18 Burst results for "Parque"

"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

06:06 min | 4 months ago

"parque" Discussed on Podcast RadioViajera

"parque" Discussed on Yesteryear Old Time Radio

Yesteryear Old Time Radio

03:44 min | 4 months ago

"parque" Discussed on Yesteryear Old Time Radio

"We'll join the great gildersleeve again in just a minute. Yesterday is hours checking up on parque sales and the summerfield grocery up Bernie. Looking over her shopping list. Nannies expense eighty four. My goodness, my food money's taken a beaten having trouble barely. Missed a while. I sure am prices the way they are. It's sure hard to balance the food budget. Circle redbird. Oh, that's the one item on. My Nisa calls next today than it did a year ago. Parque margin that smart Verdy. You can't talk that wonderful flavor of Parque at any price. It's a favorite spread for America's Brad I know that we use park a on rolls and Muffins and Pancakes US party all the time, and there are plenty of reasons why you should. Parque is the margarine of craft qualities. Park has made from only the choice products of American firms. Each pound contains fifteen thousand units of important vitamin A.. It's rich and nourishment. Almost think as well, but we did because it did plane tastes good. You can't beat that parque flavor, right, verdy. It's the flavor that makes parque margarine, an outstanding favor after all millions of women all over America Serve Parque just because it tastes good, so try it P.. A. R. K. A. Y.. Parque margarine made by crap..

parque sales America Serve Parque summerfield grocery Circle redbird Bernie Nisa America A. R. K. A.
"parque" Discussed on Yesteryear Old Time Radio

Yesteryear Old Time Radio

03:55 min | 5 months ago

"parque" Discussed on Yesteryear Old Time Radio

"Nineteen, forty, nine four. Yes big, powerful, nineteen, forty-nine Ford sedans, or waiting for owners, twenty, eight of those streamlined beauties are being one in Parque Margarines, big fifty thousand dollar contests series, and the Grand Prize winner gets a one thousand dollar bonus to go with the forward he wins, but here you want to know about all of a seven hundred twenty one prizes each week for five weeks Park, awarding four beautiful new Ford Sedans Forty General Electric, table radios twenty corey coffee makers, two thousand eight postmaster automatic pop up toasters sixty ten dollar bill now all you do is help the great. Gildersleeve got a name for the pretty little. Little baby girl found some weeks ago. Just write your suggested name for the Gildersleeve baby on a contest entry blank. They're available at your food dealers with complete rules or use plane piece of paper and entry with one red flap from the end of a package of Parque Margarine and your name and address to Parque Margarine Fox seven, three, six Chicago seventy seven Illinois. These yard wouldn't close your parque dealers, name and address make a bid for your new beautiful, nineteen, forty, nine four, but hurry this second week. Contest closes this Saturday mail. Your entry to Parque Margarine Fox seven six Chicago seventy seven Illinois now..

Parque Margarine Fox Parque Margarine Parque Margarines Gildersleeve Ford Chicago Illinois weeks Park
"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

04:51 min | 5 months ago

"parque" Discussed on Podcast RadioViajera

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"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

05:11 min | 5 months ago

"parque" Discussed on Podcast RadioViajera

"parque" Discussed on Yesteryear Old Time Radio

Yesteryear Old Time Radio

01:41 min | 7 months ago

"parque" Discussed on Yesteryear Old Time Radio

"The Great Gildersleeve will be back after. This important announcement. Well someone has the name those twins and that's why park a announces a series of big prize contests I naming the twins. You may win a one thousand nine hundred fifty. One Victoria are one of eleven hundred and fifty other prizes. Yes for big beautiful. Victoria's will be one each week for five weeks. And all and every week for five weeks parque will also award Tim. General Electric Portable dishwashers twenty. General Electric Triple whip mixers one hundred Chris. New Twenty dollar bills and one hundred new ten dollar bills. Eleven hundred seventy prizes in all. Here's how you enter. Think of names for these babies one's a boy one's a girl get an entry blank from your grocer. It will tell you how prize winning entries are selected or use plain paper. If you prefer send your names for the twins plus your own name and address do parque margarine box six seven nine nine. Chicago seventy seven Illinois with each entry and blows the red end flat from a package of Parque Marcher. And here's something special if you'd like to try a five hundred dollar cash bonus. In addition to the first prize includes to Parque read plants. One end flap entitled your entry to full consideration for afford Victoria to read and flaps entitled you to five hundred dollars extra if you should win one of the weekly first prizes remember Lee address Parque Margarine Bach six seven nine nine Chicago seventy seven Illinois. First Week's contest ends at midnight. March seventy so. Hurry NAME THE TWINS. Get your first three off tomorrow..

