35 Burst results for "Doordash"
AP News Radio
California court rules for Uber, Lyft in ride-hailing case
"A California court has ruled in favor of a law that allows app based ride hail and delivery companies to treat drivers as independent contractors. A California appeals court has ruled that companies like Uber Lyft and DoorDash do not have to treat their drivers as employees with benefits like paid sick leave bypassing a 2019 state law in a defeat for labor unions and their allies in Sacramento. In 2020, California voters endorsed the exemption by passing ballot proposition 22, which does include some benefits like a guaranteed minimum wage and subsidies for health insurance. Monday's ruling reverses a lower court that had said prop 22 was illegal. Tony West, Uber's chief legal officer, says we're pleased the court respected the will of the people, Mike Robinson, one of the drivers who filed the challenge to prop 22, says it's not a total defeat since the court ruled the company's couldn't stop their drivers from collective bargaining to get better working conditions. I'm Jennifer King
CoinDesk Podcast Network
Sam Bankman-Fried May Soon Use a Flip Phone
"Wendy kick us off SPF update. What's up? We can't, it can't be a manic Monday without an SPF update, okay? So being the freed should have only flip phones, website, whitelist, DoJ says, I think I kind of agree with this. I think that Sam bankman fried should only be allowed to have a flip phone. But basically, SPF just, he just wants to watch Netflix and read crypto news, like coindesk, the hash. Sam, if you're watching, grr. But anyways, apparently his attorney to the district judge, Lewis Kaplan requesting adjustments to the conditions of SBS bail. It includes establishing allow list of websites he could visit on a new, especially configured laptop that allowable websites are described as not providing a private communication platform and not facilitating access to or transferring crypto, which we all know he will still be doing that. He will just use another device. I mean, who wouldn't? I raised two teenage kids. I get it. I know how these things work, but apparently the websites included are going to be Amazon, Wall Street Journal, New York Times, crypto media like coin desk, the hash. Make sure you guys are watching. Netflix and Spotify and food delivery services DoorDash and Uber eats because when he does go to the big House, he will not have access to those. Jen, since you're our legal person on the channel, let's go ahead. Have you comment on this? I don't really have a legal take on this. I think it's funny that as part of this as parents will have to commit to having monitoring devices on the devices that he has Internet access to. They have to commit to not allowing him to use their devices. It's like having a three year old all over again and I just can't imagine how his parents are coping or what they're going through amongst all of this. I thought it was super funny that he wants access to coin desk. I hope he watches the hash. I hope he hears our takes. I'd love to hear more about that. But we have to remember that Sam was using his devices to contact witnesses in this upcoming trial and his messaging apps were taken away. And so I think it makes sense that he shouldn't have access to the Internet.
AP News Radio
DoorDash cuts 1,250 jobs as deliveries ebb after pandemic
"Not long after announcing decent third quarter results, DoorDash is cutting more than 1200 jobs. The San Francisco based delivery app DoorDash is delivering pink slips, eliminating approximately 1250 corporate jobs, another ripple in a recent wave of layoffs in the tech industry. In a message to employees today, CEO Tony Shu called it a painful decision, saying the company was undersized going into the pandemic and sped up hiring to catch up with growth, but he says operating expenses grew quickly and other measures weren't going to be enough to close the gap. The company has seen record growth and reported orders jumped 27% in the third quarter, Neil Saunders with global data, says today's announcement is a recognition that the business needs to rein in costs, especially important
Business Wars Daily
"doordash" Discussed on Business Wars Daily
"Officially one hour until your favorite show premieres. Time to get some snacks delivered through Instacart. Okay, let's get some popcorn, seltzer, chocolate covered almonds, and wait, did they release the whole season? Better cart some ice cream for the two part finale. When your day should be ending but a new season is starting, the world is your cart. Visit Instacart dot com or download the app and get free delivery on your first order, offer valid for a limited time, minimum order $10 additional terms apply. From wondery, I'm David Brown, and this is business wars daily on this November 18th, happy Friday, everybody. Perhaps no sector benefited from people being stuck at home during the pandemic quite like the food delivery sector did. Here's a good example. DoorDash's revenue grew 69% from 2020 to 2021, but for the company relying on humans to get food from restaurant to doorstep, well, that's just old fashioned nowadays. The future of food delivery, according to DoorDash, drones. The company wing, which is a subsidiary of Alphabet, has partnered with DoorDash for a new pilot program in a small town outside Brisbane, Australia. Beginning last week, a small number of customers can order certain items through the DoorDash app and have them delivered by drone, typically in 15 minutes or less, according to TechCrunch. It works a lot like a regular DoorDash delivery except, of course, the need for a clear dedicated landing zone. Customers choose DoorDash air in the app and contract the location of the drone in real time. The drones can carry just over two pounds of products. The new pilot isn't all that surprising when you think of DoorDash's strategic investments of late last year it opened DoorDash labs, a division focused on developing robotic delivery solutions. The company had previously piloted robot deliveries from vendors like starship technologies. But drones can complement what's otherwise become quite a robust ground delivery service store dash Australia's GM Rebecca borough said in a statement. They quote create a quick efficient delivery option for smaller orders weighing just over a kilo and free up ground delivery services for larger deliveries that provide better compensation to drivers. We should note here for dashers to be able to deliver and make money off of those larger orders that burrow says the drones will make more available. They need to qualify for the company's large order program, which requires them to have made at least a hundred deliveries in the prior month. That is to say, not just any dasher can benefit from those larger orders. DoorDash's drone pilot that sounds like an oxymoron, doesn't it? It may be an exciting development for the company, but it comes at what TechCrunch notes is a quote precarious time for the drone delivery industry. That's because, of course, drones can be finicky. They can be hard to build, hard to keep from crashing and frankly easy to break. Don't ask me how I know. A report from Bloomberg earlier this year told how Amazon, which has been developing delivery drones since 2013, is struggling with safety issues. In June of last year, one of Amazon's drones lost control crashed and caused a brush fire that spread to 25 acres. Well, over at DoorDash's primary competitor, a proposed drone program hasn't really taken off. Uber eats unveiled a design for a delivery drone back in 2019, but it's currently still being developed and tested. Unlike DoorDash, Uber eats drone isn't designed to deliver directly to customers homes, but would instead pick up items from a store or a restaurant and fly them to a staging area, where a driver would complete the journey to the customer's location. While Uber eats drones won't be appearing in the sky anytime soon. We will see some Uber eats robots on the streets. Autonomous tech company neuro signed a ten year contract with Uber eats back in September. Nero's small driverless delivery vehicle called the R two has been tested in real traffic in a number of states according to auto week. Nuro will deploy its robots to Houston, Texas, and Mountain View California for starters. Food delivery may have exploded during the pandemic, but to keep that trend going, DoorDash and Uber eats are going to have to keep looking for ways to spread their customer base, cut costs, and remain efficient. And to do that, both companies are looking up. Way up. From wondering, this is business wars daily. I'm your host David Brown written and produced by Jessica and Alaska. Our executive producers are Tina Rubio and Marshall ruby. Thank you job stinks. Just wait until you hear what it was like to be a funeral clown. Long before all of human knowledge was in your pocket, people had some pretty bizarre professions. Luckily, you don't have to see a sin eater or a barber surgeon now, but you'll find out what it's like to get surgery with a shave. Wonder's new podcast, this job is history. It's hosted by Chris Parnell from Saturday Night Live and Rick and Morty. Steeped in factual history. This brilliantly funny podcast delves into quirky and absurd jobs from the past, with hilarious interviews that are infused with fascinatingly true Easter eggs. Come get weird with us each week as improv comedians from groundlings and UCB act out their old fashioned gig from another time. You'll be glad your guidance counselor didn't recommend any of these jobs. Clock.
