Netflix cofounder and Anthropic board member
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Former CMO of Netflix / Former Chief Brand Officer of Uber
Chief Content Officer
Senior UI Engineer
Co-Founder and first CEO
Machine Learning Infrastructure Manager
Former VP Cloud Architecture Strategy
Chief Product and Technology Officer
Senior Software Engineer
Former Chief Talent Officer
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Netflix cofounder and Anthropic board member Reed Hastings joins TED's Sal Khan to give a look inside the race to build AI. Hear his take on how the technology could accelerate education — including the possibility of an AI tutor for every student — and reshape the economy faster than anyone expects. Hosted on Acast. See acast.com/privacy for more information.
Elizabeth Stone is the Chief Product and Technology Officer (CPTO) at Netflix, where she oversees Engineering, Product, and Design. Since her first appearance on the podcast two years ago—which remained my second-most-popular episode for more than a year—she has expanded her role to lead product, in addition to engineering. Before Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at Nuna, an economist at Analysis Group, and a trader at Merrill Lynch. In our in-depth conversation, we discuss: 1. Why “systems thinking” is now the most important skill she looks for 2. How to manage the flood of AI-generated output without losing quality or signal 3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill 4. What “excellence as an operating system” means — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Elizabeth Stone: • LinkedIn: https://www.linkedin.com/in/elizabeth-stone-608a754 — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction (02:25) AI and role confusion: the storming phase before the forming phase (07:36) How roles have changed in the past two and a half years (11:55) Will functions survive? The case for craft specialism (13:26) What Netflix is hiring more of—and less of (17:22) Why systems thinking is the rising skill across every function (20:20) Is the design process dead? (22:08) Skills trending down (28:33) AI fluency and Netflix’s career ladder overlay (31:00) AI use cases beyond coding (35:12) Netflix’s AI history (38:36) Excellence as an operating system (41:11) The pillars of the excellence OS (46:41) The keeper’s test—and why it’s mostly a positive conversation (50:21) Attracting top talent in the age of frontier AI labs (52:54) Junior talent, craft mastery, and the mentorship question (56:25) Where engineering goes in 5 to 10 years (59:45) The future of entertainment: beyond film and TV (1:02:18) AI in Hollywood: Netflix’s creator-enablement position (1:06:15) Lightning round and final thoughts — Referenced: • How Netflix builds a culture of excellence | Elizabeth Stone (CTO): https://www.lennysnewsletter.com/p/how-netflix-builds-a-culture-of-excellence • Brian Chesky’s new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach • The design process is dead. Here’s what’s replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead • Claude Code: https://www.anthropic.com/product/claude-code • Claude Cowork: https://www.anthropic.com/product/claude-cowork • Netflix’s “Keeper Test” and Why You Need It | Lorne Rubis: https://www.highlights.lornerubis.com/2015/08/the-netflix-keeper-test-and-the-courage-to-take-it • Innovation for Filmmaking, By Filmmakers: Why InterPositive Is Joining Netflix: https://about.netflix.com/en/news/why-interpositive-is-joining-netflix • InterPositive: https://weareinterpositive.com • Netflix Prize: https://en.wikipedia.org/wiki/Netflix_Prize • Quarterback on Netflix: https://www.netflix.com/title/81482895 • The Bill Simmons Podcast on Netflix: https://www.netflix.com/title/82186214 • Spencer Pratt on Instagram: https://www.instagram.com/spencerpratt • Salman Rushdie’s Substack: https://salmanrushdie.substack.com • Remarkably Bright Creatures on Netflix: https://www.netflix.com/title/81911351 • Eight Sleep: https://www.eightsleep.com • Tour de France: https://www.letour.fr/en — Recommended books: • Thinking in Systems: https://www.amazon.com/Thinking-Systems-Donella-H-Meadows/dp/1603580557 • Into Thin Air: A Personal Account of the Mt. Everest Disaster: https://www.amazon.com/Into-Thin-Air-Personal-Disaster/dp/0385494785 • Liar’s Poker: https://www.amazon.com/Liars-Poker-Norton-Paperback-Michael/dp/039333869X — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Reed Hastings has announced he'll leave the board at Netflix, the company he co-founded. Before that news broke, Reid and Aria sat down with Hastings on "Possible" to talk about how technology has rewritten the rules of entertainment before, but AI takes him back to his beginnings. He studied AI at Stanford in the late '80s, decades before it became the only conversation in tech. Few people have watched this moment build from as many vantage points: he's served on the boards of Microsoft, Meta, Bloomberg, and, now, Anthropic. In this episode, they talk about what AI changes in entertainment in the stories themselves, and who gets to tell them. They ask what AI can deliver for education, an area Reed has poured hundreds of millions to reform. They dig into whether the disruption coming for workers is a wages problem, a jobs problem, or something else entirely. And they ask what a two-superpower AI race means for everyone else. For more info on Possible and transcripts of all its episodes, visit https://www.possible.fm/podcast/ See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Netflix’s “KPop Demon Hunters” wasn’t just one of the biggest movies of 2025; it was Netflix’s most popular title — movie or show — ever. Four songs from the film’s soundtrack also simultaneously cracked the top 10 on Billboard’s Hot 100 list, a first for a movie soundtrack. Now, it’s up for two Oscars at this year’s Academy Awards: Best Animated Feature and Best Original Song. For directors Chris Appelhans and Maggie Kang, the megahit is also a celebration of Korean culture. Kara, Chris and Maggie talk about the ways Maggie drew on her Korean heritage to expand the scope of the film, why the hit song “Golden” was so hard to write, and how they were able to make an original film at a time when studios are mostly looking to recycle IP. They also talk about the future of the animation industry amid the threat of A.I. and what’s in store for the much anticipated “KPop Demon Hunters” sequel. Questions? Comments? Email us at on@voxmedia.com or find us on YouTube, Instagram, TikTok, Threads, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Netflix