The story you are about to hear is true. The names have been changed to protect the innocent. Fatima cigarettes. Best of all, king-sized cigarettes brings you drag net on both radio and television.  You're assigned a homicide detail. A 39-year-old housewife disappears suddenly. There's no explanation for it. Five days later, evidence of possible foul plays uncovered. Your job, investigate. Fatima, America's first largest selling blended cigarette. Now, best of all, king-sized cigarettes. Prove it yourself. Today, compare Fatima with any other king-sized cigarette. One, Fatima's length filters the smoke 85 millimeters for your protection. Two, Fatima's length cools the smoke for your protection. Three, Fatima's length gives you those extra pups, 21% longer than standard cigarette size. And in Fatima, you get an extra mild and soothing smoke, plus the added protection of Fatima quality. Definitely the best quality in its class. But the same price as a cigarette you're now smoking. Bye, Fatima, in the bright, sunny yellow pack. Best of all, king-sized cigarettes. The documented drama of an actual crime. For the next 30 minutes in cooperation with the Los Angeles Police Department, you will travel step-by-step on the side of the law through an actual case transcribed from official police violence. From beginning to end, from crime to punishment, Dragnet is the story of your police force in action. It was Wednesday, September 15th. It was hot in Los Angeles. We were working the day watch out of homicide. My partner's Ed Jacobs, the boss of Stad Brown, Chief of Detectives. My name's Friday. I was on the way back from lunch, and it was 12.56 PM when I got to room 42. Homicide. All right, Joe, waiting for you. Hi, Ed. Al, here you got something for us, huh? Mm-hmm. Here's the report right here. Gardner, by the name of Abbott, called in day before yesterday. Chester Abbott said his wife disappeared from their home out in the valley Thursday night. He says he thinks she left him. That was every day. Not this way, it doesn't. Walsh and I went out to talk to the man yesterday. His story doesn't make too much sense. How you mean, Al? None of his wife's clothes are missing, none of her luggage.  We found out from the neighbors the missing woman has a 17-year-old boy by a former marriage. Does that mean anything? He's an only child. Mother don't sound like a kid. She didn't even say goodbye to him. Well, how'd this Chester Abbott impress you? Pretty grouchy with Walsh and me. No cooperation. Wants to find his wife, doesn't he? I don't know. I'm not sure. He's no help. I can tell you that much. Could I see every report out? Yeah, here you are. Thank you. Florence Trumbull Abbott, age 39. Abbott's her second husband. Prisman died a little after the boy was born. Mm-hmm. Disappeared Thursday night from the home 546 Bolasco Road between 7 and 8 o'clock. Well, when did Abbott call in to notify you? Monday afternoon. Told us he thought his wife might have been spending the weekend with her sister. When he found out she wasn't, he called us. You meet the boy when you were out there? Yeah, that's another thing. How do you mean? The kid came riding up on a bike when we were talking to one of the neighbors. We tried to talk to him, but the old man came out and hustled the boy into the house. Then he started showing us out. Oh, it's his trouble. Told us it was our job to find his wife, not to go prying into his stepson's affairs. Mm-hmm. It's a new slant. Well, how about the woman's friends and relatives? They've been checked out, you know? Walsh is on it now. Don't think he's had much luck contacting him so far. I'll tell you the truth. I don't like the looks of it. Mm-hmm. Mrs. Abbott have any other relatives here? I mean, besides the sister and two aunts? Yeah, I got the list right over here. Sure wish we had a chance to talk to that boy. Notice anything else out of the way about Mr. Abbott now? Well, I don't know. Here's that list, Joe. Oh, thank you. Abbott was upset all right. I don't know, though. He didn't exactly strike me as reacting the way a normal man reacts when his wife's disappeared. Well, how about a copy of this report? You got one to spare? Yeah, sure. Just a minute, yeah. Missing persons by Getty? That's right. This is by Getty speaking. Who's that? Oh, yeah. Yeah, sure. About what? All right, good. Four o'clock? Fine. All right, son, goodbye. Well, that was the boy I was telling you about, Mr. Abbott's stepson. What do you want? He wants to talk to a sounded worried. About his mother? He thinks something's happened to her. In police work, missing persons detail is not a department separate in itself. It's organized as a part of homicide division. When the possibility of homicide arises in the course of handling a case, missing persons immediately turns the matter over to homicide officers for investigation. When we got the call from the Abbott boy, we automatically took over. According to Al Bargetti, the boy said he suspected his stepfather and he didn't want him to know of any meeting between him and police officers. At 315, Ed and I left the office and drove to the meeting place designated by the boy, the Dairyland Fountain and Coffee Shop near the corner of Fairfax and Hollywood Boulevard. We got there at 3.50 PM. At 8 minutes past 5, the Abbott boy still had not arrived. We waited another 15 minutes and then we left and drove out to the valley and pulled up in front of the main gate to the Abbott nursery on Balasco Road. The house itself was set well back on the property which covered about five acres of ground. The entire nursery was surrounded by a six-foot chain link fence and it looked like every available foot of ground inside was planted with some kind of flower or shrub. Mr. Abbott met us at the gate. He had three full-grown mastiffs with him. He held him on a chain. Yes, what do you want? Police officers, you, Chester Abbott? That's right. What do you want? If you can get those dogs fired for no reason, I'd like to ask you some questions. Pretty busy now. Can you come back tomorrow? No, it's important, Abbott. We'd like to talk to you now. All right, if you have to. Hey, it's time. Get down now. You do go. Quiet, now. I said quiet! All right. Now, what do you want? Mind if we come inside, sir? What? Dogs are minding pretty vicious. We can talk here at the gate. All right. We've been assigned to look into your wife's disappearance, Abbott. This is my partner, Sergeant Jacobs. My name's Friday. Find out anything about my wife yet? Nothing definite, no. I thought maybe you could help us. Mind telling us exactly what happened the night she disappeared. What do you mean, what happened? Well, when did you see her last? When did you first notice she was gone? Well, we had dinner at 39, about 7 o'clock, and I laid down for a nap. Florence went out on the front porch for some air. I woke up a little 4-8 o'clock and went outside to look for her. She was gone. No one saw her leave, Mr. Abbott? Not that I know of. Maybe one of our neighbors, you can ask them. They seem to know everybody's business. How about your stepson? Wasn't he home Thursday night? Bruce? No, he went out to a show with some other kids. When did he get back from the show, you remember? About 10 o'clock, I think. Why? Where's the boy now, Abbott? Who are you looking for, my wife or stepson? Both of them. Where is he? Gone. I took him over to my sister's in Alhambra. He'd been feeling bad since his mother disappeared. Figures of change are doing good. Well, when did you take him over to your sister's? This afternoon. What's that got to do with it? I'd like to talk to him. No, you can't. It won't allow it. The boy's too upset right now, and I can't allow it. I'm afraid you're going to have to allow it, Abbott. Listen, mister, you can get off this property right now if you want to get fresh with me. No cops are giving me any sass. Get down there, honey! Quiet! Nobody's giving you sass. We want to talk to your stepson. That's all he might be able to give us a lead on the whereabouts of your wife. I say you can't see the boy. You've been looking for Florence for a week and you haven't found a thing. I'll get somebody else to look for her. It's my business anyway. Nobody else's. It's our business, if anything happened to her. What are you talking about? You better get your coat, Abbott. I'd like to talk to you downtown. Something's at gate. Now, let these dogs go.  