AdExchanger Talks
"doordash" Discussed on AdExchanger Talks
"Work with an ad platform in a way that feels positive, net positive for the overarching ecosystem. You know, we started with the promotions business that is definitely aligned with that vision, but you can imagine a world where we want our platform to be replaced, where you discover all of the stores around you that one should support. You know, when I walk through, when I walk through Manhattan with my partner, my partner always turns to the right or to the left and says, oh, there's a new store. We need to go in there. We need to support them. The beauty of DoorDash is that all of those stores are on our ecosystem. And so we should feel the same way about supporting those stores through dash as many people did during the pandemic here and into the future. And so I think those are the three major areas where the most interested in supporting. No, I'm having a little trouble thinking of a segue from my next question because I want to ask you about Sally the salad robot. Okay. So for people who don't know, DoorDash bought a company early last year called Chao batiks that had created a salad making robot named Sally, of course, that was kind of like a high-tech salad making vending machine and it could make salad bowls on demand, a whole bunch of different types. And DoorDash was planning to roll this out at restaurants, but eventually shut down the project because it wasn't meeting or this is what I read online. It wasn't meeting internal benchmarks. So what happened there? And I guess we're just not ready for the robot salad making revolution just yet. Yeah, so it's a great question. I am not the foremost expert on this topic. But I will kind of talk a little bit about how we think about new businesses and stage gates for growth.
AdExchanger Talks
"doordash" Discussed on AdExchanger Talks
"Data available through curated deal IDs. In the second example, we can see ongoing in the industry there are a number of cellular defined audiences tests in motion. What both of these examples have in common is that their solutions that are solving today's issues whilst being immune to tomorrow's problems. The second thing is building trust in premium publishers as data providers. Broad based programmatic buying can still work, but it will only work with transparency and standardization. And the last thing I'd suggest is interrogate the data that you have. So on the analyst level, answer the question, are the target consumers actually seeing the ads? What percentage of users have an idea against them? And in your 2023 planning meetings, answer the question, will your today solution work tomorrow? Or as more users opt out of tracking, do these continue to quietly break? Thank you, Michael. I love your point around building trust in data, yet also interrogating it. Thanks for joining me. Thanks, Sarah. We are back. And before we go back to the ads business, I want to talk about the we dash program because I remember reading that there's this internal policy that every single DoorDash employee all the way up to the CEO has to make at least one delivery a month as a dasher. And that's partly about just making sure that everybody really gets to understand how every aspect of the product works and being involved in the delivery process helps with that. And then if employees earn any money from dashing that gets donated to a nonprofit. So I assume you've done that. So what is the dashing experience like and how does that help with product development? Yeah, it's a great question. And it's a program we are incredibly proud of. I think for me, it is a constant reminder of the larger ecosystem that exists even outside of now the ads business within DoorDash. Obviously, on a daily basis, we think about diving deep into first principles on the why and everything that we're building, understanding our customers, getting super deep. For us in the ads business on a daily basis, that means looking at support tickets for promotions that we're running, looking at how our sales teams are getting questions around data, looking at
The Officer Tatum Show
Black Lives Matter Executive Accused of 'Syphoning' $10M
"I got a list of them. They got all your favorite companies, PayPal, slack, we use slack our company. Comcast, Uber, a snap Shopify. We use Shopify on my ecommerce store. I mean, you go to Microsoft, Grubhub, DocuSign, DoorDash, I only want to talk about bumble 'cause none of y'all better be on the bumble. Go down the list, these major corporations, that's not even including celebrities. That's not they had so much influence around the world. And somehow black people found a way to mess it up. How in the work with that much power and influence, why couldn't a group of black people actually do something for black people? Why couldn't they clean up the inner cities, build the schools better, get kids a better education, somehow have a contingency of dads, community leaders, curbing crime in the inner city, they could have done something, they didn't do nothing but pimp y'all. Straight hoodwinked. Patrice colors. Step down until 2021. After they caught her, spending millions of dollars on mansions, then this dude, when she stepped down, she put him in charge. They claim that he didn't extract the $10 million from Black Lives Matter. In 2021, his company was paid $2 million.
Daily Tech Headlines
"doordash" Discussed on Daily Tech Headlines
"Ad revenue in the last four quarters. Gurman said Apple began testing adding sponsored results in maps, search results, and could introduce ads to Apple books and podcasts, storefronts. Reuters reports that industrial producers of lithium fertilizers and other metals in 19 out of 21 cities in China's Sichuan province were ordered to suspend production from August 15th through the 20th to prioritize residential power supply amid a historic heat wave. Apple analyst Ming Chi kuo reports this could impact apple's iPad production in Chengdu and Chongqing, especially if the heat wave persists after the 20th. Quo said flexible production scheduling may help lower the overall impact. The startup stability AI released a Dolly two like text to image AI system called stable diffusion to just over a thousand AI researchers. The engine can run on consumer GPUs with about 5 gigabytes of vram, producing a 5 12 by 5 12 pixel image. Stability AI plans for a full public launch in the coming weeks, both as a cloud service with tunable filters, as well as a local model with generated content able to be used for commercial purposes. The company plans to offer private models to paying customers and release tools for creating custom and fine tune models. TikTok added a new effect called AI green screen, which allows users to generate a text to image prompt to use as a background on video. The engine behind it generates relatively abstract and swirling images rather than the more complex or photo realistic outputs from Dolly two. The cyberspace administration of China published a list of 30 algorithms used by many of the country's most popular apps, including taobao, WeChat, MeToo one, and ByteDance's doyen. This gives each algorithm a classification number and a brief description. In March, China passed new regulations, requiring algorithm recommendation services to disclose algorithms used in
KOMO
"doordash" Discussed on KOMO
"In the household don't have COVID And so we're trying to protect the people who are uninfected by giving them the treatment Fred Hutch is asking volunteers for taking part in that trial They're looking for people who are unvaccinated but would still like protection from the virus or people who were suffering from long haul COVID symptoms Drivers for DoorDash Uber eats and other app based gigs could get a raise under Seattle's long in process new ordinance corwin Hague has the update Sponsors call the bill the pay up proposal companies like Grubhub and DoorDash would have to pay drivers at least minimum wage not including tips and a Powell with DoorDash says she has supported better pay for her company's dashers Calculated at 200% of Seattle's minimum wage before tips for an average delivery is just too hot Leah Radek of Seattle is not a driver but she points out COVID-19 has been boom time for these gig economy companies I want my community members to be paid fairly But I think it's entirely reasonable for these companies to dip into record pandemic profits to do the right thing The pay up proposal in process for nearly a year now faces amendments including alternate rules for non driving gig work like dog walkers and maid service Corwin hake northwest news radio It's 6 14 Here's Marina with our traffic on the floors from the dubin law group traffic center Still pretty tough on the east side in Bellevue southbound four O 5 from 5 20 down through the new castle neighborhood southbound I 5 sluggish from Lake city way through Seattle to I 90 south and I 5 slow in the south center area to 200 south by 5 at highway 18 still sluggish into 5 to 54th southbound one 6 7 a slow go right around ellingson passed jovita boulevard in Redmond still seeing reports of the closure of northeast novelty hill road both directions between Redmond road and one 95th due to a serious collision Next northwest traffic at 6 24 The puget sound forecast now from the 1530 mortgage dot com weather center little rain potentially overnight otherwise mainly cloudy tomorrow with a high near 70 in downtown Seattle now 61 stay connected stay informed This is northwest news radio 1000 FM 97 7 Thank you for joining us I'm Rick fancied with ELISA jaffe and our editors Bill O'Neill After today's mass shooting at an elementary school in South.