Parque Margarine Bach Parque Marcher Victoria Chicago Illinois General Electric Portable Tim Chris Lee
"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

03:50 min | 8 months ago

"parque" Discussed on Podcast RadioViajera

"August But and..

"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

06:49 min | 8 months ago

"parque" Discussed on Podcast RadioViajera

"He is on the they weren't going to talk about it. The the the hour is in but must Aguirre. He'll stigma while they're not the United States Kahlo informant. And if he's punishing costly Stigma Kim Willoughby I thought your light on me on the listed in whatever spark in wooded our my Kenya. What about sitting Giddy Danica yet? They'll undercut who they'll selling eighty s when it goes to stay mark on Plato Women's purpose it don't speak. Roll down not modest northern practicum in Iran. Yari awful vices. But if you don't come when he goes to stand up you know the owner it all depending on cable that I know of our own world. They're supposed to Hispanic it. Take when for my own ecosystem Emma and she is in order of biddle to be. She'd say if I stand tell us. Customers she gets that gave horse dividers muscle indigo or other people that they don't say you learned a little. Dubai money out on this. I'm in control. I was Rosecrans. Monty WAS WINDOW S. And you're stuck on a level you're not vita by almost this proportion star starts the Dick. Walsh is not going to want to allow story and let me just turn on what's important. It doesn't doesn't the window. Who Went Lou presto preschool onto this is funny? He'll lowest northeast. The John McCain Julio now in your mind up going into medicine of India an advocate you ask for from West Though. His ready outlive them. All Land We got a few magnificant meant. County are getting worse Pitcher Alex Couple Speakers Ruth and Oklahoma. We'll store window or on and they don't want him in in his little than sitting. Give you enough another another culture modal little all over. Bush stole my finance their growth for your matter in Guinea. I win that it on finding out. I'm sure any from data don't they you know Shining Melissa from personal frustration eastern Biblical mission of training going still in touch with raw thonis thrown out. There's always keeping to be my daughter famous. She's been sorted goes Wah Leonis Mali Africa in The Middle Leonis Tim legends sheet wish or guys. Ucs Vice Versa does not days she might say what is going on me rather than laureate sitting at the from Columbia. Nowadays nobody is minimal technologies normal. So we're going to wrestle. Guys headed doll company. Gallo as well again. I Don does finish up unison. A gathering on moral for now live four four and I wonder what they must say Madam. And don't they just give you haven't yet lake really are there is always said it was random? Deka amateur. Vr Of warsteiner shore for the thrashers report on earth for sharing it on Komo Ito equal or they say that Shawn Africa. Israel commission is offering a the honest with you on the road. Getty here on Saturday I gave. I gave a purposeful about gay guys mighty goal you work on up. Show people that interest a letter that Harare given Imports you nothing. Everyone kind of funds out Duda Duda come you. Stink down into the Donald Trump. Even that the the Modell ruthin now e that percents that he that it will be able. I want you for the three over. What established Android Area Luther? I watched another video. I WanNa know what to expect more coming down for Potato Salad Hispanic evil. I'm using various masters career. He's making data state statement put on trump organization..

Aguirre Walsh biddle Kim Willoughby Donald Trump Duda Duda Ruth Danica Kenya Monty Emma United States Dubai Kahlo John McCain Rosecrans Harare Iran Pitcher Alex Couple
"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

03:50 min | 8 months ago

"parque" Discussed on Podcast RadioViajera

"August tonto can making.

"parque" Discussed on Podcast RadioViajera

Podcast RadioViajera

18:42 min | 8 months ago

"parque" Discussed on Podcast RadioViajera

"The Commune Fat Guy. Waffly got open an advantage. Delta Talk Young do I do found a many. Those John Braham would ask evil kissing. Dvd's total Oregon Interpol Day mass. Hey is found. Few activator. The total spices for this one. Don't they get mad at you? Can either? It's not former and I draw. Tango Ram About Society. Ambitious.