What do you find to prove anyhow? What do I have to get downtown for? I'll tell you when we get there and I'll get your coat. Chester Abbott turned, made his way up the path and into the house. A few minutes later, he came out, closed the gate behind him, and got into our car. On the way back downtown, he talked pleasantly about the weather, the nursery business, and his dogs. When we got to the office, we found out the reason for his sudden change in temperament. His lawyer was waiting for us at the door. We tried to interrogate Abbott, but the lawyer objected to just about every question we asked. It was hopeless, and we knew it, and so did the lawyer. We released Abbott, but not before we got the name and address of his sister in Alhambra, where the stepson, Bruce, was supposedly staying. After Abbott and his lawyer left, Ed and I signed out of the office and drove to Alhambra to check on the boy. I'll get it. Sure had this one, tagged real sleeper. Yeah. Like now, the stepson missed that date with us this afternoon. The boy called us from the house. Stepfather could have overheard him. That's possible. Sister's house ought to be along this block, shouldn't it? Let's see. 1408. Oh, six, yeah. Yeah, there it is. Great cottage, 1402. OK, let's pull up here now. All right. Nice looking place. Well-capped, huh? Nice neighborhood. Wonder how a lot of prices run out here. Yes, what is it? Police officers, ma'am. You miss Abbott? Yes, hell on Abbott, why? Well, we talked to your brother earlier today, Miss Abbott. He said he brought his stepson, Bruce, over here to stay a while. We'd like to see him if we could. Bruce? Well, yes, he was here until about an hour and a half ago. I went to the store when I came back. He was gone. Any idea where we can find him, Miss Abbott? Well, I telephone my brother, Chester, just before you came to the door. Bruce isn't there. Yes, ma'am. Do you mind if we came and looked around, Miss Abbott? It won't take long. Well, why? I told you Bruce isn't here. It's the truth. There's no reason to lie about it, is there? Well, no, ma'am. It's not that. Well, then what is it? No reason for me to lie to you? How about your brother? We went in and looked the house over from one end to the other. There wasn't a trace of the boy. We drove back to the Abbott nursery and satisfied ourselves. The boy wasn't there. Meantime, the home of Chester Abbott's sister in Alhambra was kept under constant surveillance. No one came or went. The next morning, when Ed and I checked in for work as usual at 8 AM, we met with Sergeant Al Barghetti. Well, I had half an idea there might be something wrong. What makes you so positive, though? Let's just do it. Oh, we're not positive. It's the whole setup, I guess. Mel's been. How do you mean, for instance? Well, Abbott's lawyer, for one thing. If a man's innocent, he doesn't have his lawyer sit with him and tell him not to answer any question. Yeah. Number two, the kid's phone call. He didn't show up for that date. You figure. I don't know. Could be he doesn't get along with his stepfather. Happens, you know. Maybe he's trying to get back at him for something or other. Yeah, that could be him. Why is Abbott hiding him out then? Pretty sure he's hiding him out? Well, if things have been going, another way to take it. Mrs. Abbott walked away from her home last Thursday night. Nobody saw her. She took nothing with her. No luggage, no clothes, no money. That's it. You checked with her family doctor? Yesterday, told us Mrs. Abbott was in perfect health. Checked her bank statements, double-checked the names for wanderers, file repeaters, found missing persons. Couldn't find it in either one. Her relatives, too. How you talk to them? Some of them, yeah, hell. Got a few more to check out this morning. One thing's certain, no clothes, no money, no luggage. She couldn't have gone very far. You checked all the angles, huh? Sheriff's office, the jails, the hospitals, sent out a teletype and an APV. It's been gone almost a week, and nobody's seen it. How's that add up to you? Well, they got an idea. I hope I'm wrong. 8 45 AM, Ed and I left the office and continued making the rounds of the missing woman's friends and relatives. We checked at the Western National Bank where Mrs. Abbott maintained another account. Her saving statement showed a total balance of $31,564.17. Her checking account had a balance of $842.71. At the farmer's mutual, we found the record of an insurance policy issued to Florence Trumbull Abbott. It was a 20-pay life policy covering the insured in the amount of $30,000. The beneficiary was listed as the insured son, Bruce Trumbull Abbott, if living upon receipt of such due proof, if not the insured's husband, Chester J Abbott. For the time we finished checking the missing woman's financial status, we figured we had a fair suspect and the husband, Chester Abbott. From casual reports, we knew he was a frugal man almost to the point of obsession. If he was greedy as well, if he wanted or needed money badly enough to kill, then he had all the motives necessary to murder his wife, maybe a stepson too. 6.40 PM, Ed and I drove back to the office. Go ahead. Long day, out of mileage. Wonder if Al's still around. Hey, Bargetty. Al? Yeah, here, is that you, Friday? Yeah. How'd you do? Get anything? A few things, pretty fair luck. Good. I got some more for you. Just walked in here 10 minutes ago. Oh, yeah. Bruce Abbott, he's waiting in the next room. We went into the next room and met the Abbott boy. He was small for a 17-year-old, dark-haired, thin, a little on the sickly side. He seemed nervous and upset. He told us that he wasn't able to keep the date he made with us on the phone because his stepfather did apparently overhear the conversation and drove the boy immediately to his sister's place in Alhambra. We asked the boy what made him so sure that his stepfather was responsible for his mother's disappearance. Well, for one thing, all three of us usually go to the early show on Thursday night, Chester, Mom, and me. But last Thursday, we didn't go. Why was that, son? Chester said he wasn't feeling too good, and he wanted Mom to stay home and take care of him. Then he told me to go on ahead of the show, so I did. What time did you get home, Bruce? About a quarter to 10, 10 o'clock. Did you notice anything unusual when you got home, son? Not so much, no. Mom wasn't there. I didn't think much about it then. I thought maybe she was over to one of the neighbors. You asked your stepfather where she was? Uh-huh. He said he didn't know. He said he thought she was over at one of the neighbors, too. What was your stepfather doing when you got home? Just sitting in the living room, reading a paper. I usually don't talk to him too much. I just ask him where Mom was, and he told me. And then I went back to my room and went to bed. You noticed anything unusual about the way he acted? Anything different about him at all? Well, I'm not too sure. He did seem a little nervous, though, jumpy. More than usual, I think. Uh-huh. Anything else? Well, when I came through the front yard, I noticed the dogs had mud all over their paws, Red, Jaime, and George, all three of them. They must have been out in the nursery