got executed, no wonder why the stock's going down.  How'd I go from eight and now I'm down to six? Like that. Like you said, Keith Ken, I'm melting iceberg. And not only that, but now we're down to this other iceberg order right around at $6.70. And you know what? That's the only people that's starting to buy right around six. Here's another one, Tito's. Big seller out here, 248 smackeroos. Stock from two o'clock, hits resistance, comes back down, sell, adds to the position. You can see it's lighter orange and it gets darker. That means he added to it.  Guess what? You see that green ball? So it actually bought it from him. Bought it from him and boom, the thing went from 480 up to 510. So for some of you, once again, what's a breakout? That's a breakout. That is a clear breakout. I'm gonna show you one other one. Okay. I'm gonna show you one other one. Hold on. Where are we? Hold on one second. Okay. Here we go. I want you to see this right here. So UCAR, okay? See UCAR right here? Can anybody tell me where there is support some resistance levels on UCAR at? Where's the support resistance levels on UCAR? Well, you had it there. You had it here. You had it up here. And then finally, once it broke this one, it went higher. What number is that? That's a seven box, right? And then, you know, you had another one at like nine, right? And you got another one right here at 11, right? Okay. So let me bring this up for you. Look at these numbers right here. Oops. Hold on a second. This out. Look at the sellers out here. 10,000, you see these little red lines right here? These old breakouts. See these sellers out here? Breakout, breakout. So you kept holding it down and obviously the guy let go and he left at nine. He's like, where'd he go? And all of a sudden he got executed. Went to this next seller, 10, got executed. Breakout, breakout, breakout. Those resistance levels are what make these stocks go up and go down. Now, did I lose anybody yet? Because is level two an indicator? No, okay. But the thing is this, what do you think is easier to read?  A couple of questions coming up here. Is someone buying from sellers at resistance should stock go down? Well, Donna, no, if somebody, first of all, why would somebody want to buy a quarter million shares of orders out there? You know what I mean? Like when everyone's showing 1,500, 700, one share and you got that big block of an iceberg order out there and someone buys it, it'll go out there, I don't know if you have a quarter house and be like, damn, I can't be a person paid that much money. I would never pay that.  Meanwhile, just because it's not worth it to you, it was worth it to somebody else. So that's why you have to look at it. What makes you think you're smarter than them? What makes you smarter today than 30 minutes ago when you started is you finally realized that you have been shadowing and focusing too much on the past and that have not had been focusing on the future, okay? So, regarding about it, but everybody wants to talk about indicators. Everybody wants to talk about indicators. And to me, I like to keep things simple. It's called the KISS method because technical analysis is paralysis and that's we have to look at it. Don't go out there and make those mistakes. Don't go out there and learn the thousand different indicators. Let's just focus specifically on orders. And you'll see how much easier your life would be by just seeing where those stocks are going. And that's because that's what we thrive on. We thrive on volatility, but it's that volatility of those orders that make those stocks go up and go down. Now, this is the thing. There's no better time to learn than now, okay? You're going into a good time of the year, college is done, kids are back from school. You could see we're going to an election year. It's time to learn because it's never too late to learn how to trade. The stock market is not going out of business. And what I want to do is this. I want to introduce you to my staff and my students. I want you to meet John G, Alex P, Philo. I want you to see how they got into positions, how they got out of positions. How do they learn how to do it? Because if you are somebody here that just does not just want to learn but want to be part of a family, then you're at the right place. But let me just tell you this. I take the class very seriously. A lot of you here really don't take this the wrong way. I'm really not qualified to trade, okay? Listen, if everybody could go to Harvard, I think everybody would, okay? Even if you could afford it, but Harvard doesn't care if you could afford it. What they care about or Penn State or Yale or whatever any college. You know what I mean? You still got to qualify and say, okay, listen, I know you want to be, you got the money, but do you have the grades? Do you have the commitment? Are you going to be here? Because you're going to end up failing anyway.  It's not going to work, you know what I mean? I mean, but there are schools out there. They'd be like, oh yeah, we'll take your money. And what ends up happening? That's why they don't have that prestigious. That's why they have that prestige. And that's why CTU is a different class of traders and a different than most people out there. And that's what I want to introduce you to.  