Druid Analytics with Jad Nauous

Software Engineering Daily

12:19 min | 10 months ago

Druid Analytics with Jad Nauous

"Lied are in D.. At imply which is an analytic system built on the DRUID database the end user of implies often an analyst business analysts have some kind take me inside the job of a typical analyst. I well actually. The typical user of imply is not an analyst generally analysts usually interact with tools or are traditionally. Bi tools like tableau looker power. Bi imply as is not really focused on that set of people will yet mainly what we are focused on delivering as analytics capabilities for operational level. People let's say you're an engineer and you need to look at the performance of your cluster and identify which machines seem to be exhibiting behavior. Yeah that's problematic. What versions of the software like what combination of software versions and configurations are causing a particular problem? And things like that or if you're a marketing say you're like a growth hacker or you're looking at your doing advertising you're doing ab testing and you won't understand what what segments of the population of the audience are actually interacting with a particular ad versus others and trying to optimize the performance of those ads in these kinds of situations. You have very complex. Data sets each kind of event or each click may have hundreds of fields. Potentially and what you're trying to do as a looking at some aggregate metrics for certain number of events over a period of time and then trying to find what are the common dimensions or the common fields within those events that seem to exhibit similar behaviors viewers. and which ones aren't we have a whole bunch of customers like one of the one of our biggest customers is twitter and their main use cases around is around. Ads Tell me some of the typical queries that might be issued to this database for the most part these types of queries are less about dashboard inquiries on more like slice and dice. Donald IX so the example would be altech an engineering one because those are always the easiest for me. Give me the request. Latency the ninety nine th percentile. UNTILE request latency over my entire cluster over the past. Let's say two months and then drill down to the past two days compare. The past. Two days is against the PAT like the two days a month ago and then zoom in to a particular spike. Let's say that you're seeing and the past today's Day's breaking down by let's say ws regions and then break it down by Java version and then compare those versions each other and figure out which which of the job version seem to be having problems versus. Not so those kinds of queries like pay a very simple workflow for the things that you're trying to do but imagine like you're trying to do this over. You know. Hundreds of these dimensions trying to figure out what group of dimensions or kind of key value pairs are the ones that are problematic. There's been tooling. Thanks for issuing these kinds of queries for a long time. And you're in a business where you're competing with some of these products like data warehousing products. What are the traditional responsibilities of a data warehouse? How does that compare to the responsibilities of Druid Greg question if you look at what time series database is? Do they really focused on providing these fast type real time super real time analytics. Where you know you? You put an event and it's supposed to the actual metric should be impacted almost immediately. You should be able to get alerts on those metrics pretty quickly and you should be able to store tons of these metrics billions of metrics. So that's kind of like one point in the design space for kind of data stores where you want Super real-time super fast but the complexity of the queries that you can do and the complexity of the data that you can get very limited on the other hand you have these. He's very capable very powerful analytical databases data warehouses like big query or snowflake or red shift where you can execute cutie super complex joins on vast amounts of data but they take a really long time to execute. DRUID is kind of open source Ola Real time data where I call it a real time. Data warehouse that we are that we are responsible for the main company behind it today. It's somewhere in between a time. Series database where the number of dimensions is small and a full data warehouse. Where you can do these super complex queries and and so we are drew it as real time and high performance in the sense that you can get results at interactive speeds so you can actually execute these kinds kinds of slice and dice analytics inquiries pretty quickly and human can sit in front of a Ui and then start clicking on things drag and drop and execute these search yes kind of drill downs and aggregations and and so on and do these kind of root cause analysis explorations but at the same time. It's it's powerful enough to get good subset of the use cases that people use data warehouses for mainly all these use cases are like really really operational use cases like people clore performance related use cases like people are trying to get kind of like the perform the performance of certain in store over time the performance of a certain item within a store like these kinds of things. How credit card transactions are working? WHO's executing them? What what are they? What are people buying for these transactions and so on so those are the use cases that we see in the scope? So you've got data warehouses on one side you've got time series data bases aces on the other and in terms of technology. Druid this kind of in between these two and