エピソード

  • The pragmatic guide to AI agents in the enterprise (w/ Sean Falconer)
    2025/08/03

    What does it mean to be agentic? Is there a spectrum of agency?

    In this episode of The Analytics Engineering Podcast, Tristan Handy talks to Sean Falconer, senior director of AI strategy at Confluent, about AI agents. They discuss what truly makes software "agentic," where agents are successfully being deployed, and how to conceptualize and build agents within enterprise infrastructure.

    Sean shares practical ideas about the changing trends in AI, the role of basic models, and why agents may be better for businesses than for consumers. This episode will give you a clear, practical idea of how AI agents can change businesses, instead of being a vague marketing buzzword.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    50 分
  • How Amazon S3 works (w/ Andy Warfield)
    2025/07/20

    In this season of the Analytics Engineering podcast, Tristan is deep into the world of developer tools and databases. If you're following us here, you've almost definitely used Amazon S3 it and its Blob Storage siblings. They form the foundation for nearly all data work in the cloud.

    In many ways, it was the innovations that happened inside of S3 that have unlocked all of the progress in cloud data over the last decade. In this episode, Tristan talks with Andy Warfield, VP and senior principal engineer at AWS, where he focuses primarily on storage. They go deep on S3, how it works, and what it unlocks. They close out italking about Iceberg, S3 table buckets, and what this all suggests about the outlines of the S3 product roadmap moving forward.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    50 分
  • From Docker to Dagger (w/ Solomon Hykes)
    2025/06/22

    In this season of the Analytics Engineering podcast, Tristan is digging deep into the world of developer tools and databases. There are few more widely used developer tools than Docker. From its launch back in 2013, Docker has completely changed how developers ship applications.

    In this episode, Tristan talks to Solomon Hykes, the founder and creator of Docker. They trace Docker’s rise from startup obscurity to becoming foundational infrastructure in modern software development. Solomon explains the technical underpinnings of containerization, the pivotal shift from platform-as-a-service to open-source engine, and why Docker’s developer experience was so revolutionary.

    The conversation also dives into his next venture Dagger, and how it aims to solve the messy, overlooked workflows of software delivery. Bonus: Solomon shares how AI agents are reshaping how CI/CD gets done and why the next revolution in DevOps might already be here.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    49 分
  • The history and future of the data ecosystem (w/ Lonne Jaffe)
    2025/06/08

    In this decades-spanning episode, Tristan Handy sits down with Lonne Jaffe, Managing Director at Insight Partners and former CEO of Syncsort (now Precisely), to trace the history of the data ecosystem—from its mainframe origins to its AI-infused future.

    Lonne reflects on the evolution of ETL, the unexpected staying power of legacy tech, and why AI may finally erode the switching costs that have long protected incumbents.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    54 分
  • Everything terminals (w/ Zach Lloyd)
    2025/05/25

    In this episode, Tristan talks to Zach Lloyd, founder of Warp—a terminal built for the modern era, including for AI agents. They explore the history of terminals, differences between terminals and shells, and what the future might look like. In a world driven by generative AI, the terminal could once again be the control center of computer usage.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    47 分
  • Why compilers matter (w/ Lukas Schulte)
    2025/05/11

    In this episode, Tristan Handy and Lukas Schulte, co-founder of SDF Labs and now part of dbt Labs, dive deep into the world of compilers—what they are, how they work, and what they mean for the data ecosystem. SDF, recently acquired by dbt Labs, builds a world-class SQL compiler aimed at abstracting away the complexity of warehouse-specific SQL.

    Join Tristan and members of the SDF team at the dbt Launch showcase to learn more about the brand new dbt engine. Register at https://www.getdbt.com/resources/webinars/2025-dbt-cloud-launch-showcase

    For full show notes and to read 8+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    42 分
  • The evolution of databases (w/ Wolfram Schulte)
    2025/04/27

    In the first episode of our new season on developer experience, the cofounder and CTO of SDF Labs, now a part of dbt Labs, discusses databases, compilers, and dev tools. Wolfram spent close to two decades in Microsoft Research and several years at Meta building their data platform.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    54 分
  • Building a data team from the beginning (w/ Daniel Avancini)
    2025/01/26

    Daniel Avancini is the chief data officer and co-founder of Indicium—a fast-growing data consultancy started in Brazil.

    There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium’s journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months.

    The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals.

    Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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    50 分