And congratulations Ken, graduate at MIT. And by the way, I don't know if you're an engineer, but 20% of my traders are all engineers. So listen, I want to bring you all to come and see it and how it works. And this is why Cybertrain University has been endorsed by some of the biggest brokerage firms in the industry. And let me tell you, you could do all the homework you want. And let me tell you, there's a lot of jealous people out there. You might read some bad articles about me and not that, listen, they're just competitors. But you think NASDAQ would have fouls still come and talk on their behalf. You don't think they do credit checks on us. You don't think Thinkorswim does a background check on my staff. You don't think they see what's going on. Trust me, they look at our traders and they have us come there because if you know what you're doing, you'll be a client there forever. So this is what I'm looking to do. If you haven't subscribed to my channels, I'll post up the link right there, but better than that, this is what I want you to do. It's not about my social media network or getting you here and following me along. You know you want to do this, okay? You know you want to do this and you want to see these stocks like UCAR and Carvana, which is obviously moving great right now. You can see Carvana is moving awesome. See Carvana right here? Look at that. Beautiful run up, nine o'clock. We're from 13, it's at 15. Just to show you what's going on right here. They've been trading. I want to invite you to my trading. Look, they're trading Carvana. Look at, look, Elizabeth, look at, she's trading. Look, she made good money in Carvana. She's done for the day. You know, Steve trading Chewie. Look at my staff, Chewie. So look, look how we're working together with our team of traders. By the way, there's live audio broadcasting here too. All right. I want to invite you all to come in here. Once you come into the trading room and I want you not to judge us on our winners, but I want you to judge us on how we control our losers. Cause that's the biggest issue I told you from the beginning. Now you start at 9 a.m. in the morning and we do live commentary from 9 a.m. to 10 30. And then we pick up live commentary from 2.30 to 4 but we're running all day long. All right. Now, every Tuesday we do a Q and A session. You know, we go out there, we do trades with our traders but the goal is we try to work with our traders and teach you how to get in and get out of it. Now, let's get right into it. How are we going to get started? Before we go into these questions, let me go here. Everybody have their phone? This is what's going to cost you $9. $9 right now will give you a one week access or you can click the link on right now in the trading room and I will get you into and show you into our trading room where you could be able to talk to our staff. Oops. Trying to make the money. You can actually talk to us. There's phone numbers. We're going to actually call you. You're going to do a walkthrough with our instructors. We're going to teach you what's going on. You're going to get workshops. You're going to have all the stuff for $9. So this is what you're going to get. You start the room at $9.45 to $4.30. We do live audio commentary with me and my staff and some experts. We're going to get three pro workshops. You're getting a trader's work large brary which is about $1,000. I mean, and as a bonus right now, if you register I will personally do a free coaching class with you. This is all for $9, all right? Now, we do teach a lot of classes here but I don't want to talk about them right now. Some of you here are like, do I buy this? Do I buy? Don't buy anything. The only thing you have to buy right now is be the first 20 people right now because there's over a hundred people in here. Get the coaching class. Get your phone. Scan that QR code or code to click that link and let me show you how we find stocks like Carvana, like UCAR today, like AI, like what made them up, what drove them up and go from there, all right? And at the end of it, let me tell you something without wasting your time. Let's say, and listen, you gotta be there all week. You can be there for one day. You don't gotta start tomorrow, which I probably would but listen, you go out there, you start when you wanna start, okay? Maybe Monday, you know? But it should be fresh in your mind. And the thing is this, if you're not happy, I'll give you $9 back. Listen, I don't need your $9 and to answer one of your other questions as someone came in here, what happens after a week?  How about that?  I don't do that. If you do not wanna continue at Cybertry University, you don't have to. Listen, I don't need your business. I don't need your $9. You know what I'm looking for?  I keep playing games.  