what we're seeing happening is that more and more use cases that people actually care about are moving towards real time and more and more of the people who want to actually use data to make decisions today. Are these operational type. People like marketing customer success people or support or engineers. We're finding what what they're finding is that data warehouses can't fulfil this really interactive of need. And so they start to find they start to move and look for something that is more capable of interactive type queries. That are fast enough and they find droid and so today. A druid is very much focused on this hot data or you look and find the data that is most used by people. People want to query it all the time time they care about it being fresh they care about it being available all the time they move that data and they put it android at the same time. People are starting to push us towards words. The data warehouse use case the traditional data warehouse use cases. Because they see how fast they can execute queries android and and they say well. Why can't you do this? One More Query and this one more query and like this additional capable at the end like add additional function and so bit by bit we actually actually getting. We're actually moving more and more into the traditional data warehouse space the vision that we think we're building out imply as this idea of this operational real time data warehouse. And that's not something that currently exists. Today you have either time-series databases cases which are really operational. While I mean do it has been here for a while. But like Pe- when people think about high level concepts and the things that that currently exists they have like well. Okay it's either. There are a time series database. Or it's a data warehouse but there's actually something in the middle which is this operational real time data warehouse which is and overtime. We're adding like in in our next release we're going to add to do star Schema joints and so that's kind of pushing us bit by bit towards the things that data warehouses traditionally they have been doing architecturally. Speaking as I understand snowflake and big query you can treat them as an correct tong lick a unified data lake data warehouse. You can dump all your data in them and they take care of figuring out what should be on disk or what you pulled into memory in law. That's that's based on. When you're querying it the druid you fit it into your data infrastructure in a way where you're doing routine gene? ETL Jobs into into druid and you also have strong data streaming into it from another angle like streaming from Kafka or something. Can you tell me me how how it fits in to your architecture. How're you dumping data into drew it? In winter you dumping data entered. So there's two ways of putting data data into druid either you do it through streaming ingestion like you had mentioned with Kafka or can he says so you just pipe the data straight from Kafka into droid or or you do it through batch ingestion and what that means is you have your data sitting somewhere. It's usually in parque files or or see files inside Reid Data Lake or in S. three buckets or HDFS or whatever and it used to be that you would get dupe drawn. Certain Duke jobs that are controlled owned by Druid to read those files and suck them into the DRUID format in sucking goes files actually either through. a stream ingestion or batch ingestion. What we're doing as we are reading all the data and adding a whole bunch of indexes and optimizing it for the types of queries that we want to do and then we dump it into what we call deep storage so deep storage is usually another? HDFS or S. three bucket. But that's basically where the main store kind of highly available reliable store for all this data is the way drew it works. Is You have a bunch of historical. Also we call them historical and these are the really the worker nodes so they each of them will be responsible for subset of the data. This data is stored a segment. We call each packet of data. That's as a segment. Each historical is responsible for a number of those segments. It's they load them and then they served on any queries that come in so it used to be that. You used to need a dupe for doing a lot of this ingestion what we've done in this release that's coming out tomorrow as really focus on double down on building batch ingestion within I do sorry within droid such that. You don't need this external Hukou System to actually do this batch ingestion. Everybody knows loop is just really hard to run. So does that mean that. A user that already has a duke cluster are they typically copying keeping all their data from HDFS into druid they would usually select the data that they care about and they would copy it into druid. What we see is is people often timing out the data that's android so it kind of over time ages out and so people would store in Druid? You can actually surely have tearing of your historical nodes so you can have very expensive historical. 's that have a ton of memory. Such that the entire data that they load fits memory so you can actually execute queries really fast and then you can have a lower performance. Snowed which may be serves data data from SSD files from SSD's and that could be for things that are maybe like a month or three months old or something like that and then something that has magnetic discs and that would be four things that are maybe a year old and then generally people don't like in these operational use cases. People rarely care about data for for multiple years or things like that so they they usually wouldn't load that that amount of data