shouldn’t have survived. In 1997, Blockbuster owned home entertainment—9,000 stores, a business fueled by late fees, and a brand that felt untouchable. Netflix was a scrappy DVD-by-mail experiment that almost sold itself off to stay alive. So how did Netflix win? In this conversation, Reed Hastings breaks down the behind-the-scenes decisions that helped the business thrive: the uncomfortable leadership choices, the culture blueprint that surprised corporate America, and a near-catastrophic misstep that could have blown the whole thing up. Reed also talks about what shaped him long before Netflix: being a late-bloomer, teaching in the Peace Corps, learning humility from a former boss, and the painful management mistakes he made while building his first company. This is a masterclass in: challenging the status quo, choosing a culture on purpose, and making big bets without pretending you’re always right. What you’ll learn: Why Netflix’s early “obvious” advantages weren’t enough—and how close it came to dying The leadership lesson Reed learned from a CEO who was admirable… but strategically wrong Why Reed says the best companies are like championship sports teams: if you can’t perform at peak, leave The “keeper test” and how it changed corporate culture The Qwikster fiasco: what went wrong, and how Netflix moved to prevent future missteps Building a House of Cards: How Netflix made the leap to original content Reed on the media landscape: The remote-control moment of truth, rival streamers, and the rise of AI Timestamps: 00:08:06 — “I was a late bloomer.” Reed on why no one saw greatness coming 00:09:30 — Peace Corps in Swaziland, and the moment he nearly quit 00:11:23 — An unforgettable lesson learned from the CEO who washed Reed’s coffee cups 00:14:39 — Building his first company in a cold cabin—no internet, just obsession and proof of concept 00:16:48 — Reed’s early struggles as a manager: “Too busy chopping wood to sharpen the axe.” 00:24:11 — Blockbuster’s late-fee pain and an early bet on DVDs 00:44:47 — The dot-com crash… and the $50M LVMH round that saved Netflix (barely) 00:47:12 — A possible Blockbuster buyout: “We probably would’ve taken any offer.” 00:56:18 — The Netflix culture deck: “We’re not a family,” and why that shook people up 01:05:07 — The Qwikster crisis, and the backlash that humbled Reed 01:19:33 — The competition: Netflix is just <10% of TV viewing—and the real threat is YouTube Hey—want to be a guest on HIBT? If you’re building a business, why not get advice from some of the greatest entrepreneurs on Earth? Every Thursday on the HIBT Advice Line, a previous HIBT guest helps new entrepreneurs work through the challenges they’re facing right now. Advice that’s smart, actionable, and absolutely free. Just call 1-800-433-1298, leave a message, and you may soon get guidance from someone who started where you did, and went on to build something massive. So—give us a call. We can’t wait to hear what you’re working on. This episode was produced and researched by Sam Paulson with music by Ramtin Arablouei. It was edited by Neva Grant. Our engineers were Patrick Murray and Robert Rodriguez. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
My guest today is Reed Hastings, the co-founder and former longtime CEO of Netflix. Netflix is an example of two ideas that everyone talks about, but are extremely hard to do in practice. The first is finding a simple idea and taking it extraordinarily seriously. Reed talks about how even the DVD business was nothing more than a stepping stone toward streaming, which they envisioned from the company’s inception in 1997. The second is talent density, and what it actually takes to set and sustain an exceptionally high bar over decades as a company grows. We talk about how those ideas shaped Netflix’s culture and strategy, what Reed learned from mistakes like Qwikster, and why Netflix treated content like a venture portfolio. We also discuss Reed’s work today. He shares how he’s thinking about AI, what he’s learned from serving on the boards of Microsoft, Meta, Anthropic, and Bloomberg, and what excites him about Powder Mountain, the ski resort he acquired after Netflix. Please enjoy my conversation with Reed Hastings. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Ramp’s mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to ramp.com/invest to sign up for free and get a $250 welcome bonus. ----- Vanta is trusted by thousands of businesses and continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit vanta.com/invest. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- WorkOS is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit WorkOS.com to transform your application into an enterprise-ready solution in minutes, not months. ----- Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit ridgeline.ai. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Timestamps (00:00:00) Sponsors (00:03:33) Welcome to Invest Like The Best (00:04:29) Intro (00:05:43) Sponsors (00:07:16) The Concept of Talent Density (00:11:19) Evaluating Talent (00:13:47) Managing on the Edge of Chaos (00:14:51) Why Netflix Gave Large Severance Packages (00:16:37) The Keeper’s Test (00:17:07) The Qwikster Mistake (00:19:15) The Informed Captain (00:20:39) How to Come Up with Good Ideas (00:22:32) Transitioning to Streaming (00:23:05) Being on the Board of Facebook, Microsoft, Anthropic & Bloomberg (00:26:25) The Role of a Board Member (00:29:37) Sponsors (00:30:15) Why Netflix Had Open Compensation (00:32:04) Netflix’s Content Strategy (00:37:52) Competing with YouTube and Traditional TV (00:39:23) Creating Hit Content (00:40:02) Impact of AI on Netflix (00:41:24) Innovations in Show Formats (00:43:23) Sponsors (00:43:44) Netflix's Technology Backbone (00:45:29) Expanding into Gaming (00:46:06) Lessons from Failed Projects (00:47:30) Financial Strategy and Capital Allocation (00:50:27) Stepping Down as CEO (00:50:52) Powder Mountain (00:56:08) Focus on Education and AI (00:59:00) Risks and Benefits of AI (01:00:56) The Kindest Thing (01:02:56) Sponsors
RxJS is an open-source library for composing asynchronous and event-based programs. It provides powerful operators for transforming, filtering, combining, and managing streams of data, from user input and web requests to real-time updates. Ben Lesh is the creator of RxJS. He joins Josh Goldberg to talk about his path into engineering and the RxJS library. Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post RxJS with Ben Lesh appeared first on Software Engineering Daily.