plots. Anything unusual about that? In a way, yeah. You see, the dogs don't go out in the plots unless Chester's with them. He doesn't want them to trample the seedlings. I noticed Chester had mud on his shoes that night, too. And you figured your stepfather was out digging somewhere in the nursery plots that night, huh? Yeah, that's right. Digging somewhere. He must have been. Can't figure out why, though. What do you mean, son? My stepfather never works at night. You are listening to Dragnet, authentic stories of your police force in action. Compare Fatima with any other king-size cigarette. One, Fatima's length filters the smoke 85 millimeters for your protection. Two, Fatima's length cools the smoke for your protection. Three, Fatima's length gives you those extra pups, 21% longer than standard cigarette size. And in Fatima, you get an extra mild and soothing smoke plus the added protection of Fatima quality. To show our confidence in Fatima, we make this money-back guarantee to every king-size cigarette smoker. Buy a pack of Fatimas. Enjoy Fatima quality, extra mildness, and superbly blended tobaccos. If you're not convinced Fatima is better than the king-size cigarette you're now smoking, just return the pack and the unsmoked Fatimas before August 1st, 1952, and we'll give you your money-back plus postage. Fatima, box 37, New York 1. Remember, each king-size Fatima gives you an extra mild and soothing smoke plus the added protection of Fatima quality. Switch to Fatima today. Best of all, king-size cigarettes. Thursday, September 16th, 7.05 p.m., we continue talking to the missing woman, 17-year-old son, Bruce Abbott. As the interview went on, it became more and more obvious that the boy and his stepfather, Chester Abbott, didn't get along at all. Apparently, the boy was jealous of him and he was jealous of the boy. Besides his prejudice, Bruce also contradicted himself during the course of the questioning. 7.15 p.m., the interview went on. I understand that all right, son, but you say you can't think of any reason why your father'd be out working the nursery plots that time of night? No, sir, I can't. I don't know how he'd get any work done. None of the plots are even lighted, only the greenhouses. Well, it possibly could have gotten that mud on his shoes working in one of the greenhouses. No, sir, I don't see how. All the paths in the greenhouses are gravel. It's my job to see they're kept gravel. I know they weren't muddy because I fixed them the day before. Well, what do you think it means, Bruce? I don't know. I don't want to think about it. I just know he's done something. He's done something to her. Your father, that is your stepfather, give you any reason for keeping you away from the police officers that came to your house? I mean the first two officers who showed up? No, he said people were getting nosy, that's all. He said it might be better for me over at my Aunt Helen's place. Do you think your Aunt Helen might know where your mother is? I don't think so. We hardly ever see Aunt Helen. We don't know her well at all. Well, do you know if your mother and stepfather argued very much, son? I mean, big arguments. Sometimes, yeah, mostly about me. What do you mean? Chester's pretty tight, you know. Doesn't like to spend money at all. He and mom used to argue about whether I ought to get paid for the work I did around the nursery. Chester didn't want to pay me. That's all. Yeah, when I started working, he promised he'd pay me. I was saving up to buy a 31 Model A. After a couple of weeks when he didn't pay me, I asked him about it. He told me I ought to be glad to work for him for nothing.  Sure, she got good and mad, too. She should have gotten mad. It was her money that bought the nursery anyway. How'd you happen to get away from your aunt's place, Bruce? It wasn't too hard. Helen had some shopping to do and she left me alone. She locked the door to my room. Even the screen over the window was nailed down, but I kicked it out and got away. I stayed at a friend's house last night. You thought much about where you're going to stay tonight, son? Well, I don't know. Sergeant Berghetti, I was talking to him. He asked me if I wanted to go out and have dinner and then stay at his house tonight. And I don't know. Sounds like a good idea to me. I don't know. Sure nice of him to ask me. I think it'd be a lot better for you, son. Why don't you check in the next office to see if Berghetti's ready to leave, huh? Yeah. OK, Sergeant, thanks. Sure, you betcha. Joe, what do you think? It's hard to say. He might be lying. Before we signed out of the office that night, we met with Captain Warman and outlined a plan to bring in the husband of the missing woman for questioning alone. We figured it had served two purposes, clarify the boy's position in the case, and determine one way or another if the stepfather was withholding information about the disappearance of Mrs. Abbott. The big problem was to bring in Chester Abbott for interrogation without the knowledge of his lawyer. As we'd found out more than once, it was impossible to get anything out of Abbott with his lawyer present. We set up a plan to call at the Abbott home early in the morning, get the suspect out of bed, and bring him in before his lawyer could be notified. At 3.30 the following morning, Ed and I met at the office and started for the Abbott place. We brought along a couple of pounds of fresh horse meat to keep the dogs quiet if they raised a fuss. At 10 minutes past 4 AM, we parked our car a few hundred feet down the road from the Abbott nursery and made our way toward the gate. I reached in and tried to relax. The dog started up. How about it, Joe? Open? No, it's padlocked. We're going to have to climb the fence. Toss some of that meat over to him, will you? OK. There. That does it. All right, let's climb the fence. Keeping an eye on the hounds looks like they could take a leg off. Yeah. Take it easy, Ed. All right. Watch out. Here comes that other dog. Get some more of that meat ready. Yeah.  Go get it. Come on. All right, that's fine. Come on, let's hurry. Have a look, Joe. Windows along the side of the house, lights just went on. Yeah, come on. Who's there? Who is it? I'll set the dogs on you. Police officers, Abbott, Friday and Jacobs. What kind of business is this? What are you doing out here this time of night? You're under arrest, Mr. Abbott. What are you talking about? I think you heard me. You're under arrest. What kind of crazy thing is this? You're going to pay for this. I'll have your jobs. You want to get your coat? Your cops are asking for a pack of trouble. You know that. Get your coat. I'd like to know what you think you're doing. Where's my stepson anyway? What have you done with him? I got a better one for you, Mr. What have you done with your wife? 425 AM. Ed and I drove the suspect, Chester Abbott, back downtown to the office. He was quiet and sullen. We headed down the hall for the squad room. Lights still burning in the office. Now, probably by Gettys standing by. All right, Abbott, in there. You're going to pay for this. You can take my word on that. Ed, you want to take him in the office and stay with him. I'll check with Al. OK. All right, Abbott, inside. Joe, you bring him in? Yeah, he's next door. Ed's with him. Tough. Somebody must have seen you. No, I don't think so. They must have. Why? What do you mean? Abbott's lawyer. He's sitting in the next room. Now, the lawyer had been notified. He couldn't be sure. Again, we tried to question Abbott. And again, on the advice of his attorney, he refused to answer practically every question we put to him. We released him. That day, Captain Norman assigned two men to stake out on the nursery and report on all of Chester Abbott's movements. A little after 7 PM, just after ninth fall, we tried again to