AP News Radio
DoorDash paying back drivers to offset high gas prices
"Door dash says it will refund drivers for some gas purchases to help offset higher prices at the pump the delivery company says it will give drivers ten percent cash back when they buy gas using dasher direct a debit card that's designed for drivers and will start paying them weekly bonuses for driving the most miles but door dash says it's not passing its costs on to customers right now unlike some other gig companies earlier this week uber said it would start charging riders a fuel fee to offset higher costs proved greets and ride hailing drivers something lift reportedly says it will also do I'm
Business Wars Daily
"doordash" Discussed on Business Wars Daily
"Country's largest delivery service earns money by charging restaurants a commission on every order and charging customers a separate service fee. DoorDash agreed to lower its base commission fee for McDonald's in the U.S., but starting next year if a Mickey D's keeps a DoorDash driver idling in the parking lot waiting on deliveries, that commission fee will go up. In fact, if a driver waits more than 7 minutes for a McDonald's order made by someone in DoorDash's loyalty program, that rate can get up to 20% of the total bill. That aggressive attempt to get food in the hands of DoorDash customers more quickly can get pretty pricey for the golden arches. Some McDonald's franchises have already complained that they're already understaffed and adding more penalties for slow service will hurt them even more. And beyond the move to save seconds, DoorDash also wants to save money, and it plans to do that by having McDonald's restaurants cover the cost of refunds caused by mistakes they make. If a hungry DoorDash customer gets a small fry instead of a large, for example, McDonald's has to eat that cost, which again has some franchises feeling salty. Why all these new policies turns out making money as a delivery service is kind of difficult. Those commission fees, the restaurants are paying aren't exceptionally big. And raising service fees for customers, that's a big industry no no, because consumers could just go to a competing app. That leaves delivery companies in a tight spot. As DoorDash COO Christopher Payne told the journal quote, this is a cost intensive business that is low margin. DoorDash's chief rival Uber eats is also feeling the heat. That company two renegotiated terms with McDonald's last fall, like DoorDash, Uber eats lowered its base commission rate for the chain, but didn't include wait time penalties. McDonald's already pays a higher commission than DoorDash for orders from Uber eats monthly subscribers who tend to order more food, more often, which is a boon for the restaurant. So, what does all this mean for you, dear listener? Should you use one of these apps in the near future? Well, not much, perhaps. The service fees you pay to the apps aren't slated to increase and you can still get a refund if you receive the wrong order. But what you won't see is just who's paying for that refund, and if you find yourself impatiently waiting for your quarter pounder and French fries will just.
Bloomberg Radio New York
"doordash" Discussed on Bloomberg Radio New York
"Business week So remember how I said at the top of our most red is an update on Ukraine But if you try to find the virus update I think I've got to go to page two Wow So it's just What is that telling you about how people are feeling or what they're interested in right now or they move past it Says to be some progress Yeah it does We have the Woods yet Yeah We're going to get our latest daily update in just a moment First up though let's get an update on the markets and the trading day Hey Charlie tell me well hello there Lowe's all the day right now with the Dow the S&P NASDAQ hall slumping not just here in the U.S. but stocks have been slumping around the globe Traders seeking safety in the bond market and other haven assets amid concern about geopolitical risks and the economic impacts of Central Bank policy Right now we've got the ten year yield 1.97% spot gold is advancing by 1.6% $1900 even the ounce West Texas intermediate crude retreating down 1.9% 91 81 a barrel Equity markets though lows of the day certainly for the S&P now down 76 points dropped there of 1.7% we've got the Dow Jones Industrial Average dropping 508 down one and a half percent as stacked down 321 a drop right now of 2.8% as stack 100 index full of tech names tumbling by 2.3% on the NASDAQ 100 index One of the other concerns for markets the Federal Reserve and inflation gargi chaudhari is head of iShares investments at black rock financial management So the question I ask is do we really think that we can get 7 rate hikes and a balance sheet sort of unwind And that not impact growth at all especially if we are to believe that inflation is going to come back down a little bit from these really high 7 and a half percent type numbers to a little bit more palatable level at college three three and a half percent still high but lower than 7 and a half Palantir technologies shares lower after the data software company announced earnings at illustrated continued lack of profits despite showing an operating margin forecast to improve slightly this year Palantir now slumping by 13.5% DoorDash shares delivering for investors DoorDash moving higher today after the food delivery company reported first quarter fourth quarter orders record orders and tax right now DoorDash is advancing on a down day for the rest of the market by 13.2% Among the names reporting after the closing bell today Roku Shake Shack and Dropbox I'm Charlie palette that is a Bloomberg business flash I love a Shake Shack burger right now Yeah.
Techmeme Ride Home
"doordash" Discussed on Techmeme Ride Home
"Quoting Mac rumors apple's lawsuit attempts to challenge Russia's federal anti monopoly service or FAS, and the request it made to the company in August to quote stop abuse in the market. The FAS requests would allow developers to inform users about alternative payment options for in app purchases, but Apple is seeking to have this withdrawn by judicial review. The FAS demand was based on the fact that some users and developers had notified it that some in app purchases were cheaper outside the App Store due to skirting apple's 15 to 30% commission, but this is not allowed to be highlighted in an apps due to apple's rules. Apple was given a deadline of September 30th to allow developers to promote alternative payment methods and was cautioned that a failure to abide by the request could result in a fine based on the company's revenue in Russia. In October, the FAS initiated proceedings against Apple for non compliance. The development is apple's latest point of contention in Russia in March, Apple was forced to comply with a request from the Russian government to show users a list of government approved apps to download during initial device setup and in April, the company was fined $12 million for violating anti monopoly rules with the App Store. So, you know, you do want to give credit to Apple when they stand up to bad governments doing bad governmental things. And then they go and do a thing like this. These tweets sort of some things up, I think. Here's Michael love. Between the EU and the UK and Russia and South Korea and China and the U.S. eventually somebody is going to give Apple no choice but to abandon the App Store model, so I hope for their sake, they've got an internal team pondering what that might look like. Then there's Darrell sanjo, quote, apple is taking Russia's federal anti monopoly service to court over being asked to allow apps to tell end users that they can pay for items on their website, thus avoiding apple's 30% tax. Apple straight up willing to look like a super villain over money. End quote. And finally, here's Epic Games, CEO, Tim Sweeney, quote. Apple starts winter conflict with Russia and well thought out plan..