Bozoma Saint John’s story isn’t just about leading the world’s biggest brands - it’s about surviving unimaginable loss, breaking every “career rule,” and redefining what success really means. In today's episode of CEO Diaries, the former Netflix and Apple CMO reveals why she quit chasing work-life balance, why being selfish saved her, and how personal tragedy shaped her path to the top. Visit - www.linkedin.com/DOAC Listen to the full episode here - Spotify - https://g2ul0.app.link/yzrBsXpFsUb Apple - https://g2ul0.app.link/czJGDAsFsUb Watch The Diary of a CEO Episodes On YouTube - https://www.youtube.com/c/%20TheDiaryOfACEO/videos Learn more about your ad choices. Visit megaphone.fm/adchoices
Summary In this episode of the Data Engineering Podcast Tulika Bhatt, a senior software engineer at Netflix, talks about her experiences with large-scale data processing and the future of data engineering technologies. Tulika shares her journey into the data engineering field, discussing her work at BlackRock and Verizon before joining Netflix, and explains the challenges and innovations involved in managing Netflix's impression data for personalization and user experience. She highlights the importance of balancing off-the-shelf solutions with custom-built systems using technologies like Spark, Flink, and Iceberg, and delves into the complexities of ensuring data quality and observability in high-speed environments, including robust alerting strategies and semantic data auditing. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data migrations are brutal. They drag on for months—sometimes years—burning through resources and crushing team morale. Datafold's AI-powered Migration Agent changes all that. Their unique combination of AI code translation and automated data validation has helped companies complete migrations up to 10 times faster than manual approaches. And they're so confident in their solution, they'll actually guarantee your timeline in writing. Ready to turn your year-long migration into weeks? Visit dataengineeringpodcast.com/datafold today for the details. Your host is Tobias Macey and today I'm interviewing Tulika Bhatt about her experiences working on large scale data processing and her insights on the future trajectory of the supporting technologies Interview Introduction How did you get involved in the area of data management? Can you start by outlining the ways that operating at large scale change the ways that you need to think about the design of data systems? When dealing with small-scale data systems it can be feasible to have manual processes. What are the elements of large scal data systems that demand autopmation?How can those large-scale automation principles be down-scaled to the systems that the rest of the world are operating? A perennial problem in data engineering is that of data quality. The past 4 years has seen a significant growth in the number of tools and practices available for automating the validation and verification of data. In your experience working with high volume data flows, what are the elements of data validation that are still unsolved? Generative AI has taken the world by storm over the past couple years. How has that changed the ways that you approach your daily work? What do you see as the future realities of working with data across various axes of large scale, real-time, etc.? What are the most interesting, innovative, or unexpected ways that you have seen solutions to large-scale data management designed? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data management across axes of scale? What are the ways that you are thinking about the future trajectory of your work?? Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The AI Engineering Podcast is your guide to the fast-moving world of building AI systems. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com with your story. Links BlackRock Spark Flink Kafka Cassandra RocksDB Netflix Maestro workflow orchestrator Pagerduty Iceberg The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
ThePrimeagen (aka Michael Paulson) is a programmer who has educated, entertained, and inspired millions of people to build software and have fun doing it. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep461-sc See below for timestamps, and to give feedback, submit questions, contact Lex, etc. CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: ThePrimeagen’s X: https://twitter.com/ThePrimeagen ThePrimeagen’s YouTube: https://youtube.com/ThePrimeTimeagen ThePrimeagen’s Twitch: https://twitch.tv/ThePrimeagen ThePrimeagen’s GitHub: https://github.com/theprimeagen ThePrimeagen’s TikTok: https://tiktok.com/@theprimeagen ThePrimeagen’s Coffee: https://www.terminal.shop/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Invideo AI: AI video generator. Go to https://invideo.io/i/lexpod Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex OUTLINE: (00:00) – Introduction (10:27) – Love for programming (20:00) – Hardest part of programming (22:16) – Types of programming (29:54) – Life story (39:58) – Hardship (41:29) – High school (47:15) – Porn addiction (57:01) – God (1:12:44) – Perseverance (1:22:40) – Netflix (1:35:08) – Groovy (1:40:13) – Printf() debugging (1:46:35) – Falcor (1:56:05) – Breaking production (1:58:49) – Pieter Levels (2:03:19) – Netflix, Twitch, and YouTube infrastructure (2:15:22) – ThePrimeagen origin story (2:30:37) – Learning programming languages (2:39:40) – Best programming languages in 2025 (2:44:35) – Python (2:45:15) – HTML & CSS (2:46:05) – Bash (2:46:45) – FFmpeg (2:53:28) – Performance (2:56:00) – Rust (3:00:48) – Epic projects (3:14:12) – Asserts (3:23:26) – ADHD (3:31:34) – Productivity (3:35:58) – Programming setup (4:11:28) – Coffee (4:18:32) – Programming with AI (5:01:16) – Advice for young programmers (5:12:48) – Reddit questions (5:20:20) – God PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips
Listen to the full episode here - Spotify- https://g2ul0.app.link//ALL0Oi5NFPb Apple - https://g2ul0.app.link//HAiW8n8NFPb Watch the Episodes On Youtube - https://www.youtube.com/c/%20TheDiaryOfACEO/videos Marc: https://marcrandolph.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Ed speaks with Reed Hastings, co-founder and executive chairman of Netflix. They discuss the company's path from dvd rental to streaming, the importance of company culture, what it was like to leave Netflix, and the challenges and joys of Reed's newest venture: a ski resort in Utah. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Because you watched Diary Of A CEO: the path to Netflix's $300 billion empire Marc Randolph is the co-founder and former CEO of Netflix, he is also the author of the international bestseller, ‘That Will Never Work' and the host of the podcast of the same name. In this conversation, Marc and Steven discuss topics such as, the importance of pride in work, the pitch that almost ruined Netflix, how Marc overcame $50 million of debt, and the one decision that saved Netflix. (00:00) Intro (00:37) What’s your mission? (02:12) Why did you write this book? (03:25) Your journey to Netflix, what got you there? (06:51) Meeting your Netflix co-founder (08:28) Searching for a business idea (12:03) How to know if you’ve got a winning business idea (16:45) The importance of stress testing your idea (21:11) Being too romantic about your idea (24:19) Netflix’s early years (31:12) Exploring the potential of selling to Amazon (35:44) What was Jeff like in 1999? (36:29) Stepping down as CEO (45:21) What was it that he had that he thought was better? (46:41) Having tough conversations (50:37) What makes Reed so successful? (51:55) Hard work: does it matter? (58:14) How to find the perfect product-market fit (01:02:11) The moment Netflix turned on subscriptions it changed everything (01:09:36) How many tests should we be conducting? (01:11:16) Getting employees to conduct more tests (01:13:24) Your dad passing away (01:18:58) The dot-com crash (01:23:01) Getting the call from Blockbuster to buy Netflix (01:29:37) Blockbuster nearly took Netflix down, until their CEO left (01:33:41) Leaving Netflix (01:38:47) Netflix culture (01:49:57) Your relationship and commitment to date nights (01:56:13) The last guest’s question Follow Marc: Twitter - https://g2ul0.app.link/NcZZFoH1FLb Instagram - https://g2ul0.app.link/z7yXEFJ1FLb You can purchase Marc’s book, ‘That Will Never Work’, here: https://g2ul0.app.link/jeSxs0R1FLb Watch the episodes on Youtube - https://g2ul0.app.link/DOACEpisodes My new book! 'The 33 Laws Of Business & Life' is out now - https://g2ul0.app.link/DOACBook You can purchase the The Diary Of A CEO Conversation Cards: Second Edition, here: https://g2ul0.app.link/f31dsUttKKb Follow me: https://beacons.ai/diaryofaceo Learn more about your ad choices. Visit megaphone.fm/adchoices
We’re off for the Fourth of July, but what’s a better tribute to America than a conversation about the technology that enables us to endlessly stream TV from the couch? This week, we’re bringing you an episode we enjoyed from the recently debuted New York Times podcast The Interview. Lulu Garcia-Navarro interviews Ted Sarandos, co-chief executive of Netflix, about his early days working in a video store, shows to fold your laundry to and the future of the entertainment industry. Guest: Ted Sarandos, Co-CEO of Netflix Additional Reading: “The Interview”: Ted Sarandos’s Plan to Get You to Binge Even More Netflix Can Japan’s First Same-Sex Dating Reality Show Change Hearts and Minds? We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Today, I’m talking with Greg Peters, the co-CEO of Netflix. I caught up with Greg while he was at the Cannes Lions festival in France, which is basically the world’s biggest gathering of advertisers and marketers. It’s an increasingly important place for Greg to be, as Netflix’s new ad tier has nearly doubled in six months to more than 40 million subscribers and feels increasingly pivotal to the future of the company. On top of that, Netflix is updating its famous culture memo, and I wanted to chat with Greg about the changes he’s making to that document, and how he’s thinking about maintaining that culture as Netflix grows into things like advertising and gaming. Links: Netflix Culture Memo | Netflix Netflix Culture Memo (2009) | Netflix Streaming is cable now | The Verge Netflix’s ad tier hits 40 million users | The Verge Netflix is different now — and there’s no going back | The Verge Netflix just fired the organizer of the trans employee walkout | The Verge Netflix doesn’t want to hear it anymore | The Verge It’s hard to believe Samsung’s new, matte The Frame is actually a TV | The Verge Transcript: https://www.theverge.com/e/23946561 Credits: Decoder is a production of The Verge, and part of the Vox Media Podcast Network. Today’s episode was produced by Kate Cox and Nick Statt and was edited by Callie Wright. Our supervising producer is Liam James. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Netflix won the streaming battle, but the war for your attention isn’t over.
We kick off our Microsoft Build 2024 “coverage” in this free-wheelin’ conversation with our friend, Shaundai Person! We’re talking Netflix infra, we’re talking sales, we’re talking real-world AI usage, we’re talking career choices…. What’s a good next step? Listen in! Join the discussion Changelog++ members get a bonus 6 minutes at the end of this episode and zero ads. Join today! Sponsors: Sentry – Code breaks, fix it faster. Don’t just observe. Take action. Sentry is the only app monitoring platform built for developers that gets to the root cause for every issue. 90,000+ growing teams use sentry to find problems fast. Use the code CHANGELOG when you sign up to get $100 OFF the team plan. Tailscale – Adam loves Tailscale! Tailscale is programmable networking software that’s private and secure by default. It’s the easiest way to connect devices and services to each other, wherever they are. Secure, remote access to production, databases, servers, kubernetes, and more. Try Tailscale for free for up to 100 devices and 3 users at changelog.com/tailscale, no credit card required. Also check out Remotely access Home Assistant via Tailscale for free! Neon – The fully managed serverless Postgres with a generous free tier. We separate storage and compute to offer autoscaling, branching, and bottomless storage. Featuring: Shaundai Person – GitHub, LinkedIn, X Jerod Santo – Website, GitHub, LinkedIn, Mastodon, X Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X Show Notes: Something missing or broken? PRs welcome!