bring the suspect in for questioning without his lawyer's knowledge. It didn't work. The men assigned to stake out on the Abbott place reported definitely that someone was tipping off the attorney whenever unknown visitors showed up at the nursery and drove off together with Mr. Abbott. There was nothing we could do about it. The following morning, Al Barghetti came up with a lead. Had a long talk with a boy last night. Think he came up with a pretty fair lead. How's that? The old man's responsible. We know there's only one way we'll get a conviction. Find the body and enough evidence to tie him in. Yeah, well, where do we start looking? In a new rose bed, it's next to one of the greenhouses in Abbott's nursery. Boy telling this? Yeah, seems to make sense. We know old man Abbott's crazy about saving a dollar. We found that out from the neighbors and the relatives. On the nursery trade, especially in the limited area Abbott has to work in, you cultivate every foot of ground you have. You plant every foot of soil with something. Well, yeah, what's the point? Well, Abbott's not the type to waste anything. He wouldn't let ground lie fallow when he could plant something that might bring in a few dollars next spring. Bruce tells me a stepfather has every inch of the property planted with something. Everything except the six by eight plot of ground in that rose garden. Well, what did the boy say? A plot been vacant for a long? Well, he says his stepfather got it ready for planting. A week and a half ago, it's still vacant. Be worth checking out. How do we do it? We can order up a crew from the crime lab. They can take probings through the plot all around it. They ought to be able to tell us how deep the ground's been worked over lately. OK, what do you figure tonight? I think so, yeah, maybe 11, 12 o'clock. What about old man Abbott? Do you think he's going to sit still for it? The hunch pays off.  It was 10 minutes past 11 that night when we got to the Abbott nursery. Lee Jones and the crime lab crew, Albert Getty Ed and two other men from homicide. The men on stakeout told us Chester Abbott, along with his attorney, had left the house a half hour before in his car, a dark blue coupe. They hadn't returned. Ed brought along another supply of fresh horse meat for the dog so he didn't have any trouble there. We located the vacant plot of ground in the rose bed next to one of the greenhouses as Bruce Abbott had described it to Bargetty. The crime lab crew started probing. The ground, obviously, had been worked over recently. And to some depth, they started digging. Anderson, get that light over here with you. Thanks. Joe, see anything? No, let's keep digging. It's right over here. Yeah. You know, this is it. He wasn't taking any chances. Down a good four or five feet now, wouldn't you say? Yeah, at least that. Anderson, more light, huh? All right, let's go at it. All right, wait a minute. Yeah. Woman's shoe here. Come on. Chester, better. Yeah, that's it. Shoulder there, it's a body. Well, it paid off, Al. The boy had it figured. Yeah, too bad he was right. Ed and I went back to our car and notified communications to broadcast a warrant for murder on Chester Abbott. His description together with the description of his car and license number was rebroadcast every 15 minutes. The attorney was contacted and he stated that Mr. Abbott had dropped him off at his home more than an hour before. He knew nothing of his whereabouts. Ed and I went back to check the Abbott home and found the front door unlocked. We went inside and looked around. In one bedroom, we found clothes scattered over the bed and on the floor. There was only one old suit left in one closet. On the table next to the bed, we found an airline's timetable. We got to the phone and notified communications to alert all special details at railroad stations, bus terminals, and airports, and then to get out an APB. After that, we checked with the airlines. One of them told us a man answering Abbott's description of the book passage to Mexico City that night under the name of Charles Frazier. The plane was scheduled to leave at 1.52 a.m. at the Burbank Airport. We called the detail at the airport and alerted him. Then we drove over to the field to follow through on it. It was 1.32 a.m. when Ed and I took up our positions just inside gate three where passengers were boarding Flight 72 for Mexico City. There was no sign of the suspect either on the plane or in the waiting room. Thank you, Phil. I don't know. Walk your bag over here. Where's Baguetti? Over there, mother cocktail line, sim. Oh, yeah. What time you got now? 1.38. Plane's due to take off in another four minutes, isn't it? Mm-hmm. Any sign of him now? No, nothing. Just made the rounds. Check with Stevens and Cummings if he got in. He came in somebody's suitcase. Couldn't have possibly gotten through without one of us seeing him. Well, well, he hasn't got much more time. Maybe it's a dead end, huh? You don't see how he could have gotten wise to you. Over there. No, no. By the ticket counter there, you see him? Yeah. That's him. Come on. All right. All right, just a minute, Abbott. I haven't got time now. I'll miss my plane. If you have anything more to say to me, it can wait till I get back. Right. Not, Abbott. And take it up my lawyer. I'm in a hurry. We found your wife's body. How's that? In the rose bed next to the greenhouse. I don't know what you mean. You must be mistaken. No mistake. Hands behind your back. What's this all about? I haven't done anything. All right. Let's go. No. Just a minute. You got it wrong. I don't know anything about it. We think you do. Now, come on. Wasn't my fault. I didn't know what I was doing. I plead insanity. She drove me to it. We were arguing about the boy and she slapped me. I didn't mean to do it. All right. Let's go, Abbott. Can you wait just a minute more? What for? A plane. One from Mexico City. Funny, isn't it? What's that? I was so close. Just missed it. I'd buy more in one minute. No, you're wrong about that, Abbott. Just one minute. That's all.  How do you figure?  Come on. What you have just heard was true. The names were changed to protect the innocent. On December 19th, trial was held in Superior Court, Department 89, City and County of Los Angeles State of California. In a moment, the results of that trial. Now, here is our star, Jack Webb. Thank you, George Phenomenon. Friends, I'm holding two sets of fingerprint cards. Now, on one, prints found at the scene of a crime. On the second, a suspect's taken from the files. Now, the only way in the world you can tell they're made by the same suspect is by comparison. If you'll compare Fatima with any other king-sized cigarette, you'll find Fatima's length filters the smoke, 85 millimeters for your protection. Fatima's length cools the smoke for your protection. Fatima's length gives you those extra puffs. 21% longer than standard cigarette size. And you get an extra mild and soothing smoke, plus the added protection of Fatima quality. Prove it today. Bye, Fatima. ["Battle of Fatima"] Chester Vernon Abbott was tried and convicted of murder in the first degree. The jury failed to recommend clemency. Abbott was executed in the lethal gas chamber at the state penitentiary San Quentin, California. ["Battle of Fatima"] You have just heard Dragmit, a series of authentic cases from official files. Technical advice comes from the Office of Chief of Police, W.H. Parker, Los Angeles Police Department. Technical Advisors Captain Jack Donahoe, Sergeant Marty Wynn, and Sergeant Vance Brasher. Heard tonight were Barney Phillips and Herb Ellis. Script by Jim Moser. Music by Walter Schumann. Hell, give me speaking. Fatima cigarettes. Best of all, king-sized cigarettes has brought you Dragonet transcribed from Los Angeles. Now it's Counter-Spy on NBC.


