The Analytics Engineering Podcast cover art

All Episodes

The Analytics Engineering Podcast — 93 episodes

#
Title
1

Don't hand a bazooka to an agent making a sandwich (Jeremiah Lowin)

2

Roundup: a rogue agent, Kimi K3, and data teams in the AI era

3

Data lessons from inside Meta (Shridhar Iyer)

4

The scarce resource is consensus (Ian Macomber)

5

The context engineering playbook (Claire Gouze)

6

DuckDB's agent moment (Jordan Tigani)

7

The Iceberg ecosystem today (w/ Anders Swanson)

8

Apache Iceberg and the catalog layer (w/ Russell Spitzer)

9

AI and the data lake (w/ Lauren Anderson)

10

Inside Snowflake's AI roadmap (w/ Chris Child)

11

Building a multimodal lakehouse for AI (w/ Chang She)

12

Agentic coding in analytics engineering (w/ Mikkel Dengsøe)

13

Under the hood of Apache Iceberg (w/ Christian Thiel)

14

The pragmatic guide to AI agents in the enterprise (w/ Sean Falconer)

15

How Amazon S3 works (w/ Andy Warfield)

16

From Docker to Dagger (w/ Solomon Hykes)

17

The history and future of the data ecosystem (w/ Lonne Jaffe)

18

Everything terminals (w/ Zach Lloyd)

19

Why compilers matter (w/ Lukas Schulte)

20

The evolution of databases (w/ Wolfram Schulte)

21

Building a data team from the beginning (w/ Daniel Avancini)

22

Data engineering at Snowflake (w/ Rahul Jain)

23

The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer)

24

Making data movement as reliable as electricity (w/ Taylor Brown)

25

Data as an assembly line (w/ Cedric Chin)

26

The data jobs to be done (w/ Erik Bernhardsson)

27

Coalesce 2024 edition: What's next for data teams? (w/ Scott Breitenother)

28

The current state of the AI ecosystem (w/ Julia Schottenstein)

29

Creating value from GenAI in the enterprise (w/ Nisha Paliwal)

30

Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou)

31

The rapid experimentation of AI agents (w/ Yohei Nakajima)

32

Funnel analytics and AI models for event sequences (w/ Misha Panko)

33

From Moneyball to Gen AI

34

Being Pro-Human in the AI Era

35

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

36

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

37

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

38

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

39

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

40

Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke)

41

Navigating AI Complexity (w/ Jonathan Frankle)

42

Career Growth in Data Roles (w/ Hubspot's Kasey Mazza at Coalesce 2023)

43

Operationalizing Your Warehouse, Streaming Analytics, and Cereal (W/ Arjun Narayan of Materialize and Nathan Bean of General Mills)

44

Roche's Data Transformation Journey (w/ Yannick Misteli)

45

The State of Databases Today (w/ Andy Pavlo)

46

Bring Your Own Data to LLMs (W/ Jerry Liu of LlamaIndex)

47

Ramp's $8 Billion Data Strategy (W/ Ian Macomber and Ryan Delgado)

48

dbt Labs on dbt (w/ Daniel Le)

49

The Arc of Data Innovation (w/ Bob Muglia, former CEO of Snowflake)

50

It's 2023, and Privacy Is Now Fun! (w/ Ian Coe of Tonic.ai + Abhishek Bhowmick of Samooha)

51

Julia, Pedram Navid + Taylor Murphy Recap Data Council

52

Cloud Warehouse Cost Optimization (w/ Niall Woodward + Brad Culberson)

53

dbt Labs + Transform Join Forces on Metrics (w/ Nick Handel + Drew Banin)

54

What Can Generative AI Do for Data People? (W/ Sarah Nagy + Chris Aberger)

55

3rd Party Data, Demystified

56

A Romp Through Database History (w/ Postgres co-creator Mike Stonebraker + Andy Palmer)

57

What Does Apache Arrow Unlock for Analytics? (w/ Wes McKinney)

58

Minimum Viable Experimentation

59

The Data Generalist's Vision Quest (LIVE w/ Stephen Bailey)

60

Why You'll Need Data Contracts (w/ Chad Sanderson + Prukalpa)

61

How Does Data Drive Growth in Practice? (w/ Abhi Sivasailam)

62

Katie Bauer: Data Scientists Are Not Pizza

63

Data Activation Everywhere (w/ Julie Beynon of Clearbit)

64

The Personal Data Warehouse (w/ Jordan Tigani of MotherDuck)

65

Making Sense of the Last 2 Years in Data

66

Building an Open Source Company (w/ Aaron Katz of ClickHouse)

67

"To Move, or Not to Move" (Data). That is the Question.

68

What's The Role Of AI in BI?

69

Automating Away Your Work w/ Configuration-as-Code (w/ Sarah Krasnik)

70

The Hard Problems™️ of Data Observability w/ Kevin Hu of Metaplane

71

The Bundling vs Unbundling Debate w/ Tristan, Benn Stancil and David Jayatillake

72

One Database to Rule All Workloads? With Jon "Natty" Natkins of dbt Labs

73

Ashley Sherwood (AE @ Hubspot): Permissionless Innovation for Data Teams

74

Tristan in the Hot Seat

75

[COALESCE] Down With "Data Science" w/ Emilie Schario of Amplify Partners

76

[COALESCE] Peeking Into the Future of Data Analytics w/ Julia

77

[COALESCE] The Modern Data Experience w/ Benn Stancil of Mode

78

[COALESCE] Data Analytics In A Snowflake World ft. Christian Kleinerman

79

[COALESCE] You Don't Need Another Database W/ Reynold Xin of Databricks and Drew Banin of dbt Labs

80

[COALESCE] How big is this wave? Ft. Martin Casado of a16z

81

[COALESCE] Scaling Knowledge > Scaling Bodies: Why dbt Labs is making the bet on a data literate organization (ft. Erica Louie of dbt Labs!)

82

DeVaris Brown: Bringing Streaming Data to Analysts

83

David Jayatillake: Should Great Data People Become Managers or Not?

84

Julien Le Dem: Why Data Lineage Matters

85

Benn Stancil: Friday Night (Data) Fights

86

Seth Rosen: On Becoming a Full-stack Data Analyst

87

Brittany Bennett: Training the Next Generation of 'Data for Good' Practitioners @ Sunrise Movement

88

Caitlin Colgrove (CTO @ Hex): Notebooks for the Rest of Us

89

Erik Bernhardsson: The Missing Tool in the Data Team's Toolbox

90

Meet Co-Host Julia Schottenstein

91

Brian Amadio: The Practice of Experimentation @ Stitch Fix

92

Venkat Venkataramani: The Future is Real-time

93

Robert Chang: Building the Minerva Metrics Store @ Airbnb