Reed Hastings became executive chairman of Netflix in 2023, after 25 years as CEO. He co-founded Netflix in 1997. Reed is also a majority owner of Powder Mountain. He is currently on the board of several educational organizations including KIPP and Pahara. Timestamps for this episode are available below. Sponsors: AG1 all-in-one nutritional supplement: https://drinkag1.com/tim (1-year supply of Vitamin D (and 5 free AG1 travel packs) with your first subscription purchase.) Wealthfront high-yield savings account: https://wealthfront.com/tim (Start earning 5% interest on your savings. And when you open an account today, you’ll get an extra fifty-dollar bonus with a deposit of five hundred dollars or more.) Shopify global commerce platform, providing tools to start, grow, market, and manage a retail business: https://shopify.com/tim (one-dollar-per-month trial period) Timestamps: [00:00] Start [06:34] Alfred Lee Loomis and Tuxedo Park. [07:53] Risk tolerance: nature or nurture? [10:56] Cultivating culture that “eats strategy for lunch.” [15:41] The logic behind generous severance. [17:02] Adapting to Pure chaos. [18:44] Reference checking potential hires. [20:29] Context vs. control. [22:35] Radical candor. [24:15] Guardrails for maintaining work/life balance. [27:04] Farming for dissent. [28:39] Believing in the green crystals. [30:54] High-performance team, not family. [31:59] The keeper test. [32:49] Fire and replace, or replace and fire? [33:59] Beyond Entrepreneurship and other recommended reading/viewing. [37:46] A favorite failure. [40:32] Outstanding leaders. [41:10] Reed’s two “religions.” [42:19] Powder Mountain. [44:44] How Powder Mountain differs from Reed’s other projects. [46:24] Powder Mountain’s biggest challenges ahead. [47:02] Could Reed ever really retire? [47:19] Best investments of time, energy, or money. [48:49] How can we improve education in the US? [52:48] What class would Reed teach? [53:59] Juggling projects without losing focus. [55:04] Philanthropy: Why Africa? [55:32] Being “big-hearted champions who pick up the trash.” [56:28] Reed’s billboard. [58:01] Parting thoughts. * For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast. For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsors Sign up for Tim’s email newsletter (5-Bullet Friday) at tim.blog/friday. For transcripts of episodes, go to tim.blog/transcripts. Discover Tim’s books: tim.blog/books. Follow Tim: Twitter: twitter.com/tferriss Instagram: instagram.com/timferriss YouTube: youtube.com/timferriss Facebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferriss Past guests on The Tim Ferriss Show include Jerry Seinfeld, Hugh Jackman, Dr. Jane Goodall, LeBron James, Kevin Hart, Doris Kearns Goodwin, Jamie Foxx, Matthew McConaughey, Esther Perel, Elizabeth Gilbert, Terry Crews, Sia, Yuval Noah Harari, Malcolm Gladwell, Madeleine Albright, Cheryl Strayed, Jim Collins, Mary Karr, Maria Popova, Sam Harris, Michael Phelps, Bob Iger, Edward Norton, Arnold Schwarzenegger, Neil Strauss, Ken Burns, Maria Sharapova, Marc Andreessen, Neil Gaiman, Neil de Grasse Tyson, Jocko Willink, Daniel Ek, Kelly Slater, Dr. Peter Attia, Seth Godin, Howard Marks, Dr. Brené Brown, Eric Schmidt, Michael Lewis, Joe Gebbia, Michael Pollan, Dr. Jordan Peterson, Vince Vaughn, Brian Koppelman, Ramit Sethi, Dax Shepard, Tony Robbins, Jim Dethmer, Dan Harris, Ray Dalio, Naval Ravikant, Vitalik Buterin, Elizabeth Lesser, Amanda Palmer, Katie Haun, Sir Richard Branson, Chuck Palahniuk, Arianna Huffington, Reid Hoffman, Bill Burr, Whitney Cummings, Rick Rubin, Dr. Vivek Murthy, Darren Aronofsky, Margaret Atwood, Mark Zuckerberg, Peter Thiel, Dr. Gabor Maté, Anne Lamott, Sarah Silverman, Dr. Andrew Huberman, and many more. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Great ideas are like electricity -- they snap into sharp focus and sprint from place to place. What's the best way to capture them? Bozoma Saint John, Chief Marketing Officer at Netflix, makes a compelling case to move away from an overreliance on data when making big decisions -- and calls on us all to tap into the power of our intuition and become creative trailblazers. Hosted on Acast. See acast.com/privacy for more information.