Reid Data Lake Analyst Twitter Engineer Kafka Donald Ix
"parque" Discussed on KOA 850 AM

KOA 850 AM

03:46 min | 1 year ago

"parque" Discussed on KOA 850 AM

"Time out the five of a court battle and bay inside Dalin Kuhn. Parkhead? I think McKinley came back here. There is no corral decoder sock. Thirty second risks. Galley grew up a second foul off the top of the Kibo piper. Three fires a icebox battery given up to the left side apart. To give it go back to park to window shop on St. by bay Parque is Amherst has he took it back to the window. The foul. Kyodo Matthews has his second handled. Thirteen foul on USC Mendelssohn Parque, the freshman Beaumont Texas free to line after roll up shoot to talk about Martha simple plays most effective. Down and Eli bark as you said his first college, but all of tune. Twelve he said Tyler in the post and just cut to the basket stipple play and effective. Second time rattled popped up. Parka? What is young career atrocious tied at twelve at the free throw line is porter. Back at the book handed back to Hillary with Seattle. We're going against Parque prepare pairs to paint. Taken by spins misses, I think was deflected by by the way to cuddle metal. But killing up court over once twice penalties in the quarter taken by partake shells off ever, Patty deflected. It'll Hansa fake fatty spins inside hotel with the right hand. Fellas sweeping what the right hand and brownies got his first bucket. Buffs are on top by two when he really gets that caboose in Email. Get up off the floor. He would he would back. The flat iron silver backed into. What are they? Trojans attacking forecourt Reich. Tablets weaver. Give up left it. Elaine. Against bay on a push it up. Physical. He's got five or fourteen. Tom. He's a strong player looks me. But he's pretty strong today. The buffaloes attacking Bullecourt left out of the block vote white new strong. But he's not even baddies throw. He got tangled up and down there. Lose that battle foul number four. Trojan self to Swartz bay comes out Kuntz comes out ten twenty six to play the first half Todd of fourteen here in LA. But boy the ball indeed quarter up. Talbot Park Day, right? Sided shorts basketball zone defense. Dow by US McKinley high post wearing a Batty backout McKinley. He's got to was right shot clock is at five four down to three McKinley kick out left side, Parque the corner. One extra pass Schwartzberg. Three fires. Mrs. A weak side. It's on the left side case left wing Siewert for three fires shot too, strong rebound panel and porters got as he works his way up to watch. Stop. It goes down to the key crosses over pass high. The Whiteside Weaver with a headed pre-poll. Shop will do how awkward looking shop Schwartz away with the rebound for Colorado. Mccamley between legs once twice the angle wreck bolivar's wing. Couches ruffling backing his way down in the paint against the smaller guard. He got his feet tangle. He travel. Quantico? He had his feet going, right and shoulders going left. He couldn't make it was mine if you learn to jump hawker turn back the other way, we could both..

USC Mendelssohn Parque McKinley Tom Dalin Kuhn Bullecourt Galley Kyodo Matthews Swartz bay Whiteside Weaver wing Siewert US Eli Quantico bolivar Tyler Hillary Seattle Patty buffaloes Texas
"parque" Discussed on KOA 850 AM

KOA 850 AM

03:07 min | 2 years ago

"parque" Discussed on KOA 850 AM

"Robertson work with the basketball plays on the left wing to Skaggs. Eli Parque is Lisa lobster cat low on the block. Wait, spitting ready spins into Evan badly. Lost the ball on Evans chest, and is taken away by the Kelly coast to coast all the way to the back. Steal on one end after it was knocked away by a battery in the bucket Kili. Right. And it's a sixteen w run by Colorado. He gets an open floor. He's got some real speed. He's got a little extra gear. Escapes. Julieta bounces off the candidate crosses over driving at c retail to pay. Shuttles off the way delegates and slammed vice player snaps at six hundred sixteen to seventy thousand favor of Colorado thirteen to two point of I Al Parque a one step slow on the rotation there. Left side. Top cutic- gambling back to the left wing, bats. Short quarter have Batty touch pass inside the sea returns on his way up his cramp Daniels. Robertson, we'll see which one Larry stolen Kohl's the foul on looks like it's going to go against Daniels, daddy's his first fourteen fellow Washington state that will send seaward a up to a white now to shoot too. I think they're calling this the active nice touch pass by burial based on excellent passer. And you'd really like seaward disco straight up without the left hand. Tossed up and good by Lucas seventy six percents. Was he took the ball down by his knees allowed the guy to foul him without getting the ball shoulders will be coming back in with the two fouls, by the way, probably not much to lose for them. I was gonna say they lost four zero. Seaward second toss. Fires rattles that one Home Box. Eighteen to seventy today team to to rumba called around twelve forty five hundred dollars on the right side inside spitting on the bucket. He's weighed on the left side were taken by coats top step back. Fourteen foot. Jumper fading. He pushed off Parque. Ahmed Ali Occidental. He's got five at eighteen tonight. Quickly up four fort rights to top of the key lopsided Gatling to parents out top to party on the left side. Gatling kill take another one. He fires and MRs Wade's got the rebound. Yeah. The Whiteside to Ahmed Ali is open on that one. A little bit of a sliver. Holly gives up to elevate. We're getting his daily Cush drive step through killed is triple lobster in the paint taken by coach kickout up top of the right side to scare who's got a quick trigger finger. He fires three bullet that went halfway data. Popped out of a pounds. Rebound is gathered in by Evan valley up to it. The daily drives his way down the left lane. Throws it up the left hand shot blocked away by eligible to foul. The drive is called against Washington state. Best teams deliver five already on was wazoo the personal picked up by Ali. That's his first now that brings us to what officials timeout foul shots to they call it on the drive or the shot. I think it's on the drive, which is buffs basketball. We come back eleven fifty to play in the first half year, a bolted top AT the mind of the Washington state. This has got a little basketball..