This makes sense. I wanna see if this is really true or not because we do practice what we preach. So get in my trading room, we'll do it, okay? Now remember, I used to pay $1,000 a month for this. Okay? Now you're getting for $9? Sounds like a pretty good deal. Marissa says I work from 7 a.m. to 7 p.m. Marissa, listen, you could also swing trade. We do options trades in here, all right? So listen, you're gonna access to the recordings. You could do it during your lunch break. You know, hell, maybe you could probably even replace that 7 to 7 job, right? Which by the way, that sounds like slave labor if you're working from 7 to 7, 12 hour shifts. Hope you're not doing that seven, five days a week. You don't wanna burn yourself out. Yes, you'll get the, everything is being recorded. Everything's being recorded. So you'd be able to access the recordings or the classes, all that stuff. Now let me do a couple of shout outs really quick because we got a couple of people that just registering now. But before we do that, let me just tell you something. Everybody here, when you register, there's gonna be a questionnaire. Very important because our educators, our educators visors are going to, you know, once again, wanna make sure you know what you're getting yourself involved in, wanna know who's your broker. Just let us know. Have you ever traded level three before? How long have you been doing this for? That's all. Just five simple questions. Get to know us a little bit about you, all right? Now regarding about bonds and everything else that you guys are asking, let me explain something to you about the markets. Anybody here on a business or anybody here work somewhere? I know we've all done something. Let me explain something to you. If you're doing something for more than, I don't know, three months and you're not making money doing it, no matter how much money you invested, trust me, you're wasting your time. You got two issues. Number one, you had a bad teacher or it's not for you. So it might be time to change. I know you like the business. I know you like the industry. Trading is trading. If it's bonds, if it's crypto, if it's options, but if you're doing it more than three months and you don't get it yet and you don't see that you're making progress, it's time for a change, all right? And I know some of you say, one of you just here said, I tried this and it didn't work out for me. Well, who trains you for day trading? Listen, day trading is the easiest thing to do out there. Swing trading is more difficult because the old positions overnight, options trades more difficult because you're doing all that. You gotta look at that in that perspective. But for $9, for $9, I just showed you two stocks that just took off. You could have paid that 1,000 times over, make an investment, get into trading room. And let me tell you this, another question. One of you just said faster, wasn't this free? You know what? I'd be honest with you, I could do for free, but you know what happens? I feel like you don't take it seriously. You know what? We used to do it for free a while ago. I used to move everybody in the room, but I'm like, you know what? I just feel like people don't take it seriously and I'm not gonna have my staff because it costs me a lot of money to them to talk to you on the phone. We don't wanna chase you down. You serious? Pay to $9, okay? And we'll go from there. And like I said, if you're not happy, I'll give you your money back. A couple of questions is people, oops, I almost delete these. Kathy, just got your registration. Welcome aboard. Timothy got your registration. Welcome aboard. John got your registration. Steve, thank you very much. Got your registration. Welcome aboard, Steve H. Looks like you have some of you just starting to register right now. Now a couple of the questions, let me just bring this up because I had a couple of questions that did come up here. So the questions I had right here as you people are registering, can I buy and sell options, contracts while you trade these stocks? Listen, I don't want you to buy anything. Your goal is to watch. You need to see if other people are making money doing this. That's it. Don't look at me. Listen, I don't make you money. I gotta teach you how to make your own money. You have to hit the button at the end of the day, okay? So don't worry about trading contracts or anything else. How much money do I need to get started? Actually, I'm sorry, you need $9, that's it. You only talk about a brokerage account. We don't want you to trade. You don't need anything. Just need the $9 to start out. These are the time slots that we're gonna be having. These are the time frames. We go from Monday to Friday. And we do live commentary in the morning and in the afternoon, all right? No, this is only for one week. One week only, all right? So you got the link right there. Sorry about that. Put the link up there for you again. There we go, that's an Azzaq one. Everybody got that one. Oh, there we go. There you go. So take your phone and you can scan it or you can click on that link right there. All right? I'm shocked. There's only 15 people registered so far. There's 100 people in this room. 100 people. What are you, what's holding you people back? Why, what are you not interested in making money? The $9? The $9, you guys don't want to get involved for me to teach you how to trade with a 12-time champion with the longest running school in the industry and how to play the game. Come on, everybody, step it up a little bit. And when D just got your registration, welcome aboard. Who else we got? Debbie got your registration, welcome aboard. Steve H got your registration. Appreciate the vote of confidence. All right? Oh, Diana, you registered last week. Okay, no problem. I got a couple of people that registered last week. Well, welcome back. Diana, by the way, did you talk to Education Advisor? Did you have everything taken care of? I don't know, did you get your appointment with me yet? Oh, today you did? Okay, good. All right. I'm ready for your program. I just want to get through your workshop again. Great value, John. And by the way, I'm gonna share this because some of these people like, you need to see this. All right, so there it is, that's John. That's okay, John. Listen, take your time. Just make sure that you talk to the Education Advisor, all right? Feel free to message us in the room. You know what I mean? If you have any questions, but just listen, you gotta make sure, listen, I look at this as going to the doctor's office, you know? Listen, I just turned 50.   My dad died from, you know, from Alzheimer's, Alzheimer's and with a stroke, he was paralyzed. And my older brother just got diagnosed with stage one cancer. So like, I'm like, I'm freaking out. I want to make sure I get taken care of. So I just had my MRI yesterday, okay? I just had my prostate just tested last week again. I'm going through all the tests. I'm like, you know what? Because we don't end up happening. It becomes too late. I was sitting, let me tell you a sad story. I was sitting getting my MRI yesterday. And there was this older gentleman sitting next to me. He was getting his hernia fixed. And he was telling me about, he goes, why are you here?  My brother, you have cancer. And my parents died. I just want to make sure I'm in good health and everything else. He goes, you're smart.  And she's not here today. He says, take all the tests that you can because you better safe than sorry because if it's not, it's too late. The same, and I know some of you here, probably, we could talk about this forever. Someone in here definitely has experienced something like that, if not even yourself. Trading is the same way. Don't let it come to a point where let me try it. Let me see how it's going. I'm retired. Social care is not paying enough. Maybe I got laid off. Let me see, this looks pretty good. Let me look into this and then let me try first. And then if I like it, then I'll learn how to do it. You know what, that didn't work too well for that father's daughter, okay? That didn't work too well for my brother that he got tested, thank God. But it didn't work too well for my mom and dad being ignorant, you know, being older, you know? So go out there and be smart. Take care of your health and also take care of your trading because from what it costs you to do it, it's peanuts. You know, and let me tell you, you have the opportunity and do it right. Now let me just do a couple of shout outs right here. Let me just show you. These are the people I've just registered right now. It's got, who is this right here? Donna, I got your registration. Welcome aboard. He's all the red, oops, one person from my house. Steve, I got your registration. Senita, I got your registration. Oh, I think we passed, definitely passed 20.  Anthony B, I got your registration. Welcome aboard. Robert, welcome aboard. You can see everyone's registering right now. Good, all right, perfect. I got all the red, good, good, good, good. All right, so listen, I gotta get ready for class. I wanna get ready for the close and wanna get back with my traders. I wanna thank all of you guys for being here. I really do. And listen, if you didn't register, maybe you're not ready, maybe you wanna do your homework, I get it. But please don't go out there and make the mistake, okay? Go out there and if you're not gonna learn from me, go learn from one person, but you're gonna have to learn from a few different people. But it is a great job. It really is. I love this job. You are your own boss. You can come and go whenever you please. You know, if you haven't figured it out from COVID, you know, it's not too bad to work out of your home, but you need that office environment, okay? And that's what we've been doing for 30 years. So let's go out there and be part of the family and go from there. So thanks for listening, everybody. Don't forget to subscribe to our YouTube channel and don't forget to book your appointments with your education advisor. And like I said, in the meantime, I'll see you all in the trading room. Thanks for listening, everyone and good luck trading and we'll see you then.