We continue Kara's tour of her memoir Burn Book: a Tech Love Story as she gets candid with Netflix co-CEO Ted Sarandos about the nonsensical nature of 1990s/early 2000s tech culture, how technology disrupted media, where Kara's candor comes from and Ted's short-lived career as a journalist. This interview was taped at Live Talks LA on March 4,2024. Questions? Comments? Email us at on@voxmedia.com or find us on social media. We’re on Instagram/Threads as @karaswisher and @nayeemaraza Learn more about your ad choices. Visit podcastchoices.com/adchoices
Elizabeth Stone is the chief technology officer of Netflix. She previously served as vice president of product data science and engineering, and as vice president of data and insights, at Netflix. Before Netflix, Elizabeth was vice president of science at Lyft, chief operating officer at Nuna, a trader at Merrill Lynch, and an economist at Analysis Group. In our conversation, we discuss: • Elizabeth’s advice for career advancement • Netflix’s unique high-performance culture • How, and why, Netflix maintains a high bar for excellence • Intentional leadership practices • How to foster an “open door” culture within your team • The Keeper Test and how it contributes to maintaining a high bar for excellence • The power of transparent communication • Much more — Brought to you by: • Vanta—Automate compliance. Simplify security. • Sendbird—The (all-in-one) communications API platform for mobile apps • Explo—Embed customer-facing analytics in your product — Find the full transcript at: https://www.lennysnewsletter.com/p/how-netflix-builds-a-culture-of-excellence — Where to find Elizabeth Stone: • LinkedIn: https://www.linkedin.com/in/elizabeth-stone-608a754/ — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Elizabeth’s background (04:36) Life as CTO vs. VP of Data (05:57) The role of economists in tech companies (08:32) Using economics to understand incentives (10:07) Success and career growth (20:15) Setting expectations (25:02) Advice for how to avoid burnout (27:44) Netflix culture: high talent density (30:31) Netflix culture: candor and directness (31:45) The Keeper Test (39:01) Maintaining a high bar for excellence (43:54) Netflix culture: freedom and responsibility (46:18) Unconventional processes at Netflix (47:55) Examples of candor (51:44) Data and insights team structure (01:00:12) Staying close to teams (01:02:31) Advice on being present (01:07:40) Lightning round — Referenced: • What to Know About the Netflix Cup, Today’s First-Ever Live Sports Event: https://www.netflix.com/tudum/articles/netflix-cup-live-event-date-news • Ann Miura Ko interview | The Tim Ferriss Show (Podcast): https://www.youtube.com/watch?v=h2GO0Ks_VGg • Netflix culture: https://jobs.netflix.com/culture • No Rules Rules: Netflix and the Culture of Reinvention: https://www.amazon.com/No-Rules-Netflix-Culture-Reinvention/dp/1984877860 • Reed Hastings on LinkedIn: https://www.linkedin.com/in/reedhastings/ • Netflix’s “Keeper Test” and Why You Need It | Lorne Rubis: https://www.highlights.lornerubis.com/2015/08/the-netflix-keeper-test-and-the-courage-to-take-it/ • The Hunger Games: https://en.wikipedia.org/wiki/The_Hunger_Games • Nan Yu on LinkedIn: https://www.linkedin.com/in/thenanyu/ • Work Life Philosophy: https://jobs.netflix.com/work-life-philosophy • The Scoop: Netflix’s historic introduction of levels for software engineers: https://blog.pragmaticengineer.com/netflix-levels/ • Chaos Monkey: https://www.techtarget.com/whatis/definition/Chaos-Monkey • Ali Rauh on LinkedIn: https://www.linkedin.com/in/ali-rauh/ • Keith Henwood on LinkedIn: https://www.linkedin.com/in/keith-henwood/ • Jeff Bezos’ Morning Routine of Puttering Around—How It Works: https://medium.com/illumination/jeff-bezos-morning-routine-of-puttering-around-how-it-works-9d73f359ac8d • What I Talk About When I Talk About Running: A Memoir: https://www.amazon.com/What-Talk-About-When-Running/dp/0307389839 • A Fine Balance: https://www.amazon.com/Fine-Balance-Rohinton-Mistry/dp/140003065X • Triangle of Sadness on Hulu: https://www.hulu.com/movie/triangle-of-sadness-f60937bd-45f4-469a-938f-db95026953a1 • Beef on Netflix: https://www.netflix.com/title/81447461 • Fellow pour-over coffee set: https://fellowproducts.com/products/stagg-xf-pour-over-set • Peloton bikes: https://www.onepeloton.com/shop/bike — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe
<p>How do you manage the dependencies of a large-scale data science project? How do you migrate that project from a laptop to cloud infrastructure or utilize GPUs and multiple instances in parallel? This week on the show, Savin Goyal returns to discuss the updates to the open-source framework Metaflow.</p> <p>Savin briefly describes the Metaflow platform and the goal of simplifying engineering overhead for data scientists and programmers. We discuss how the platform captures snapshots of a project as you work, allowing you to go back in time or share the state of your project with another team member.</p> <p>We dig into the complicated process of managing dependencies for machine learning and data science projects. Savin describes how the required external libraries can be specified within a flow with the new <code>@pypi</code> or <code>@conda</code> decorators. This allows a project to scale from a local machine to the cloud or multiple instances with all dependencies included.</p> <p>He talks about starting a new company, Outerbounds, with fellow co-workers from Netflix. Their vision is to continue to build the Metaflow open-source platform and offer customers scalable enterprise-grade infrastructure. </p> <p>This week’s episode is brought to you by Intel.</p> <div class="alert alert-primary" role="alert"> <p><strong>Course Spotlight:</strong> <a href="https://realpython.com/courses/packaging-with-pyproject-toml/">Everyday Project Packaging With <code>pyproject.toml</code></a> </p> <p>In this Code Conversation video course, you’ll learn how to package your everyday projects with <code>pyproject.toml</code>. Playing on the same team as the import system means you can call your project from anywhere, ensure consistent imports, and have one file that’ll work for many build systems.