AP News Radio
DoorDash's technological know-how offers help to food banks
"Door dash is working to ease supply chain issues for food banks Julie your code with the northern Illinois food bank says the need is huge more than eight million families around the country are not getting the food they need the reasons why typically they don't know about us they can't get to us or they're ashamed project dashes already made more than a million deliveries the equivalent of about twenty one million meals Britney groggy is with door dash please actually have the ability to pick up from one location in the distributed several houses you know make a really efficient use of their time allowing them the opportunity to do more deliveries and able to help more neighbors in the process of doing some drivers like Britney vilano near Chicago can relate there was a time in my life where I would actually get food from the food bank and I was living in a shelter Anthony Erickson received these door dash delivery I think that would go hungry if there was no service like the project dash emerged in twenty seventeen from an idea originated by employees I bet Donahue
Daily Tech News Show
DoorDash, Grubhub, Uber Eats Sue New York City Over Restaurant Fee Caps
"Uber. And grub hub filed a lawsuit against the city of new york. Federal court disputing. The law passed last month. Capping the amount of commission that food delivery apps khun charge restaurants. New york want to limit what the restaurants get charged by the deliver companies. The suit asks for an injunction against the law going into effect monetary damages and requests. A jury trial the firms alleged. The law constitutes government overreach forcing them to rewrite contracts with restaurants and raising fees for customers.
Newsradio 700 WLW
"doordash" Discussed on Newsradio 700 WLW
"Doordash and uber eats are available at participating restaurants. All right back to Chuck and grow. Yes, sir. I wonder what the life expectancy of the average traffic light is. Oh, it's got to be years in Philadelphia. They have a traffic light that's stuck on red and green simultaneously. Well, that's not good, and they they point out That now? Modern day traffic lights, I guess are if there's a problem, they just blink red the program to do that. They're saying the parts are an issue here because the company that made these traffic lights went out of business in the sixties. That's a half a century since I don't know how long maybe you could get parts for a while after that, I don't know. But Yeah, they can't get the parts and what they'll do about it. But I guess to get a new traffic light and I think they're going to have to be. I think they're going to have to upgrade to led a little bit. Be about time. It's stuck on red and green is a photo, then right below it says no. Turn on red Now, now what do you do? What a quandary! Uh, alright, let's talk traffic here. What's going on from the UC Help Traffic center. You see Health transplant lose patients off the transplant waiting list 50% faster than the national average. This is signed. And send in science lives up North Bend, 75 wrecked near 12th Street. Clear right lanes open again. This is clearing out quickly now into downtown, minimal delays to get across the brand stands bridge Everything else doing pretty good shape with no delays or problems Checking from NewsRadio 700 wlw, Alright weather pretty much the same thing. Sunny, hot and humid today and tomorrow both days a high of 93 Tonight 72 for a low a couple of clouds around. Not that.
Talking Kotlin
"doordash" Discussed on Talking Kotlin
"Looking at it really trying trying fixed we will. We won't seriously send it to us. 'cause i've shortcomings in the refactoring role that we get into it but performance problems. Wanna try and fix this possible so please do us understand. We wanna make microsoft's as big as possible right. Yeah cole sowa what's next four door daschle was snacks for Well katainen in terms of what you folks doing or did you have fans Like i said we're so hopefully playing apart our monologue. So we'll have more services coming up finishing all those extractions and kind of getting ford and then the next thing will be migrating all of the services to this service that we've been talking about right this this army area framework and kind of getting that rolled out everywhere where we have this this common framework. That's powering all of our services with distributed tracing and from easiest metrics and and all those wonderful things enabled that we can really understand everything. That's going on well. I think we're actually out of time for this episode So before we say goodbye. Are there any more topics Like maybe open source projects or something that you want to shout out specifically for daughters in combination with cotton. I don't think so. Like i say we. We've we interacted a little bit with some of the open-source ecosystem. Then we're extremely happy with it right. We've we've things upstream into like save the open telemetry work streams and stuff like that. And it's it's been great so the whole ecosystem. It is just a pleasure to work with cool then. A thank you so much for coming on the show. I think we've learned a lot. About colin about micro services and above. Doordash that was really interesting. Combination of topics Yeah and thanks for coming on. I'll something for having me all right. Take care bye and for everyone else listening out there. We hope you enjoyed it and we will be back next time. Don't forget to hit that. Bell like subscribe. She got the bell on ahead dot notification thing now. I didn't i hit on notification thing on some other channel and the damn phone. The other day vibrated. Saying there's a new video i mean that's kind of the point. Search offs on notification. You don't interrupted. There's new video of seven hati oishi change the name of the show. We call it the siberian hadid show. Did you have you. Are you too old to you. Too young to wash i'm not young towards the serbs since that's going to be interested in the next one though sepe and high the show sign take care bye-bye..
Talking Kotlin
"doordash" Discussed on Talking Kotlin
"How do you find the tooling for cotonou. In times of the i d Do you're going to be completely honest on that. I want you to play one hundred and ten percent on his stolnis I i have mixed feelings about fellegi. Honestly i in times. It is extremely useful and it is extremely powerful. I've used it outside of kotla in personal projects for gopher ross and stuff like that and it can be very powerful. It is obviously a very heavy process with everything that comes in right when you booted up a you know for most of our projects. We have intelligence that up to take eight gigs of ram. Visit boots off. I'm just to deal with some of our larger projects It is a little bit more. Cpr heavy than other ones The the main thing that i would love if the five hundred colin ecosystem had i guess i guess like language server would be great. I know there's like one third party one But but sometimes like. I don't really need or want to boot up the entire intelligent. I make a quick change I i'm a little bit old school. I have a very complicated been set off that you build the whole ton of stuff. And sometimes i just want to open them quickly. Make some changes. It'd be great to have at least you know some basic completion and stuff like that built in That that's something that i would love to have But overall i mean intelligent works pretty. Well occasionally has hiccups words. Like i guess you have to restart it And that's kind of what you have to do every once in a while if it's not pulling the right environment variables for example like your credentials for on our personal artifacts or things like that but for the most part like i said it's extremely powerful its ability to re factor. Things really well But it is a little heavy in terms of like what it takes on your system. Okay i mean. That's interesting. Because i i was thinking if you have any issues in terms of refactoring dot were you felt It it wasn't on par with java But on generally all of the all of the teen using or that this folks on clips or other systems all everyone uses intelligent Yeah we don't we don't have anyone using eclipse or anything like that. Like i said there's those of us that are a little bit more for work in the helping them and whatnot but for the most of our developers were just using intelligent on.