Evan basketball Eli Parque Ahmed Ali Gatling Robertson Daniels I Al Parque Ahmed Ali Occidental Colorado Lucas Washington state Skaggs Evan valley Julieta MRs Wade Washington Holly Whiteside Larry
"parque" Discussed on Power 105.1 FM

Power 105.1 FM

02:22 min | 2 years ago

"parque" Discussed on Power 105.1 FM

"Do the eighty five south thing. Because of course, y'all met on while I'm sure, but may decide this threesome that could do eighty five south to three. My mouth. Innuendo. Exactly. You know what? I mean, we knew each other man lows knew each other proud of while now. But you know, it was just I did Los always, hey, we always scheming about things that we can do to kinda you know, for that talent. And just show the world more about you know, what it is that we do individually, and as a unit so lows was just like man, I'm Greg make a as as we're gonna make this thing go, so you know, he wanted us to be a part of it. And that's just the way of win. They say I don't plan to go on to just go out there. And and whatever feeling your guy. We used to have you. A structure. Discussion. Oh, you know, exactly what you say what you were going to do. We just had to figure each other out. I. We used to have a piece of paper. You know what I'm saying? I to to show you know, what I'm saying even with the park Parque. We'll just go out. Now, we don't have no papal we going off each other comedy. And we're going on because we know each other squirrel salaried. Are we gotta do is press record? Would you do today? Eh? To the show, right? And tell us it has no filter doesn't care about any day. We'll go left. You get the levels of you know, what I'm saying of of the stupidity of of of. You got me the young. Wow, ain't no telling you got to watch him, Chico. He in the middle between the young and with. So he'd be like I wanna go DC. But I can't I get under changed my life. Right. The old g the wisdom have been through everything. Gras spill..

Greg park Parque Los Chico
"parque" Discussed on Software Engineering Daily

Software Engineering Daily

01:48 min | 2 years ago

"parque" Discussed on Software Engineering Daily

"Well i mean since the i think that's that's why charlie did we hire ongoing products fighting do i think we might achieve that go awesome congratulations that's sounds like a tough problem so anyway let's fast forward you've got this data that shuttled from streaming audio from your schema list database into parque files but use parque files to store the data on hdfs the schema of those parque files is maintained in hive talk a little bit about parque files why is that the file type that you want to store the data of uber's transactional history and yeah so actually one thing is we we won't go hi what column or file format so we all the side of online will be really bad so we have to use the column or file formats on the oversaw solution is owned by but number two being for uber which is unique is we have so many nasty is highly nazi i mean it's quite common uber we see that a table has a stock the stock may be not see the over twenty levels at each of them has a model one hundred fields inside that says a high nasty and on the two cepal this highly nazi data structure unocal number formats than the i mean the idea that will draw paper on the innovations are open solid okay so that's the reason why we should i nested data explain what it means to have nested table and why do you end up with nested table yeah says we've helped by.

