60本のエピソード

Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles.

Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering.

You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com.

The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.

The Analytics Engineering Podcast dbt Labs, Inc.

    • ニュース

Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles.

Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering.

You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com.

The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.

    Being Pro-Human in the AI Era

    Being Pro-Human in the AI Era

    Barry McCardel is the co-founder and CEO of Hex. Hex is an analytics tool that's structured around a notebook experience, but as you'll hear in the episode, goes well beyond the traditional notebook.
    We're big fans of Hex at dbt Labs, and use it for a bunch of our internal data work. In this episode, Barry and Tristan discuss notebooks and data analysis, before zooming out to discuss the hype cycle of data science, how AI is different, the experience of building AI products, and how AI will impact data practitioners.
    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.

    • 50分
    The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turk)

    The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turk)

    Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it’s the Machine Learning, AI & Data (MAD) Landscape. 
    The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI,  ML/AI, and applications.”
    Matt and Tristan discuss themes in Matt's post: generative AI’s impact on data analytics, the modern AI stack compared to the modern data stack, and Databricks vs. Snowflake (plus Microsoft Fabric).
    For full show notes and to read 7+ 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.

    • 36分
    How the Media Covers Gen AI (w/ Matthew Lynley, Supervised)

    How the Media Covers Gen AI (w/ Matthew Lynley, Supervised)

    Matthew Lynley is a bit of a hybrid. He's been a long-time journalist covering enterprise tech, currently in his fantastic AI and data newsletter Supervised, and he's also been a hands-on data practitioner. 
    Matthew has covered the analytics tech stack, but this time Tristan turns the tables to get Matthew’s perspective on the rise of Gen AI as a topic in the popular press, what's going on in the space today, and where AI is headed.
    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.

    • 48分
    AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)

    AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)

    Juan Sequeda is a principal data scientist and head of the AI Lab at data.world, and is also the co-host of the fantastic data podcast Catalog and Cocktails. 
    This episode tackles semantics, semantic web, Juan’s research in how raw text-to-SQL performs versus text-to-semantic layer,  and where we both believe AI will make an impact in the world of structured data analytics.
    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.

    • 48分
    The End of the Modern Data Stack (w/ Benn Stancil, Mode)

    The End of the Modern Data Stack (w/ Benn Stancil, Mode)

    Benn Stancil, cofounder and CTO at Mode, returns to The Analytics Engineering Podcast to discuss the evolution of the term "modern data stack" and its value today. Tristan wrote on this idea for The Analytics Engineering Roundup in Is the Modern Data Stack Still a Useful Idea?
    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.

    • 45分
    Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg)

    Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg)

    Moritz Heimpel from Siemens and Ben Flusberg from Cox Automotive have very similar jobs. They both act as stewards of the data strategies at large, complex companies.
    In this episode, we get into what it’s like to collaborate with data at scale. Ben and Mortitz share their experiences adopting a data mesh architecture and what that looks like at their organizations.
    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.

    • 46分

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