John Williams
DoorDash and Albertsons Partner on Same-Day Grocery Delivery
"Company, Albertsons. Is now offering same day delivery. Jewel is partnering with door dash to better compete with Amazon and Wal Mart, which currently leave the online grocery delivery market. Shares of Albertson's are about 2% higher right now, door dash chairs are up about 4.5%. Speaking of
The Twenty Minute VC
"doordash" Discussed on The Twenty Minute VC
"That means talking to customers every day and i'm not sure there is quite a substitute for that experience because it ultimately is what allows you to outline the problems for a larger organization to solve and to hopefully have a point of view to be thought partner discussions speaking of leading from the front often. The obama area there is people are afraid of failing and then they went for the failed as tunnel ramifications. How do you create a sense of security. Why people feel they can lead from the front and try something on bishops and if it goes wrong. That's okay actually. Yeah i think it is possible to have the leader actually get into the details and know the information and at the same time. Give space such that. The person closest to the problem can own. The decision owned the outcome. And i think the easiest way to do that as the leader is to give all the credit and take all the blame. And i think while it's difficult to do at times because we're all human even leaders are human and i think we all want to see success. I think the only way to create that safe environment is one. You actually know what you're talking about so you can be there to commiserate at times with your team or to really help. Push the needle on problem solving and then on the other hand you know. Have the teams back. When things don't go as expected in terms of light hard times that one does get your us. Thomas it who said though many ups and downs heels. How did you not give up when think about your positions. How do you think about that today. The i don't know if there a simple answer to this. You know because when i think through the difficult moments that thorpe ashes gone through it. I don't think there was a singular motivation or motivating factor. That got the team through it. I think there are a few things i think. One has sense based on what we saw from customers that we were onto the right thing. Even though it was difficult. I think whenever you have something good. The question is like why would you give that up. So injury counterintuitive that. That might be an instinct. But i think more so than that. There's always been this desire the company that we can do so much more. There were just at the beginning and really. The measure of success is in some dollar sign or valuation targets. Or you know score actually doing this right. Businesses really an infinite game and it should keep going the real successful organisations their generational because they've this enduring component about them. And it's really hard to do that because it's very against human nature and human nature. We like it to have a start. Stop like there to be five nights. Even in competitions. You know take sports. There's a beginning to the game. There's end of the game. There's a way to keep score. And then somebody winds. But that's not business business. There is no aid to be. There's a general sense of true north. But if you're doing it right you're going to be playing an infinite game in archer northeast to grow into empower local economies. And we think we have a long ways to go. And so when i think about the mission when i think about team the customer validation when i think about our desire to get better i think there's a few things you know that come to mind of why we would ever give up so i totally got the whole thing with avid going continuum that you mentioned that is there's no milestones to stop and celebrate stopping gear like how we did a great job. Can i ask for you personally. Do you have a sit down and just go wild. We did something great here. I know we're going to look in the next quarter and the next quarter. I'm going to appreciate that. We had a great quarter. The team did awesome. They and i did awesomely jeff. It back appreciate what you've done yet. It's it's a great question. I think you're spot on insane that when and why it is businesses so tough. Because it's it's really against human nature to think that long term end to have that infinite horizon in your in your mind in the real challenges we like to celebrate. That's human nature to and we should celebrate. And i think it's one of the things that you know candidly. I trying to work on to get better at but do we look at the mouse on sure. I think the company has come a long way in our eight years thus far and it's about celebrating See those big accomplishments. And i think at the same time also remembering that we're just getting started and we spike about the good times on the whole time and the in both times she decision making and making the is off the front and center when you buy decision-making stay. I've heard you say a brilliant thing. Which is you know reduced especially with problems with high variance. What did you mean by this. And how do you think through tough decisions today. Well i think on the first point win. Problems are very high complexity one of the most important things to do in the beginning of sunshine. What the problem trying to solve is and i think that you know you take any very difficult problem. You know whether it'd be a complicated math proof on thomas technology cancer research. Some things that you know where i've seen very complicated problems. I've found that one of the reasons is because we don't actually understand the scope of the problem. So what i mean by reducing the scope. It's almost formulating manufacturing a set of milestones of you know where true north should look like. But you're taking a guess as to what each of the mile marker should be as you get to true north and then if you can do that what you're really doing is you're just trying to take a very big problem and break it down into several smaller problems. The hard part is you may not be right in defining the problem at each stage or in between each mile marker and so when you reduce the scope you're actually reducing the complexity and the variance.
AP News Radio
DoorDash Offers Lower-Priced Delivery Plans Amid Criticism
"Door dash is offering lower priced delivery plans door dashes faced criticism the commissions it charges to the beleaguered restaurant industry are too high the new basic plan charges restaurants fifteen percent per order for delivery or about half the cost of previous plans it shifts more of the delivery cost to the customer door dashes local restaurants and chains with less than seventy five locations are eligible for the new rates even before the pandemic door dash uber eats GrubHub and other delivery companies had a rocky relationship with restaurants door dashes C. E. O. says this new plan would help restaurants but still insure drivers and door dash itself can make money I'm at Donahue
The Mason Minute
Cardboard And Paper (MM #3680)
"The with kevin mason. Many people are tired of being at home and want to get out. But if you look at the numbers that's not necessarily true because meal delivery food delivery services are on the rise they were growing before the pandemic and now they're growing even bigger and it doesn't look like they're going to slow down no matter if they leave their house or not companies like doordash and grubhub and postmates certain about delivering fast. Food meals all around town. And then you've got actual meal delivery services the kind that you cook at home. Companies like hellofresh and blue apron. They're out there too. But what all these companies have in common is a lot of paper and a lot of cardboard and i guess for that matter a lot of plastic to and that's the one thing i'm wondering about when all these delivery services deliver their in paper bags the big meal preparation services that they're delivering in big cardboard boxes plus all the plastic inside are recreating more waste. Has anybody thought about that. We're not talking about recycling here. We're just talking about moore cardboard paper and yes more plastic and that's very concerning.
The Mason Minute
Cardboard And Paper (MM #3680)
"The with kevin mason. Many people are tired of being at home and want to get out. But if you look at the numbers that's not necessarily true because meal delivery food delivery services are on the rise they were growing before the pandemic and now they're growing even bigger and it doesn't look like they're going to slow down no matter if they leave their house or not companies like doordash and grubhub and postmates certain about delivering fast. Food meals all around town. And then you've got actual meal delivery services the kind that you cook at home. Companies like hellofresh and blue apron. They're out there too. But what all these companies have in common is a lot of paper and a lot of cardboard and i guess for that matter a lot of plastic to and that's the one thing i'm wondering about when all these delivery services deliver their in paper bags the big meal preparation services that they're delivering in big cardboard boxes plus all the plastic inside are recreating more waste. Has anybody thought about that. We're not talking about recycling here. We're just talking about moore cardboard paper and yes more plastic and that's very concerning.