Live from New York City, it's The Cube at Big Data NYC 2014. Brought to you by headline sponsor, Juan Disco, with support from EMC, Mark Logic, and Teradata. With hosts, Dave Vellante and Jeff Kelly. We're back. We are here with Todd Goldman, who's the Vice President of Enterprise Data Integration at Informatica. We're talking data, we're talking data integration. Todd, welcome to The Cube. Good to have you. Yeah, it's great to be here. So, it's a data week. Yes, big data, big data week. Yeah, and it's crazy over at the Javits. We understand it's pretty packed. Yeah, we're 5,000 people there. A lot of action. And I'm going to just get right into it. We were talking offline at our event yesterday. Jeff Kelly presented some information and we asked our customers, what's the number one, what's the tool sets you have for your big data initiatives? The number one tool set that came up was an initiative with data integration off the charts. And you were saying, well, a year ago, it would have been different. What's your take on that? Yeah, I think that what's happened is people have gone from sandbox environments where they're playing with this stuff and maybe using one or two sources that they put into Hadoop and then say, and then they play with that and they can do all this in hand coding. And now it's gotten a little bit more difficult I make an analogy to my teenage daughters who leave their clothes all over the house. They've got their clothes all over the house and I tried the strategy where I said, okay, they're not putting the clothes away. I'm going to take all the clothes, this mess that they've created that's extended all over my house into the car. I'm going to take all that stuff. I'm going to dump it onto their bed, in their bedroom, and then they're going to put it away. They're going to organize and put away. And of course, I went from having a distributed mess to a co-located mess. It was not put away. It wasn't cleaned up. And the same thing's true, I think, with Hadoop. And that's what they realized where there's a big advantage with Hadoop where I don't have to have a schema. I don't have to worry about the data structure going into Hadoop, but that doesn't mean it's integrated. And I think they confused this idea that I could, in the old days, you take your data out of your operational database and then you'd put in the warehouse. You'd have to restructure it. So you needed E, you need to extract it. You need the T, you need to transform it. And they need to load it.  Well, Hadoop, you don't have that. So everyone said, oh, you don't need data integration anymore. You don't need ETL. Well, then they put 10 data sources in there and they realized, well, wait a minute. In order for me to actually start querying this and get analytics out of it, I have one system that, simple example, but one system that's got social security number in three columns and another system that's in one column. Well, before I combine all that data together, why don't I need to normalize that so social security system's all the same? I can combine the data that I can start analyzing that. And you multiply that by every attribute, every system, it gets complicated really fast. So they're realizing, oh yeah, I've got to apply some of the old thinking to this new environment. I love the analogy, not only because I have teenage daughters, but it's so true. Did that work for you? You got it, it did. Because I'm picturing, well, I know my daughter, she's got to fold the clothes and she goes to the drawer. Her drawer has to be reorganized because it's all a mess and I don't have time for this. So it just stays there, it goes in the floor. And take that metaphor into data. I might not have the place to put it. I don't have the structure. I don't have time for that. The bombs are dropping all around me. The boss is coming down. Something just went wrong. I don't have time to organize this. And I think that's the whole thing though, that people are moving from this ad hoc world to how do I operationalize this process? And to operationalize the process, it means that I've got to know, well, what data do I have where? Are my sweaters in the sweater drawer? Are the pants in the pants drawer? If mom comes in or her sister comes in and wants to borrow a sweater, but it's on the floor, she's got to go through all that stuff and find it. And the same thing's true with data, but a thousand, hundred thousand times worse because there's so much of it. So if there's lineage, if there's metadata to track, where is the information that's sitting in my Hadoop repository, then somebody else can come in and share that information. And I've also, if I've taken five data sources and I've combined it together in some interesting way, and I've cleansed it along the way, and then Jeff over here comes along and wants to use that.  