What's up guys and welcome to Trendy Updates upon SPM Buzz. Now unto the trending news today is musician Jua Kali who has apologized to comedian Jugush for saying that he is not funny. Now this is a story that has come about because during the weekend there was a conversation online and people were asking who is your favorite stand-up comedian? Na Pali Jua Kali alieza kukomenda na kandika Pali Jugush ni boiwangubat hakuna comedian hapo not funny at all. Now we all know that Jugush and his wife Celestin have been performing in Australia during the weekend and they had shows back to back. Na ilikuwa ni TTNT 4 out of 4 shows and baiwa alieza kufanya this year on TTNT 4. Na wali puma alieza Pali, uno jo ato alikuwa na post Pali comments na nandoma na sasa ili story as stand-up comedian Ikato Kaya. Now that comment by Jua Kali has ensued a lot of drama online sobabu ma fans wan Jugush wana se maapa na kama mulewi wacheni alafukuna ma fans naiwa Jua Kali wana kubaliana na iyeye. Now I'm going to be reading some of the things ambazo Jua Kali ameza kusema kwa hi apology statement amba ameza kuposto Pali kwa social media ameandika ni mekuwa huge fan of a stand-up comedy as an art from ever since nio ne the great Richard Eddie Murphy and the likes. Na ameza kusema stand-up comedy comedians have a huge team of dope writers ndi o special ikuena structure. Akasema examples of dope writers wale na wadiwani why why end up butita. Na akasema I am the one that encourage butita to do one hour specials when we were on a flight to Dubai a few years back. Ameza kusema creating content ya one hour constantly siyo rahisi stand-up comedian should be very clever witty and think jokes on the fly. Na kumali zia pali aka se ma fans wanjugush nanjugush pole ni sana. Kama yo tweet ilikam out hash hiyo haikuwa intention napenda skits zanjugush ni vile tu stand-up ni ball gaming ine noma but pole pole with practice jugush will become one of the greats. Aka malizi apale kusema but done right apukuna dough kuru if we put our heads together to tata boh. And that is what Joakali has been able to say in regards to apologizing to njugush for saying that he is not a funny comedian. Now wa sanipi wameza kujibu I just respond and give a sentiment in regards to this conversation. Na mana bald man, bie ni amunye wa palisa utisola me seman jugush ako too sour. I have nothing but respect for this man and his wife. Legacy over everything. Alex matengena yameza kupost at postpale instagrama kandika. Joakali you are my boy. Stick to criticizing people of your age wa zeh wenzako. You can't be 50 years and still look for relevance. Aka mwambia the people you're criticizing are barely 30 years. Aka sema pia if you want to criticize comedians that talk about mama kayae on dieko Joang o Alexander and others who are of your age. Njugush is a role model to his generation. Uyo ni comedian Alex matengepi yameza kukomenta paale. Nikiyeza kusama komenta team Mushiri seiza tulisema akuna negative energy towards the end of the year. Lafu iyan Timona says that people really downplay how hard it is to go to foreign countries and sell out shows. Big up to njugush even a prime a Joakali would never sell out a show in Australia. Six slats anasema no one has anything against njugush by the way. Arapu kwa stand up na yo to sija danganyane boana. Mis musahu seiza to be honest when you're friends with someone you don't demean their hustles or friends support each other. Kuna tito memes anasema nabongachafu nangomazake zimechukua 2 months kufika 500 views guys. Agresena anasema Joakali nakamisi se mozap Waleisha. Come on. Anajuli kana kama Tommy Mola anasema people doing lesser than you will always talk about you. Let us know down on the comments section what are your thoughts about a Joakali apologizing njugush over the sentiments that he made earlier on during the weekend. But in the meantime, keep it trendy updates hapa SPM buzz.


Live from Midtown Manhattan, the Cube's live coverage of Big Data NYC, a silicon angled Wikibon production, made possible by Hortonworks, we do Hadoop and WAN Disco, Hadoop made Invincible. And now your co-hosts, John Furrier and Dave Vellante. Okay, we're back here live in New York City for the Big Data NYC event. We're here live. We're getting all the action in New York City, at Hadoop World, Stratoconference, all happening this week, a lot of action. This is the Cube, our flagship program. We go out to the events, extract the signal from the noise, and talk to the thought leaders, talk to the pioneers, talk to the entrepreneurs, CEOs, customers. Get that data, share that with you, and want to thank all of our supporters out there for the Cube. We really appreciate it. I'm John Furrier, John Furrier and Dave Vellante here in New York City. Our next guest is one of my favorite guests of all time on the Cube, one of our top tech athletes, as we'll see. I'm our Iowa dollar co-founder of Cloudera. Welcome back. You've been on, I've been in the Cube so many times. You're up there with Pat Gelsinger and all the other tech athletes, but we did an interview back years ago, three years ago, when you were kind enough to let Silicon Engels sit in the Cloudera space when you had like 30 employees. You said a quote to me, I'll never forget, it was really epic quote. You said, I started Cloudera, I started Cloudera because when I was at Yahoo, when I was doing my work as an entrepreneur, I saw the future, and I wanted to create the future. My first question to you is, it was right, the future is here, and the validation here at the Duke World this year is really complete validation for the Duke. You've seen the maturation, the grounds hardening around certain areas, certainly the data platform, the data hub, as you guys are announcing, is the modern platform. It's happening, customers are adopting, it's not just POCs, it's scaling. So I got to ask you, how do you feel about that on a personal level, and then your observations here this week, given the history? Yeah, so obviously I feel great. I mean, absolutely right. I mean, in our pitch to investors back then, again, all of us, I'm one of the founders of Cloudera, there's a number of us. So yeah, we would go into the investors and we'd say, it's back to the future. I mean, we're coming from the future, being at companies like Yahoo and Facebook and Google, we saw the future, we saw what it looks like. And we came back with, what was the name of the car from back to the future, the DeLorean? The DeLorean. We came back with the DeLorean, and we're telling you, this is how it's going to be five years from now for everybody, not just for web companies. Web companies just happened to be at the tip of the iceberg. They sold first because of their businesses all being done on the web. But everybody, all of us across industries, we are moving bigger chunks of our business to be running online, right? We're moving more of our business to be running within servers. And we're instrumenting bigger parts of our business with new sensor networks, with GPS equipment, with RFID tags, et cetera, et cetera. So we are more sophisticated than ever in terms of data collection. And it doesn't take you a lot of genius to figure out that, that means you're going to have a mountain of data. And that means you're going to have many different types of data, which would require this kind of system. Yeah, and it's interesting. We also, years ago, when you were actually at Yahoo, when I last started a podcast, we did a podcast. You were one of my first guests there too. And one of the things that I noticed about your background, and your unique insight with the Facebook and the Google co-founders in Yahoo was, you also have a background in virtualization, and obviously you're gaming this. But there's also a lot of physical infrastructure behind the scenes of big data that you had a window into. Hence, the virtualization trend is now exploded. So that also plays into it. So you have this confluence of big trends, right, that have happened at the infrastructure level. And then certainly, obviously, with Hadoop and storing data and making it accessible. How does that relate in this? Because we're hearing enterprise ready as a key theme. You guys have enterprise edition. Absolutely. So talk about the confluence of this software-defined data center concept that's being promoted heavily out there. And what does that mean to the folks out there in the big data community? Because that's under the hood, right? So there's a lot of action on top of the convergence. What's your take on that infrastructure for customers and the industry? Yeah, we're starting to see the intersection of big data and virtualization take place. So we're starting to see the first signs of that. In fact, a story that we also discussed back then when we talked