</p> </div> <p>Topics:</p> <ul> <li>00:00:00 – Introduction </li> <li>00:02:25 – Update on Metaflow </li> <li>00:04:13 – What is Outerbounds? </li> <li>00:07:26 – An ML platform to serve data scientists needs </li> <li>00:13:02 – Dependency reproducibility via <code>@conda</code> and <code>@pypi</code> decorators</li> <li>00:26:18 – Sponsor: Intel </li> <li>00:27:10 – Storing lock files along with snapshots </li> <li>00:29:17 – Working alongside code and dependency management systems</li> <li>00:34:03 – Scaling a project from laptop to the cloud </li> <li>00:40:13 – Video Course Spotlight </li> <li>00:41:41 – Getting visibility on processes </li> <li>00:47:23 – Adjusting your project due to GPU availability </li> <li>00:52:27 – Example of jumping back into a project one year later </li> <li>00:55:54 – What are you excited about in the world of Python? </li> <li>00:57:39 – What do you want to learn next? </li> <li>00:59:35 – How can people follow your work online? </li> <li>01:00:19 – Thanks and goodbye </li> </ul> <p>Show Links:</p> <ul> <li><a href="https://metaflow.org/">Metaflow - a framework for real-life ML, AI, and data science</a></li> <li><a href="https://outerbounds.com/">Infrastructure for ML, AI, and Data Science - Outerbounds</a></li> <li><a href="https://www.youtube.com/watch?v=KGpg8jwAda4">Human-Friendly, Production-Ready Data Science with Metaflow- Savin Goyal | SciPy 2022 - YouTube</a></li> <li><a href="https://realpython.com/podcasts/rpp/61/">Episode #61: Scaling Data Science and Machine Learning Infrastructure Like Netflix – The Real Python Podcast</a></li> <li><a href="https://outerbounds.com/blog/pypi-announcement/">New in Metaflow: The Long-Awaited <code>@pypi</code> Decorator - Outerbounds</a></li> <li><a href="https://docs.metaflow.org/scaling/dependencies">Managing Dependencies - Metaflow Docs</a></li> <li><a href="https://outerbounds.com/blog/secure-ml-secure-software-dependencies/">Secure ML with Secure Software Dependencies - Outerbounds</a></li> <li><a href="https://en.wikipedia.org/wiki/Directed_acyclic_graph">Directed acyclic graph (DAG) - Wikipedia article</a></li> <li><a href="https://docs.metaflow.org/metaflow/visualizing-results">Visualizing Results - Metaflow Docs</a></li> <li><a href="https://outerbounds.com/blog/seamless-data-pipelines-airflow-metaflow/">Seamless Data and ML Pipelines with Airflow and Metaflow - Outerbounds</a></li> <li><a href="https://realpython.com/podcasts/rpp/142/">Episode #142: Orchestrating Large and Small Projects With Apache Airflow – The Real Python Podcast</a></li> <li><a href="https://twitter.com/SavinGoyal">Savin (@SavinGoyal) - X</a></li> <li><a href="https://www.linkedin.com/in/savingoyal/">Savin Goyal - LinkedIn</a></li> <li><a href="https://outerbounds.com/blog/">Building the ML-driven future - Outerbounds Blog</a></li> </ul> <p>Level up your Python skills with our expert-led courses:</p> <ul> <li><a href="https://realpython.com/courses/packaging-with-pyproject-toml/">Everyday Project Packaging With pyproject.toml</a></li> <li><a href="https://realpython.com/courses/data-pandas-concat-and-merge/">Combining Data in pandas With concat() and merge()</a></li> <li><a href="https://realpython.com/courses/python-histograms/">Histogram Plotting in Python: NumPy, Matplotlib, Pandas & Seaborn</a></li> </ul> <p><a rel="payment" href="https://realpython.com/join">Support the podcast & join our community of Pythonistas</a></p>
Shaundai Person joins Jerod & Nick for a fascinating discussion of her transition from a sales position to Senior Software Engineer at Netflix. Along the way, we discuss sales as a superpower, how to build confidence in yourself & even sneak a little TypeScript talk in there because you know who… Join the discussion Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors: Vercel – With zero configuration for over 35 frameworks, Vercel’s Frontend Cloud makes it easy for any team to deploy their apps. Today, you can get a 14-day free trial of Vercel Pro, or get a customized Enterprise demo from their team. Visit vercel.com/changelogpod to get started. Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring: Shaundai Person – GitHub, LinkedIn, X Jerod Santo – GitHub, LinkedIn, Mastodon, X Nick Nisi – Website, GitHub, Mastodon, X Show Notes: Holla! React Paris (use JSPARTYPARIS for 20% off) Screen Studio Something missing or broken? PRs welcome!
In this moment, the American businessperson and marketing executive, Bozoma Saint John discusses how to find your destiny. Bozoma says that too often people say that they just ‘fell into’ the job or industry they are in, when in fact she believes that this is destiny coming to find you and that we are constantly creating our destiny. She says that we underestimate the power of letting go of control (which is not the same as surrendering or giving up) as a way of opening up to different possibilities and routes to finding our destiny. As too often we bang our heads against closed doors, when instead there is an open door that is open on a different route. To realise this, she says we need to treat our powers of intuition like a muscle, ignoring external voices and opinions, training and growing your intuition to the point where you can have 100% faith in whatever it is telling you. Listen to the full episode here - https://g2ul0.app.link/q9EARBxJ9Eb Watch the Episodes On Youtube - https://www.youtube.com/c/%20TheDiaryOfACEO/videos Bozoma: https://www.bozomasaintjohn.com https://www.instagram.com/badassboz/?hl=en Learn more about your ad choices. Visit megaphone.fm/adchoices
Today on the flagship podcast of multi-drone camera setups: 03:19 - The Verge's David Pierce chats with Planet Earth III producer Alex Walters and director Theo Webb about the gear used to make the latest nature documentary series. 30:13 - Netflix's Pat Flemming joins the show to discuss how Netflix figures out what to show when you open the app, and how to keep you coming back. 1:20:29 -The Verge's publisher Helen Havlak and editor-in-chief Nilay Patel join the show to answer this week's hotline question. Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices
In an interview with The New Stack, renowned technologist Adrian Cockcroft discussed the process of fine-tuning Large Language Models (LLMs) through prompt engineering. Cockcroft, known for his roles at Netflix and Amazon Web Services, explained how to obtain tailored programming advice from an LLM. By crafting specific prompts like asking the model to provide code in the style of a certain expert programmer, such as Java's James Gosling, users can guide the AI's output. Prompt engineering involves setting up conversations to bias the AI's responses. These prompts are becoming more advanced with plugins and loaded information that shape the model's behavior before use. Cockcroft highlighted the concept of fine-tuning, where models are adapted beyond what a prompt can contain. Companies are incorporating vast amounts of their internal data, like wiki pages and corporate documents, to train the model to understand their specific domain and processes. Cockcroft pointed out the efficacy of ChatGPT within certain tasks, illustrated by his experience using it for data analysis and programming assistance. He also discussed the growing need for improved results from LLMs, which has led to the demand for vector databases. These databases store word meanings as vectors with associated weights, enabling fuzzy matching for enhanced information retrieval from LLMs. In essence, Cockcroft emphasized the multifaceted process of shaping and optimizing LLMs through prompt engineering and fine-tuning, reflecting the evolving landscape of AI-human interactions. Learn more from The New Stack about LLMs and Prompt Engineering: Top 5 Large Language Models and How to Use Them Effectively The Pros (And Con) of Customizing Large Language Models Prompt Engineering: Get LLMs to Generate the Content You Want Developer Tips in AI Prompt Engineering