I'm not going to take all that raw data. I'm going to start from Todd's nice clean repository that he's taken my data swamp and he's created a nice clean data lagoon. I'm going to take something from the data lagoon and maybe you'll add to it. But at least that way, for you to decide that you trust it, you're going to look at, well, what's the lineage of the data in that lagoon? Do I trust that lineage has Todd cleaned it? Can I see that process? And these are the kinds of things that if you hand code everything, it's very hard to figure that out. And this is where tooling comes in and visualization of these environments come in. And this was true with classic data warehouses. The issue was that that process to prototype and build took too long. With Hadoop, that process to prototype is just completely shrunk. And so I can go from, I can prototype much more quickly, but then I have to think about, well, how am I going to then make that prototype repeatable? How am I going to make it so that other people can use that information? Well, Todd, we were talking earlier a little bit about what you're seeing in terms of this transition from a lot of the code jockeys at Hadoop World. And now you're seeing more kind of business conversations and conversations around things like governance. So are you seeing that shift? Are we starting to, I mean, across the chasm is one way to put it, but are we starting to move? Do you think from that early adopter POC phase to more of these POCs moving to production? Yeah, so I think there are a couple of shifts that are happening. One shift has to do with how development is happening, where you had a lot of hand coding being done, where the skill set required to do that work was pretty high. It was just at dinner last night with a number of customers, and one major credit card company said, wow, this Hadoop stuff's really hard. It was fine for our very core small team to hand code this, but when we start pushing this out to our business units, these guys aren't capable of this. So they're looking now at, how do we have graphical tools make development more accessible? I mean, I think of it like, how many people would like to use a Macintosh and actually go to the Unix operating system running underneath? Everybody wants, everyone uses the graphical interface. The same thing with Hadoop. I know what got it actually. Yeah, and by the way, that's not going to end here either, right? That's still going to be true.  All those people, they're already Hadoop developers, they just don't know it. They can use that same graphical development environment and say, oh, I want to run that logical integration, I want to run that directly on Hadoop. So that's one part is making it more accessible, and the other part is just the operationalization of once I've made it more accessible, how do I know when I have to handle things like change management? Who's affected downstream by this change? Is there a report sitting in micro strategies or Tableau or business objects? Is there a report that the CEO is depending on, and if I change some attribute that's feeding that, I better make sure that I know that what the downstream impact of making a change in some upstream piece of data is, and once again, hand-coding that creates a problem, so tools like lineage, the ability to have metadata management and clear lineage from the source all the way to the target consumer, it becomes more important. And trust is a big part of that, do I trust this information? Because I think we can very quickly, Hadoop has a lot of advantages, but we can very quickly end up where we did with data warehouses where people throw a lot of junk in there. You've got to, and I don't know, it's like the clothing in my kid's room again. I don't know what clothing is clean, and what clothing, they just looked at, tried on and said, I don't want to wear this today, and threw it on the floor. There's some organization that's required there. Well, so let's squint through this a little bit. So we hear in this space, in the big day of the Hadoop world, that it's no longer ETL, it's more the letters of turns, ELT. So talk about that a little bit. Is it just a matter of just moving, just arranging the chess pieces a little different, or is there a fundamentally different approach to the T, to the transformation when you're doing that in a system like Hadoop, versus the old model where you would, you know, bring it out to an informatica environment, do the T, and then load into the data warehouses. How does the T change, not just in the acronym, but in reality? Yeah, so the logical part of the T doesn't change, right? I've got five different data sources, and I want to maybe create it, I want to combine it together to do something interesting with it. I still have to make sure there's consistency of that data, so that dates are all the same format, that social security is all the same format. That data is formatted in a way that's consistent, so that's one part. But then, what's the compute engine that's being used to do the T? So in the old days, the compute engine was Informatica's own engine that ran its own compute farm. Now, the idea, and you'd bring the data to the compute farm, and then you'd load it somewhere. Now the data's already sitting on the compute farm, it's sitting on Hadoop. You've got the storage and the computation tied together, so you're pushing down that transformation logic to run on Hadoop. Now this idea has existed before people talk about push down optimization where even Informatica would take some of our logic and we'd push it down to an Oracle system or push it down to Teradata. The difference is that we are pushing