the first time is how Cloudera, we changed our business model, actually, of what the company does. Our name is Cloudera because the initial pitch, the initial business model that we were going to do is build a cloud service where our customers can upload their data to the cloud, process the data, and then load the results. So we were going to be a cloud business since the name Cloudera. But then very quickly, we start realizing that, no, what most companies want to do, they want to be able to deploy these technologies within their enterprise. They don't want to move their data outside of their body. Actually, we would say that data is like blood. Data is like the blood that flows within the veins of the enterprise. And just like humans, nobody wants their blood to be outside of their body. We want our blood inside of our veins. Now, and that's why we didn't see big data moving into the cloud or moving into virtual environments per se as well. That's starting to shift. We're seeing a shift happen now, where enterprises are getting more comfortable moving their data into virtual environments and into the cloud. It's just the beginning, just beginning to happen. And hence why we announced all these partnerships over during this conference with companies like Verizon Enterprise, IBM, SoftLayer, T-Systems. And there's not a key one I'm forgetting right now, but that's OK. Pretty much everybody. Yeah, pretty much everybody. Yes, I already worked with Amazon. Yes, server-centric link. Thank you. That was good. We're paying attention. We're paying attention. So you don't have to change your name to On-Premesa. Yeah, exactly. On-Premesa. So we're not going to do On-Premesa. We're going to stay with Cloud Era. And essentially what we're saying is, yeah, we're enabling essentially selling the tools that enable you to have a big data platform running On-Premes. On-Premes on virtual infrastructure with VMware or OpenStack is the other standard we're supporting. And in the cloud with the number of vendors. So that's how we see the future. I know you were customer meeting, so you didn't see all of Mike's keynote, but I think it was he who made the point that way back when we started Hadoop World, we talked about the sort of fundamental change in mindset of keeping the data where it is, shipping the code, et cetera, et cetera. So essentially that's not problematic that the customers have a lot of data. Because the point was once you get a petabyte of data, you don't want to move it.  Great, and you want to do more stuff in the cloud. How will that sort of migration occur? You won't move the data, you'll just start doing more external analysis in the cloud and you'll have a federated data structure. Is that what's gonna be- You will hybrid the future, the future will be hybrid. I have no doubts about that. There's some organizations that care a lot about security and care a lot about high performance, super high performance. So you can see that with like special financial institutions or medical companies where for them it would be very hard to move the data into the cloud. So that might not happen for them, for all of their data. But I think the majority of enterprises will have a hybrid environment where either new projects will launch in the cloud or the older data will get moved to the cloud. So you're absolutely right in that data movement is expensive and both in terms of bandwidth but also people time spent. But over time that will get better. So is it the case today that a lot of the action is with super large companies, financial firms, big government agencies, et cetera. And this just opened, the cloud opens up the door for the little guys to now compete with the big guys. And it's always the story with cloud, right? Absolutely, so yeah, for a new company and you start up a new business, they just start in the cloud. And that's very natural for that to happen. Obviously the question mark, the big question mark we had is the big businesses that really have been around for tens of not hundreds of years when they start shifting their data into the cloud. And that's what we're starting to see happen. Yeah, we've had some interesting talks around the whole security meme. And there are a lot of people believe that security in the cloud is going to be better than security in the vast majority of enterprises. I am one of those believers. But I am too, but if the customer doesn't believe it, I guess it doesn't matter. But do you see that perception changing? And especially on Wall Street, I don't see it changing, frankly. But other parts of the, other industries you do see it changing, would you agree? Because it goes back to skill sets. It's very hard to hire the kind of skill scouts that can guarantee the security levels that you care about. So companies like Amazon, Google, they're able to hire essentially the top security experts in the world. Now a lot of the financial institutions, they have the top experts in the world when it comes to security. And they have much more stricter requirements on not just electronic security, but physical security. Like who moves into, who can actually go into the cage inside of the dissenter, scanning their fingers and doing full background checks on them and so on. And they just have levels that are way higher than what Amazon or Google can provide today. And they value that as part of their core assets. So that's why we don't see them shifting. But for the majority of other enterprises, yeah, of course, Amazon can do much better job at security than I can. So that's absolutely part of this movement. So there's no question about that. So the other piece is, I remember you and I talked, there was several strata's ago, but there was virtually no competition for you and all of this competition, which is great. It's what you expected, I'm sure, because of this huge, huge market. But one of the other things that when competitors early started to come in, they said, well, we're going to make a dupe enterprise ready.  He said, it was kind of off-putting to you. I could tell that. Well, we know a little bit about making a dupe enterprise ready as well. So you've been marching down that path. Ultimately, it's turned out to be really good for the customer, right? So where are we in the state of a dupe being enterprise ready? Feels like it's there. I think the proof is in the pudding. I mean, we have customers today running Hadoop in production environments mission critical 24x7 for two or three years. Ready. If that's not enterprise ready, then what is, right? I mean, we have very large enterprises, portion 1,000 companies running this system in mission critical production environments. What is the definition of enterprise ready if it's not that? Yeah, all right. You can talk about scale and security and blah, blah, blah. It's that. It's that. It's the proof is in the pudding. Can you actually do it? Did you do it? For how many years did you do it? And I think we have all of these check marks. So that's how I look at the, to answer the question. I want to talk about the platform side of it. Obviously, platforms are OSs. I mean, as we talk about a data operating system, you know, whether you're looking at it in the stack, it's a data fabric, whatever you want to call it. But what you guys just announced with the data hub essentially is an operating environment, right? You decoupling map reduces all kinds of yarns out there. Different elements are coming in that can be, I don't want to say plug and play, but they're highly cohesive elements. And a lot of those white spaces that we've talked about over the years are filling in. You're seeing real time now developing fast machine learning, a lot of cool tech is coming in. So give us your vision on the data platform, the data OS, the data hub that you guys have rolled out for the industry. I mean, there's a vision of what it should look like in a preferred state of harmony, because the growth is off the charts. If people want more, they want more Hadoop. They want more integrated into either existing systems. You see SAP playing, here you see others coming in. So Hadoop is here. So how does that data platform, that OS look like? Yes, thank you for that question. That's an excellent question. So first, again, to give another aspect of how we predicted the future, if people were to go to YouTube right now and search for the word Hadoop, just search for the word Hadoop on YouTube, one of the very first videos that we'll show up is one of my talks from a number of years ago where we said where we're gonna be. We describe the data operating system, we describe that's gonna be about how many applications will come into this ecosystem. So the way we look at this is, there's an existing market called the EDW market, the Enterprise Data Warehouse