In this episode, Steven sits down with the former CMO of Netflix and former Chief Brand Officer of Uber, Bozoma Saint John. The first black woman to hold all of these (and many more) trailblazing roles, she is a legend of the corporate world. Born in Ghana in 1977, she moved to the U.S. at a young age. Saint John has held high-profile roles at companies like Apple, where she led global consumer marketing for iTunes and Apple Music, and Uber, where she was Chief Brand Officer. Saint John is widely recognized for her influence in the industry, her efforts to increase diversity in corporate America, and her engaging and unique public speaking style. Some topics discussed in this episode: The secrets that make Uber, Netflix and Apple so successful How to stop getting the Sunday scaries Is work-life balance a lie? How to forge your own career How to find your own identity in the workplace Personal tragedy, loss, and emotional healing How to sell anything How to ask for help Boz’s Book: https://www.amazon.com/Urgent-Life-Story-Love-Survival/ Follow Boz: Twitter: https://twitter.com/badassboz Instagram: https://www.instagram.com/badassboz TikTok: https://www.tiktok.com/@badassboz Website: https://www.bozomasaintjohn.com Follow me: https://beacons.ai/diaryofaceo Learn more about your ad choices. Visit megaphone.fm/adchoices
To achieve true cultural impact, follow authentic storytelling and spot untapped consumer needs. Recorded live at the Masters of Scale Summit in San Francisco, filmmaker and entrepreneur Tyler Perry and Netflix’s co-CEO Ted Sarandos talk with host Reid Hoffman about redefining culture, evaluating the playing field, and ignoring conventional wisdom. Sarandos explains how scaling the personal touch of curation and taking risks evolved Netflix into a streaming juggernaut. Perry shares insights about the importance of ownership and how creating his own seat at the table spawned the largest film production company in the U.S. Read a transcript of this episode: https://mastersofscale.com/ Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribe See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Being authentic defines strong leadership. Bozoma Saint John has continually challenged expectations, moving purposefully across multiple roles, from Uber’s chief brand officer to Netflix’s CMO, from Pepsico to Apple, from working for celebrated director Spike Lee to working for iconic Hollywood talent agent Ari Emmanuel. The wall between the personal and professional is artificial, Boz argues, and a barrier to leading what she calls The Urgent Life in a new book. The best leaders tap into their emotions and listen to their instincts, she says, which helps to drive a team and a business forward. Read a transcript of this episode: https://mastersofscale.com/ Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribe See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Projects like Apache Iceberg provide a viable alternative in the form of data lakehouses that provide the scalability and flexibility of data lakes, combined with the ease of use and performance of data warehouses. Ryan Blue helped create the Iceberg project, and in this episode he rejoins the show to discuss how it has evolved and what he is doing in his new business Tabular to make it even easier to implement and maintain. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? We feel your pain. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. It ends up being anything but that. Setting it up, integrating it, maintaining it—it’s all kind of a nightmare. And let's not even get started on all the extra tools you have to buy to get it to do its thing. But don't worry, there is a better way. TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. If you're fed up with the 'Modern Data Stack', give TimeXtender a try. Head over to timextender.com/dataengineering where you can do two things: watch us build a data estate in 15 minutes and start for free today. Your host is Tobias Macey and today I'm interviewing Ryan Blue about the evolution and applications of the Iceberg table format and how he is making it more accessible at Tabular Interview Introduction How did you get involved in the area of data management? Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem? Since it is a fundamentally a specification, how do you manage compatibility and consistency across implementations? What are the notable changes in the Iceberg project and its role in the ecosystem since our last conversation October of 2018? Around the time that Iceberg was first created at Netflix a number of alternative table formats were also being developed. What are the characteristics of Iceberg that lead teams to adopt it for their lakehouse projects? Given the constant evolution of the various table formats it can be difficult to determine an up-to-date comparison of their features, particularly earlier in their development. What are the aspects of this problem space that make it so challenging to establish unbiased and comprehensive comparisons? For someone who wants to manage their data in Iceberg tables, what does the implementation look like? How does that change based on the type of query/processing engine being used? Once a table has been created, what are the capabilities of Iceberg that help to support ongoing use and maintenance? What are the most interesting, innovative, or unexpected ways that you have seen Iceberg used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Iceberg/Tabular? When is Iceberg/Tabular the wrong choice? What do you have planned for the future of Iceberg/Tabular? Contact Info LinkedIn rdblue on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Iceberg Podcast Episode Hadoop Data Lakehouse ACID == Atomic, Consistent, Isolated, Durable Apache Hive Apache Impala Bodo Podcast Episode StarRocks Dremio Podcast Episode DDL == Data Definition Language Trino PrestoDB Apache Hudi Podcast Episode dbt Apache Flink TileDB Podcast Episode CDC == Change Data Capture Substrait The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: Acryl:  The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform. Founded by the leaders that created projects like LinkedIn DataHub and Airbnb Dataportal, Acryl Data enables delightful search and discovery, data observability, and federated governance across data ecosystems. Signup for the SaaS product today at [dataengineeringpodcast.com/acryl](https://www.dataengineeringpodcast.com/acryl) Support Data Engineering Podcast
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