down SQL, and the language of SQL is much more confined than what we can do in Hadoop, so maybe we could push down 30% of the instruction set to run on Oracle or on Teradata. With Hadoop we can push down about 95% of the instruction set of things that we can do in our own system, on our own engine. We can push 95% of that down onto Hadoop, and we think eventually we'll be able to do 100% there. Because you really don't want to, once it's in Hadoop, you don't want to move the data out of it, you want to push the processing to the data, not the other way around. So the big advantage there is just I don't have to move the data, and I get that distributed compute power, so I get the same kind of scaling. Well yeah, I mean you made a very good point. I mean one of the central tenets is you, big data's heavy and you don't want to move it around. There's at least amount of movement as possible. And so taking a step back, I mean how does that impact a vendor like Informatica whose business is about moving data from point A to point B? And it sounds like the approach is we'll push down some of that capability into the repository. So that's a fallacy that I want to correct. So you're saying, because our business really, so it is partly about moving data from point A to point B, and but that's only one part of it. So you still have to extract data from the original source systems. So that's something that's still going to be important. Legacy systems never go away. So the E will still exist and that's something that turns out to be harder than most people think because getting to data in an SAP system is actually a non-trivial problem because you actually have to understand something about the data structure. So that part still exists. You've got to move it in, but the other part that's been really critical for our business has been the T. And the T is how do I once again get data consistency, but then how do I get things like the cleansing of the data? How do I make sure that, how do I profile what's in there? How do I identify, let's say there are missing values. Where are those missing values? How do I then append the information in that system or in that data to fill out the blank values? So things like names and addresses are a classic example, but just data quality in general, I might have a set of data quality rules. So in financial services, they'll have certain expectations of how certain financial instruments should relate to each other and they'll set up a set of data quality rules that will say, well, if this value is more than 5x that value, that should raise a flag and somebody should get alerted about that. Well, they can code all that in our system in a graphical way without having to once again into actual physical coding. So anything that involves manipulation of that data and transformation of that data, short of actually doing analytic type queries, people have been doing that in Informatica for years. It's just that now, once again, you're loading at first and then doing the transformation, but the transformation's still happening and you wanna make it so that you don't have to have a pig hive developer do that, which is the other big issue because there are not enough smart people in the world to do this work. And there's new technologies emerging every day in this space and that's gonna continue to happen. So the goal it sounds like is to allow Informatica professionals, people that have used Informatica in the more traditional world to migrate their skills to this new world, again, through the kind of this graphical user interface approach. Right, and even people who aren't Informatica users, I would argue it's still a lot easier for them to use this graphical approach and then learning pig hive and then whatever's gonna come next and spark. Absolutely, and the data quality component, I think is really interesting and one that gets overlooked a lot because I think some people think, well, okay, it's big data and the volume of the data can make up for some of the poor quality because when you have data at such volume, it can, you have enough volume that you overcome some little discrepancies but the reality is if you're trying to get down to a, in a big data space, we talked about last night on our panel discussion we had here about a segment of one, you want to treat a customer as, specifically that customer, you want to know everything about that customer. If you have a data quality problem there, that can be a major problem. Well, if it happens to be, you have a data quality problem and it happens to be in my $10 million account and it's off by a million dollars, I'm going to be pretty upset about that, right? So I think this is the idea that, that your data quality disappears because it just becomes noise, is true in a very limited set of cases. I used to work for America online and you have this very long tail of searches. So that's true for Google, right? The long tail, you may not care as much about that long tail but for the rest of industry where I have customers who have problems and issues and accounts and if I lose their transaction, they're going to