Market. We are saying now there's a new market called the Enterprise Data Hub Market, EDH, right? So there's EDW, there's EDH. Us, Cloudera, being the very first leaders of this movement, we are naming that. That is the name of our market, the market that we're in, as Mike shared in his keynote yesterday. So again, then comes the question is why do we need an EDH when we already had an EDW? What's really different here? And the energy I love to use is, an EDW is like a digital SLR camera. You know the digital SLR cameras have very big lenses and they can take really good pictures. So what an EDW can do is take really, really good pictures, meaning it can run queries really fast. It's a bit pricey, but it's really good at doing that. However, it's the only thing it can do, just like the SLR camera. An SLR camera can only take pictures. Okay, maybe it can take videos too, but that's it. The vision for the EDH on the other hand, the EDH, the Enterprise Data Hub, is more like an Android device or an iPhone, right? More like an Android device, given the open source nature of Hadoop, it's more like an Android device, I guess. So an EDH can take pretty good pictures, right? It can take pretty good pictures. However, the EDH pictures won't be as good as the SLR camera, just like the iPhone pictures is not as good as the SLR camera, but they're very good and they're at a much more economical price. In fact, if you were asked a lot of people in a room to raise their hands if they took a picture with their iPhone versus an SLR camera, the majority will say we took a picture with an iPhone or with an Android. However, the only thing that the main thing that differentiates an EDH is that the EDH is not just about taking pictures. It can do many, many other things. It can take pictures, but it can also run interactive queries. It can also do search. It can also do machine learning. It can also do statistics, et cetera, et cetera. It can play songs. It can run ads. It's important to know that you're referring to the data warehouse. Taking the metaphor back to the smartphones. Exactly. Yes, some of the apps will come for us. Other apps will come from companies like SAS now run inside of the platform. Splunk has HUNC, I don't know if you guys hear it. Yeah, you know the HUNC, right? So HUNC now runs in front of the platform and Informatica now runs inside the platform because we know some apps will be good at building, but the majority of the apps will not be, we will not be good at building. So I love this analogy, because you asked the question, if you have an EDW, why do you need an EDH? And then the flip side of that question, if you have an EDH, why do you need an EDW? Your answer answered that. Yes, because for some pictures. But I always say, the reason I love that is because I say which business would you rather be in? The SLR business or the smartphone business? And I guess for you, obviously, the smartphone business, but it does depend, right? Because some people who are in the smartphone business but they're not doing that well, so... Well, I think the analogy is the... The EDW business may be a safer place with good cash flow. So I'll let you do the projections into the future. I'll let you do the projections into the future. Oh, the projections are clear. The EDH market is going to be enormous and the EDW market is going to kind of go sideways for a long time. You can see from the attendance and the people at this event how big of the interest is, but we're still way at the beginning of this movement. We are kind of in the first year of when the iPhone came out. Consumer devices obviously can grow at much quicker rates than enterprises. Enterprise is doing major changes inside the architecture. It takes longer for that to happen. Now, the impressive thing about this movement is how quickly it is happening within the enterprise. Never within the enterprise has an infrastructure technology matured and evolved into how big this event is right now at this speed. It's just never happened before. It didn't happen with VMware. It didn't happen with Linux. With the Linux movement. It didn't happen with the database movement. Well, the interesting thing to me is that the average age of an enterprise app is like 19 years. There you go. And yet yet the value proposition for all this new stuff is so compelling that it's happening despite that. So I want to ask a question. We've got a little Twitter action here on the crowd chat. Someone said, I'm going to discuss and then I have another question. Omar, what curious, what mission-critical workloads are they running? Your customers? What examples of mission-critical workloads? Well, we just tweeted, hey, you know, three years, it's enterprise ready. You mentioned we have customers running it. What mission-critical workloads are they running? Like an example of a mission-critical workload. That's a good question. I should have been prepared to give an answer. The reason why I'm not prepared is we work with a lot of customers like big banks and big telecommunication companies that are very secretive about exactly what they're doing with the technology. Especially the ones doing the mission-critical workloads. But I mean, some examples that we use commonly is obviously we help the government today. We help the government in terms of predicting when the next terrorist event will take place or who is going to do that. So, I frequently would joke and say, I'm a victim of being, I'm from the Middle East and I have brown skin and I frequently would get stopped at airports just because I look this way. I would rather the government analyze my data and know that no, Omar is a good guy. He's not a suburb guy. So I would rather have that. Unless they look at me and Dave. We have the data on these guys. They're the bad guys. So that's just one way how our systems are being used in mission-critical environments to make it. So we'll get back to Jim.  I can mention use cases. Yeah, use cases of course, like in finance doing risk modeling for how we offer loans or how economies are actually going to be suggested to risk is a very, very key use case. For all detection in finance, so three of the top credit card companies, I can't say the names, but you can think who are the four top credit card companies. A few of those are customers of ours using this technology for doing fraud detection and detecting when a transaction is a fraud transaction or not. That's a very good example. One of the largest agriculture companies that essentially research new types of seeds that can grow in different environments under different conditions and temperatures is using this technology to come up with these new types of seeds. I would put marketing into that mission critical list. People don't generally think of marketing in real-time ads serving as mission critical, but it is now, because it's driving revenue. And if you're not there, you're not competitive. So that's mission critical today. Absolutely. Like, yeah, one of the most common use cases is doing all the analytics on Twitter and all of the online marketing, all the advertising happening. That's one very key. Hemabarka complains about it, but there's good things that will come out of that. Yeah, we are more proud of the use cases that are happening, social impacts, and that are changing our lives in a positive way, as opposed to use cases where it's just helping people. But maybe some interesting research will come out of that, some kind of socioeconomic. It's good for the economy, obviously, yeah. Of course. It adds the economy with lots of money. I want to ask another question. I didn't mean to get sidetracked on that, but Tim Crawford-Gudder has got his answer. You know we love search, we know we love discovery. That's kind of dear to our hearts. So the BI market, essentially the modern advanced analytics is essentially discovery-based.  