charlie unocal
"parque" Discussed on Software Engineering Daily

Software Engineering Daily

01:48 min | 2 years ago

"parque" Discussed on Software Engineering Daily

"Well i mean since the i think that's that's why charlie did we hire ongoing products fighting do i think we might achieve that go awesome congratulations that's sounds like a tough problem so anyway let's fast forward you've got this data that shuttled from streaming audio from your schema list database into parque files but use parque files to store the data on hdfs the schema of those parque files is maintained in hive talk a little bit about parque files why is that the file type that you want to store the data of uber's transactional history and yeah so actually one thing is we we won't go hi what column or file format so we all the side of online will be really bad so we have to use the column or file formats on the oversaw solution is owned by but number two being for uber which is unique is we have so many nasty is highly nazi i mean it's quite common uber we see that a table has a stock the stock may be not see the over twenty levels at each of them has a model one hundred fields inside that says a high nasty and on the two cepal this highly nazi data structure unocal number formats than the i mean the idea that will draw paper on the innovations are open solid okay so that's the reason why we should i nested data explain what it means to have nested table and why do you end up with nested table yeah says we've helped by.

charlie unocal
"parque" Discussed on WGN Radio

WGN Radio

02:09 min | 3 years ago

"parque" Discussed on WGN Radio

"Mound and all that but you know wrigley rulings that he's been sakes progressing nicely feels good to get the pro throwing program going out his back out to ninety feed he's throwing nice and easy the shoulder feels good all signs i think are positive the fact exerts pitching in spring training no no worries at school doesn't need a thrown spring training he can pitch half the season all that is fine it's about getting to the end of the season and having rodin getting back on the mound being healthy ready to go 2019 that works for me that can out just give the cdr dan by wish common care pillar of his get ninety feet that's something i didn't think it was going to be on the shoulder the air caterpillar ninety feet care family how many feature do caterpillars have don't know the answer is it 94 caterpillar hundred hundred feet for one caterpillar centipede i think pete centipede right which comes centerpiece caterpillars very very i i need to go back and would centipede as in you know the century mark i need some by a hunter on a rights rights rights a micro adult you're just you're rolling over that one harem now rolling over that why i'm just saying that rodin was in what was was part of the rotation i mean he was one of the guys that they were counting on there's a group of future prospects and you know carl's redan was a guy who you know for a couple of years he's been somebody who is uh you know especially the way that you know chris sale happened and if you go back and white sox organization you know saturday hurts accident jim parque jim parque was another guy that came right off the college campus at ucla in and was next the newly was pitching in the bigs so i mean if something the sax have seen before his guys coming up guys getting thrown in the big and guys doing well on rotan was supposed to be added to that group wahid he just you know hasn't been able to feel contribute like years shirt rarely has been the v level of health has not been there for nor it is really the reform it's actually when he's been healthy either so but i they're still i think a good amount of optimism that when the white sox have everything rolling carl's rebounds going to be a part of that rotation by.

rodin carl parque jim parque ucla wrigley pete ninety feet hundred hundred feet
"parque" Discussed on The Bullpen with DA

The Bullpen with DA

01:33 min | 3 years ago

"parque" Discussed on The Bullpen with DA

"No man it makes little total cents to having to sit there be a remembering that the games tough but sitting there and also being real and being at being disannul the ballpark what what i say the dugout what would i think of that i do gotta tell you i spent a couple of weeks ago with the jim parque and mike sorocca and we got to enjoy some eric bernard stories overseas dinner it's a beers at a great time i can't really say any of those stories here but i did what i did want to ask you this we played together seattle met i loved it i dude i loved playing with you because we needed excitement we needed energy and that's what you brought you brought everything i wanted in that locker room and every day i i wanted on behind me as a guy that gave a damn guy that went out there and ran hardwood runthrough wall to catch a frigate ball given his heart out to to get to second base everything in you that guy but you left under at a let me say this right the met you left the mariners under the worst circumstances ever at the you've got a a really shitty rap for how good of a guy you were and how much you cared do can you talk a little bit about that and having do not your retirement after after playing an end the play where you you know there was the but squeezed eu swing through it meant it could you got such a bad rap and you didn't deserve it and had pisses me often i'd wanna hear i want you to be able to tell the fans and mariner fans at man this how good how much you cared about the game and how much you cared about being a america when you were there.

jim parque mike sorocca seattle mariners america eric bernard