The Mason Minute
Cardboard And Paper (MM #3680)
"The with kevin mason. Many people are tired of being at home and want to get out. But if you look at the numbers that's not necessarily true because meal delivery food delivery services are on the rise they were growing before the pandemic and now they're growing even bigger and it doesn't look like they're going to slow down no matter if they leave their house or not companies like doordash and grubhub and postmates certain about delivering fast. Food meals all around town. And then you've got actual meal delivery services the kind that you cook at home. Companies like hellofresh and blue apron. They're out there too. But what all these companies have in common is a lot of paper and a lot of cardboard and i guess for that matter a lot of plastic to and that's the one thing i'm wondering about when all these delivery services deliver their in paper bags the big meal preparation services that they're delivering in big cardboard boxes plus all the plastic inside are recreating more waste. Has anybody thought about that. We're not talking about recycling here. We're just talking about moore cardboard paper and yes more plastic and that's very concerning.
The Mason Minute
Cardboard And Paper (MM #3680)
"The with kevin mason. Many people are tired of being at home and want to get out. But if you look at the numbers that's not necessarily true because meal delivery food delivery services are on the rise they were growing before the pandemic and now they're growing even bigger and it doesn't look like they're going to slow down no matter if they leave their house or not companies like doordash and grubhub and postmates certain about delivering fast. Food meals all around town. And then you've got actual meal delivery services the kind that you cook at home. Companies like hellofresh and blue apron. They're out there too. But what all these companies have in common is a lot of paper and a lot of cardboard and i guess for that matter a lot of plastic to and that's the one thing i'm wondering about when all these delivery services deliver their in paper bags the big meal preparation services that they're delivering in big cardboard boxes plus all the plastic inside are recreating more waste. Has anybody thought about that. We're not talking about recycling here. We're just talking about moore cardboard paper and yes more plastic and that's very concerning.
Marketplace Tech with Molly Wood
DoorDash Drivers Game Algorithm to Increase Pay
"For the delivery app. Door dash may have found a way to trick the algorithm that serves them jobs into offering better pave bloomberg profile their effort which is called hashtag declined now they encourage other drivers to decline all the lowest paid jobs to get the app to offer more money but to make it work. They need lots of drivers on board and that can be tricky with gig workers. They don't share a break room after all instead they're getting together online and facebook groups and on reddit. Lindsay cameron is a professor of management at the wharton school. Who studies gig. Workers and work doesn't uber driver herself for awhile. So there's no way for workers to have worker to worker communication via the app itself. There's no slack line or anything like that. So the few times workers are able to connect. It can be in person you know. I met other ride hailing drivers when i was at a parking lot or at the expect inspections station and beyond that. It's usually just these online forms. Which only a minority of drivers are active on the forms but for the people that are on the forms. These are really you know. They're like the virtual water cooler where people can share tips. How the platform has changed things like that now. Also gig workers instead of having a traditional boss or supervisor direct their work they are dictated by algorithms. That aren't always the most transparent. So to what extent or or gig workers able to sort of tease out. How these algorithms work as workers. You're just sort of doing these best guesses about you know based on your lived experience what you think the surge prices were gonna be or what do you think is a fair amount to except for delivery and then you're sort of guiding you're sort of making your own rules about what feels right to you or what's the best way to respond to the algorithm based on what you yourself you know are experiencing through your everyday work and
Geek News Central
DoorDash To Begin Delivering COVID-19 Test Kits In Chicago
"Door dash delivers covid. Nineteen testing kits. The company says average delivery. We'll take less than an hour if you live somewhere where there's a dodo dash. So is this thing like a pregnant houses work if you're in baltimore. Chicago cleveland. dallas denver minneapolis phoenix of. That's where you can get them now. Kit cost one hundred nine bucks. He admitted it yourself. The using a nasal swab. Meanwhile the hundred nineteen kit from vault health includes a saliva test. You do a supervision from someone from the company offering guidance over zoom. Both test are of the pcr variety and reproved for at home use by the fda marine spectrum results back within twenty four to forty eight hours.
Bloomberg Law
DoorDash Side Job Gets Pennsylvania Prosecutor Demoted
"A Pennsylvania prosecutor is being demoted for working a second job during office hours. Former first assistant district attorney, Greg Shore, will now work as a deputy D a in Bucks County. That's the word from his boss. After learning that Shore was working a side job delivering food for door Dash, District Attorney Matt Weintraub said, sure demonstrated very poor judgment. As a salaried employees of the
Data Engineering Podcast
"doordash" Discussed on Data Engineering Podcast
"Not comes at a cost of quality so losing trust when things go wrong would be the easiest way down from a spiraling point of view and recovering from. That is is the hardest when i would say thankfully doordash used in my tenure here. That hasn't happened between the trust of the organization does far but that is the one that does keep me up at night. Wanna make sure that what we do. We focus on the quantity and reliability aspects of our work. There are some solutions out there that we plan to evaluate and plan to incorporate into our pipeline. But that's eighty that keeps me up at night. The most in terms of the overall scope of projects that you're dealing with and the range of technologies irresponsible for what are some of the things that you're keeping a particular eye on as far as industry trends or upcoming technologies. And what are some of the upcoming projects or platform changes that you are particularly interested in are excited for. We did talk a bit to discovery. Lineage meta data management customization etcetera. Those are interesting. Ads and as you know in your podcast you interviewed a few of them as well. I want to shout out to some of my ex-colleagues ruber. You might know eager. They started this company called big. I which was earlier known as to- data. I believe it's an interesting concept. It's an interesting way of looking at data quality and not just that competed. There are many other companies and also opens her solutions that have been stationed in the area of data quality data lineage and discovery. I mentioned mentioned. That's an interesting one as well. So yeah those are some of the very interesting. I want to keep an eye on. The other ones would be in terms of our in house development. What i'm excited about is a mentioned we've got Real time streaming platform but honestly not every person like data unlisted a data scientist etc israel. Worst with joshua and scholar in order to build flink jobs if he wanted to democratic. Is it in our in terms of how we can build. Kpi's an insides and features for our models. We need to a lot more simpler so a new blog post will be posted soon for those interested. Possibly in about a week's time that describes how we've gone about this reviews to our own domain specific language which is an extension on top of a sequel dialect and a democrat is is how real time jobs or realtime insights and features can be obtained so other areas include explanation. Data lake frameworks so that there's a whole bunch so yeah those are the interesting ones keeping an eye on. Are there any other aspects of the work that you're doing door dash or the overall space of managing a data platform and technologies involved in the organizational aspects. That we didn't discuss yet that you'd like to cover before we close out the show in a good set of talks in this at all as you mentioned earlier if you were to dig deep dive into any of them. We could discuss them for hours so to close out. I guess the best way. I can picturesque. This is again. I go back to puzzle idea. Big data ever changing ever evolving platform. For example. her do was the most buzz worthy thing. But that was just seven or eight years ago. No one talks about it anymore. I wouldn't say no one but a majority of them have moved away from that great. It's always interesting to figure out where we're headed. When.