So search concept is keyword search, essentially you ask for something, you get something back. But now, with big data, it's a lot of personalization. You're seeing personalization, you're seeing the persona of one, whether it's marketing for other detection. How does the discovery of data, serving the end user, what's your vision on that? Obviously, you worked at Yahoo, so you have experience in search, and you know a little bit about the old web search. In the modern discovery, where it's real-time, event processing, graph data, things of that nature, it's all new, what's your vision on that? So first I wanna lock on something very key you said, which is personalization. A very good, important, fundamental part of this movement is personalization. It's the fact that now, no longer will we, as companies, organizations, and governments, look to classify you as one of a group of people. Like, build a segment that you are a male in this age range, you live in this zip code, you must love to buy diapers, and I'll just make that up right now. So we tended to do that. That's the old way of doing things. What we are doing now as companies, organizations, sometimes we were right. Sometimes you would be right. Every now and then. Actually, most of the time you'd be wrong. Absolutely. Versus if you were really modeling what I armor here about, what I armor am doing, then you would come with the much better answer for me that will be right most of the time, and you'll avoid essentially upsetting me every now and then. So a big part of this movement is actually about that. It's going away from modeling segments of people, segments of products, to modeling every single thing. And actually, that's what's driving big data, is we're modeling every single thing. What's happening to my product, what's happening to my credit card transaction, is armor a terrorist or armor not a terrorist? That's really how... We're getting the hook here. I know you gotta go, but I wanna get you to address some of the tech that you see happening evolve. You've got some machine learning, you've seen some cool tech out there on the computer science side. What else do you see? What's your vision around? Some of the things that are gonna make this new discovery happen in this whole new way. It's not just crawling, pounding an index with a key where there's a lot more complexity involved. What vision do you have for that? Yeah, the key part going forward, the key part going forward is how can we bring all of these capabilities together? How can we do the search and do the interactive SQL and do the statistics on the same underlying data assets? That's gonna be the key. That's the key in the future. That's the key capability that now all of us as companies working on this enterprise data hub mission need to be focused on. So that spark, that storm, is that machine learning? What can you name some text that you're watching closely? It's all of the above. It's all of the apps. It's all of the apps that you can bring to your data assets. How do you bring them together with the common management layer, a common security layer and most important of all a common metadata layer that allow you to make all of these apps leverage your platform. Some of them is systems like Storm, which we announced, I mean, thanks. Sorry, Spark, and Spark allows you essentially to do data mining and machine learning. That's what Spark is really good at and we announced this partnership with Databricks. But just one of them. That's just one of them. It's not about that. It's about the whole. Again, it's going back to the- It's the totality of the ecosystem and the controllers. Exactly, going back to the power of the iPhone, the power of the Android devices is not that they can do maps. It's not that they can do calendar. It's not that they can do email and contacts and games. It's about that they can do all of these things in a holistic, unified experience. That is the future. That's the operating system, the data operating system. Love it. Amar Awadallah, great to have you on theCUBE again. We're proud, four years ago we did theCUBE when Dave didn't even hear about what Hadoop was. We came back from storage and came up and I made him like, you got to come to Hadoop world. What the hell's Hadoop? Four years later. How is Hadoop expert? They can't, we're like a tick. We're embedded in it. We're like a tick in the Hadoop ecosystem. We can't get rid of us. This is theCUBE. We're Amar Awadallah. Thanks for coming on. Thanks for your support. I was very appreciative of you guys and you personally for helping us out. Even four years ago, when you guys were 30 employees, how many employees now over 4,000? Almost, no, no, no, 500, 500. 500. Next year, 4,000. The new space looks good in Palo Alto. This is Amar Awadallah, co-founder of Cloudera visionary tech athlete friend theCUBE. We'll be right back after this short break.


Ka representative is the National Party? Because you've been a strong supporter of the LGBT plus community. How many LGBT plus members of your caucus are there? Look, tova, there is no one who is identified themselves at this point as LGBTI.


YouTube team keep it clean. What's going on is saying graven here with another video and in this video Something that we've been hearing about for really the past couple days Because the Broncos had been trying to trade safety TJ ward for the past couple days They've been trying to get them to somebody ship them off somewhere because they were done or they are done With his services.  So they finally did that I guess nobody bit on the trade bait. So the Broncos say, you know what TJ you're out of there Thank you for your services, but you're going So that's that TJ ward is officially he's gonna be a free agent And I don't think he's gonna be hard for him to be picked up on a team at all I don't think it's gonna be hard for him to find a team find a new home at all I think it'll be done Within the next two days at the latest for I honestly think at the latest It'll take two days at the latest where he could go Antonio. That's a good question. I'm not sure but Everybody ain't really set as safety Everybody's not set as safety or even if even if you sign him to be a backup Which I'm sure he won't want to be but if he's getting offers and a lot of people are saying oh We already we're already set at safety. He can be a very very very quality backup No frostbite said I'm salty engraving why you salty Maybe he's salty because I didn't introduce myself and I'm being rude So let me go ahead and turn that salt on the pepper Let me introduce myself me. I mean graven vids.  You'll be the first to see it. But anyway, yeah, so TJ Ward He's out of there. Where could he go? Who needs a safety right now? Who needs a safety? Well Jack the King just took out the Seahawks. He said they said already a safety But like I said if this guy if you are set at safety this dude could what's up flex appreciate you coming through from Jersey, man If you're set at safety, he could be quality depth dolphins dolphins have a Is it not regime at this? What's his name Rashad Jones? I believe that's his name I feel like that's I feel like I'm saying his name wrong though. Is it Rashad Jones Steelers need a backup? Yeah, that would be a solid pick up for the Steelers Yeah, that secondary would take some big improvements over the past couple days I mean the players have been hurt recently, but sometimes you do when you get that change of scenery your health might just increase Look at that purify gaming says Steelers are interested too So, yeah, could could be Pittsburgh. I mean, yeah, what if Steelers make another move? They just made they just made Browns I don't think I don't think the Browns will pick them up. They just got Calvin priority. They drafted Jibril Peppers. I Don't know though. You never know what Browns sometimes you just never never know what the Browns Wasn't what the safety that played the ball wrong at the end of the game when Flacco threw it to Jacobi. No, that was um, oh What's his name was he quit not quitting me? What's his name? Oh It wasn't TJ Ward It was Black black guy. I believe he had dreads. His name is not it's not coming to me right now It's not coming to me Dangerfield hurt his ankle in this the Steelers could know what we'll see man What was the guy's name? Can somebody remind me of his name? Oh It's killing me Harris No, I don't think it was Harris. It was a safety More more Raheem or there we go Raheem or appreciated flex. That's what was Raheem or there we go It wouldn't come to me man It wouldn't it wouldn't come to me Jordan said TJ Ward would be good with Byron Jones. Oh, that's cowboys, right? I believe so Seahawks in my just interested to oh Seahawks and NY just interested to we'll see we'll see we'll see but either way Once it comes out wherever TJ Ward is gonna go So obviously not gonna be with the Broncos anymore. They feel good about their young safeties I did read in some comment sections of some Broncos Some Broncos posts and threads. They said yeah, TJ Ward was nice But they got some up-and-coming guys that are playing even better than him So we'll see if that ends up being true see if those younger guys can actually feel that that quote-unquote void of safety and Take over the starting position and actually be successful in the position too. So anyway, I appreciate y'all man Thank you. And that's that I will see you in whatever comes out next man. We'll be here Thank you. Make sure you subscribe if you haven't already leave a like on the video and follow on Twitter Instagram and Snapchat All three is engraving vids and on that note shout out to my boy TJ 305. I know this is squad 2 man. I'm out