be upset, I can't afford a data quality problem there. Yeah. How much of, I hear a big theme at the event this year is the Hadoop comes to the enterprise or the enterprise comes to the Hadoop, is probably a better way to say it. Yes. And what I'm hearing anecdotally is the Hadoop guys are saying, and actually we hear this in the Wikibon community too, this is the technology that's used, here's how you do it, the DevOps guys are here, follow us. And the enterprise IT folks are saying, well, wait a minute, hold on. We have processes, we have governance, we have data quality, edicts. Let's collaborate on this. And now sometimes it's... Right, but you know, there's a great report about this that MIT Sloan and Capgemin I did where they talk exactly about that. And it turns out that if you do just one or the other, you'll do marginally better. If you do governance only but don't invest in new technology like Hadoop, you will improve your profitability but your revenue will go down.  If you do both, you get the combination. And when I look at our customers that are the most successful, the ones who just do Hadoop and don't figure out how to operationalize it and create repeat projects, they get a little bit of a bump of, oh, we have this great project but now they've got to roll it out to the rest of the organization and they can't. So when IT... They can't because there's no governance, there's no data quality. Well, and they're stuck with this little tiny team that has to be a super duper set of experts as well. So it's the combination. And it doesn't scale. It doesn't scale. So you've got that combination. And the opposite's true too, where you over govern, you completely hamper the creativity of the guys who are trying to do Hadoop. So the ones who... I mean, this is true for lots of organizations. The ones who have a better culture where they can combine innovation with good governance, they get the best benefit.   Well, they're irresponsible. Yeah, they instead of... You look at and say, okay, I see that point of view. I understand why they're saying what they're saying. How can I at least take a step towards them because I can see the benefit for my organization by doing that. And those companies that do that to start looking at the glass half full instead of half empty of what the other guy is saying, they end up getting better benefit from the technology faster. There's so much dissonance in large organizations, obviously, many, many agendas. You don't have that nearly as much or at all sometimes in smaller organizations or startups. So what we're trying to do is identify those areas where there is alignment between IT and the business, where there is alignment even within IT between let's say the DevOps crowd and the traditional sort of governance crowd, et cetera. And those are the folks that seem to be really driving value in this business. Yeah, well for Hadoop to really take off, I mean it can't just sit in the startup community and I think if you look at, do you know what, have you ever heard of Corba or DCE? Yeah, DCE. Okay, so and but both, well, but if I had a thousand people in this room and I were to ask that question, maybe 2% of the people would raise their hands and know what they were. And the reason is these are distributed technologies that died on the vine because they were too hard. The difference with Hadoop is there are billions of dollars of investment going in to hide that complexity, to make it the UNIX operating system underneath a graphical interface, whether it's for data integration, whether it's for data prep, whether it's for data analytics, whether it's for building new kinds of applications. We're going to see that complexity get hidden away by lots of investment that are done by the startups that then get consumed into the mainstream enterprise. Well, the whole big data theme is a real tailwind for Informatic, it's interesting. You guys have been in the right place for a while and now the right time has come. So really interested to follow you guys and the contributions you're making to this community. So we got to end it there, Todd. Thanks very much for coming to theCUBE. Thank you very much, it's been great. All right, keep it right there. Everybody, Jeff and I will be back with our next guest right after this. We're live from Big Data NYC, this is theCUBE.


Hi everyone, Joe for jazby's casebrakes.com coming at you with a three team random number block randomizer that will unlock flawless pick your team number eight, which is right in front of me right here. That'll come up in a separate video. Big thanks to this group, excuse me for making this happen, appreciated. There are the numbers right there. Let's roll it randomize names and numbers two and a one three times one, two easy. Samuel down to Gretchen two and a one three times for the numbers one, two, and three. Got five down to six. Samuel five Allen with nine Gretchen with four Brian with two Ken with seven Brian with zero Ken with one and eight Gretchen with three and six sort numerically by number and coming up in the next video the break itself jazby's casebrakes.com bye bye.