Data Engineering Podcast
"doordash" Discussed on Data Engineering Podcast
"And data abso- ability are super important than paramount to the success of data platform organization. But we started small. What i mean by that is our initial focus was simply defining set of as that we wanted to achieve for example one of the main reasons for the data platform to exist is from analytical purpose to compute and report on top business. Kpi's on a daily basis. Let's start there. So what are the golden data sets. The importing data sets that are required to inspect from a quality perspective. The so the new system that that one smaller to space and figure out how we can define the quality there. When it comes to batch etl pipelines which is the whole pipeline that gathers data from various services and transactional databases that you mentioned. Yes we've evaluated a few existing solutions. You've now settle down on essentially using ed flow check. Operators pre up at paycheck and post check we allow for our teams to build the runes based definition of what they should check validate in in the pre and post operators so that's just one example or hover utilize quality checking in retail pipe. Blends another example would be the real time pipeline the real time data processing area. We insist on having a schema for the payload and both of the publishing side as well as the consuming side. Reduce keno validation and alerting and monitoring based on whether or not it passed the skin validation. So yeah those are some of the which still very early time. And there's a lot more to be done for the whole entire pipeline. I would say that date. That discovery data lineage concepts of those become very interesting and important definitely evaluating of futures that we have in this area i would saving evaluated emerging looks pretty promising in the area mandate end discarding lineage. That's one way to go. But to be honest many solutions how dare we just have to figure out the right solution for us as somebody who works in operation space one of the kind of perennial challenges of managing a variety of tools. That are out. There is gaining an appropriate level of expertise to be able to understand how to run these things in production and then also the complexity of managing a heterogeneous infrastructure of being able to deploy things in manage the life cycle and the upgrade process and configuration management. And i'm just curious how you tackle some of those problems. Door dash has a dope Of engineer if you will you understand the challenges really well. And that's the whole idea of pale fat trade which is yes given the complexity of the big day system. We don't really want to simple every technology that's out there. Of course we wanna sit down on the right..
Data Engineering Podcast
"doordash" Discussed on Data Engineering Podcast
"So these are the kind of work that really are my responsibility on my teams responsibility work with a lot of data scientists tick endless machine learning and genius together to make this possible because you have so many different actors within the platform that you have to try and understand the behavior of nba to optimize for imagined that the current state of the world with the pandemic has thrown your overall capabilities of being able to work with that data and some of your existing models of out the window and of curious what the overall effect has been in terms of the scale and volatility of the data that you're working with and your ability to be able to use it effectively. It's certainly as although we've had steady growth. I should say for many years now if you look at the chart but the pandemic definitely accelerate the shift in our consumers behavior for the most part. They're embrace the denver. The option wholeheartedly. And there's a lot more growth to be had there as well but you're right in terms of wallet tenacity especially talking. The machine learning martyrised that we had earlier bids machine learning modules that typically built on historical features. Which is how the custom whereas the the prediction were based on historical data. Of course that all change when the pandemic hit and yet to retrain our models pursued than new world that was an interesting exercise in addition to that it's about the volume yet volume is increased. Many folds the wisdom of data. I mean and so that brings in challenges in terms are scaling the services that we have the right to set to address the increasing volume the complexity of the use cases that we have now gigabit more into the actual information that you're working with. Can you give a bit of an overview about the types of data that you use and some of the primary sources. The collected from primary source of data for us is our own marketplace rate. So as i mentioned earlier dashers consumers merchants etc in the marketplace. That's the primary source of day w of microsoft's architecture in our aws cloud and they publish a lot of different events and they're also store with transactional data transactional data stores. That would be the primary data source for us. In addition to that and dressing big volume of data comes from what a gps locations of dashers as the drive and deliver at the items and the food. That's interesting because it helps us understand. How been better optimize the delivery time or of our customers. Realtime on where..
Data Engineering Podcast
"doordash" Discussed on Data Engineering Podcast
"I'm interviewing said here. Taunts about how. The team at doordash designed their data platform. So can you start by introducing yourself. Give having meet tobias. I'm a big fan of your data engineering podcasts. As mentioned earlier. I definitely find it a good source to include mike knowledge. This a lot of good interviews. A lot of good information that can be had from there a duly the engineering organization that we call data platform at ash consists of a few disciplines such as real time streaming platform machine learning platform experimentation platform it a warehouse etc and vina dodi fayed about a year and a half and came from over there for about four years doing something similar managing the data of the marketplace organization at river. So glad to be here looking forward to shut definitely. Do you remember how you first got involved in. The area of data management date as ls fascinated me. When i was a kid rock my first access to computer the first thing i did on. Ms dot crown to type into plus three and hit enter and was hoping that it comes up for the right answer. Percussion it said. Bad commander filename and i was like what anyway. That joke is said to me. Computers were always like number crunching machines and data crunching machines. And of course your rent of internet. Now it's a messaging machine and together with the data crunching capabilities and messaging capabilities. At think is what has made the martin technically possible. As far as my professional engagement goes for the most part of my career. I was a generalist back in engineering. Started my junior netscape back in the days. My first introduction to specically about data and data management was at net flicks reused a joke aren't net flicks that it really is a log event processing company which just happens to be in this teeming movie business to make money and really the volume of data that we had at netflix's what got me really interested in the crunching area. That's where my journey began. It just took it forward at uber who had the passion continued and sheremet that door dash continuing search gonna passionate all the now. Seventy an interesting career are going from netscape to door dash with many stops in between and so you mentioned a little bit about what you do at doordash where you head up the data platform team. Can you give a bit more of a flavor about seven. The responsibilities that fall on your plate and some of the ways that data is used to power. The business adore dash eileen the data plaque from engineering organization. Which for as the internal customers are date. The endless data scientists machine learning engineers. The operations folks are the folks that manage the business on the ground so those are my customers. The goal for the team is obviously to station. The best possible big data stack if you wanna use a buzzword that enables all of the computing power that we need to gain insights entered the marketplace as far as where data is used at nash. A little bit of outdoor show. I'm pretty sure people have heard of the company but a little bit of a primer on doordarshan. That explains why we use. Data jordache is really a multisided marketplace. There's the merchants which could be restaurants are stored owners. That are the dashers who essentially are the folks that drive or or right and and deliver the items and then there are consumers like you and me to that order food or any other items to the app. i'm so that's the multisided marketplace and a few other areas include convenience and groceries where that are other actors in order as well so anyway. This huge marketplace generates a lot of data and the goal of the organization. The data platform organization is to figure out how to harness the power of this large large data set to optimize the market. This essentially ended up to my business. A few examples could include something like eta. Ats estimated time for. I will when you order some food. We door he obviously wanted to come. And as soon as possible and it's critical for us to be as accurate as possible when we come up with eta while if he under predict what the is going to be then it lead to bad customer and bad user experience or or called the likelihood the customer is going to churn and go competing app for example. So these are the kind of work that really are my responsibility on my teams responsibility work with a lot of data scientists tick endless machine learning and genius together to make this possible because you have so many different actors within the platform that you have to try and understand the behavior of nba to optimize for imagined that the current state of the world with the pandemic has thrown your overall capabilities of being able to work with that data and some of your existing models of out the window and of curious what the overall effect has been in terms of the scale and volatility of the data that you're working with and your ability to be able to use it effectively. It's certainly as although we've had steady growth. I should say for many years now if you look at the chart but the pandemic definitely accelerate the shift in our consumers behavior for the most part. They're embrace the denver. The option wholeheartedly. And there's a lot more growth to be had there as well but you're right in terms of wallet tenacity especially talking. The machine learning martyrised that we had earlier bids machine learning modules that typically built on historical features. Which is how the custom whereas the the prediction were based on historical data. Of course that all change when the pandemic hit and yet to retrain our models pursued than new world that was an interesting exercise in addition to that it's about the volume yet volume is increased. Many folds the wisdom of data. I mean and so that brings in challenges in terms are scaling the services that we have the right to set to address the increasing volume the complexity of the use cases that we have now
Data Engineering Podcast
Managing The DoorDash Data Platform
"I'm interviewing said here. Taunts about how. The team at doordash designed their data platform. So can you start by introducing yourself. Give having meet tobias. I'm a big fan of your data engineering podcasts. As mentioned earlier. I definitely find it a good source to include mike knowledge. This a lot of good interviews. A lot of good information that can be had from there a duly the engineering organization that we call data platform at ash consists of a few disciplines such as real time streaming platform machine learning platform experimentation platform it a warehouse etc and vina dodi fayed about a year and a half and came from over there for about four years doing something similar managing the data of the marketplace organization at river. So glad to be here looking forward to shut definitely. Do you remember how you first got involved in. The area of data management date as ls fascinated me. When i was a kid rock my first access to computer the first thing i did on. Ms dot crown to type into plus three and hit enter and was hoping that it comes up for the right answer. Percussion it said. Bad commander filename and i was like what anyway. That joke is said to me. Computers were always like number crunching machines and data crunching machines. And of course your rent of internet. Now it's a messaging machine and together with the data crunching capabilities and messaging capabilities. At think is what has made the martin technically possible. As far as my professional engagement goes for the most part of my career. I was a generalist back in engineering. Started my junior netscape back in the days. My first introduction to specically about data and data management was at net flicks reused a joke aren't net flicks that it really is a log event processing company which just happens to be in this teeming movie business to make money and really the volume of data that we had at netflix's what got me really interested in the crunching area. That's where my journey began. It just took it forward at uber who had the passion continued and sheremet that door dash continuing search gonna passionate all the now. Seventy an interesting career are going from netscape to door dash with many stops in between and so you mentioned a little bit about what you do at doordash where you head up the data platform team. Can you give a bit more of a flavor about seven. The responsibilities that fall on your plate and some of the ways that data is used to power. The business adore dash eileen the data plaque from engineering organization. Which for as the internal customers are date. The endless data scientists machine learning engineers. The operations folks are the folks that manage the business on the ground so those are my customers. The goal for the team is obviously to station. The best possible big data stack if you wanna use a buzzword that enables all of the computing power that we need to gain insights entered the marketplace as far as where data is used at nash. A little bit of outdoor show. I'm pretty sure people have heard of the company but a little bit of a primer on doordarshan. That explains why we use. Data jordache is really a multisided marketplace. There's the merchants which could be restaurants are stored owners. That are the dashers who essentially are the folks that drive or or right and and deliver the items and then there are consumers like you and me to that order food or any other items to the app. i'm so that's the multisided marketplace and a few other areas include convenience and groceries where that are other actors in order as well so anyway. This huge marketplace generates a lot of data and the goal of the organization. The data platform organization is to figure out how to harness the power of this large large data set to optimize the market. This essentially ended up to my business. A few examples could include something like eta. Ats estimated time for. I will when you order some food. We door he obviously wanted to come. And as soon as possible and it's critical for us to be as accurate as possible when we come up with eta while if he under predict what the is going to be then it lead to bad customer and bad user experience or or called the likelihood the customer is going to churn and go competing app for example. So these are the kind of work that really are my responsibility on my teams responsibility work with a lot of data scientists tick endless machine learning and genius together to make this possible because you have so many different actors within the platform that you have to try and understand the behavior of nba to optimize for imagined that the current state of the world with the pandemic has thrown your overall capabilities of being able to work with that data and some of your existing models of out the window and of curious what the overall effect has been in terms of the scale and volatility of the data that you're working with and your ability to be able to use it effectively. It's certainly as although we've had steady growth. I should say for many years now if you look at the chart but the pandemic definitely accelerate the shift in our consumers behavior for the most part. They're embrace the denver. The option wholeheartedly. And there's a lot more growth to be had there as well but you're right in terms of wallet tenacity especially talking. The machine learning martyrised that we had earlier bids machine learning modules that typically built on historical features. Which is how the custom whereas the the prediction were based on historical data. Of course that all change when the pandemic hit and yet to retrain our models pursued than new world that was an interesting exercise in addition to that it's about the volume yet volume is increased. Many folds the wisdom of data. I mean and so that brings in challenges in terms are scaling the services that we have the right to set to address the increasing volume the complexity of the use cases that we have now
Data Engineering Podcast
"doordash" Discussed on Data Engineering Podcast
"This a lot of good interviews. A lot of good information that can be had from there a duly the engineering organization that we call data platform at ash consists of a few disciplines such as real time streaming platform machine learning platform experimentation platform it a warehouse etc and vina dodi fayed about a year and a half and came from over there for about four years doing something similar managing the data of the marketplace organization at river. So glad to be here looking forward to shut definitely. Do you remember how you first got involved in. The area of data management date as ls fascinated me. When i was a kid rock my first access to computer the first thing i did on. Ms dot crown to type into plus three and hit enter and was hoping that it comes up for the right answer. Percussion it said. Bad commander filename and i was like what anyway. That joke is said to me. Computers were always like number crunching machines and data crunching machines. And of course your rent of internet. Now it's a messaging machine and together with the data crunching capabilities and messaging capabilities. At think is what has made the martin technically possible. As far as my professional engagement goes for the most part of my career. I was a generalist back in engineering. Started my junior netscape back in the days. My first introduction to specically about data and data management was at net flicks reused a joke aren't net flicks that it really is a log event processing company which just happens to be in this teeming movie business to make money and really the volume of data that we had at netflix's what got me really interested in the crunching area. That's where my journey began. It just took it forward at uber who had the passion continued and sheremet that door dash continuing search gonna passionate all the now. Seventy an interesting career are going from netscape to door dash with many stops in between and so you mentioned a little bit about what you do at doordash where you head up.
WSJ Tech News Briefing
Doordash Loses $312 Million in First Quarter After IPO
"Door dash thought its revenue more than triple. Last quarter as lockdowns spurred the rapid adoption of food delivery. Still the company posted a larger-than-expected loss of three hundred and twelve million dollars for the quarter as we talked about on the show yesterday. Food delivery companies have struggled to achieve profitability as restaurants and others look for ways around the commissions. They charged on. Orders