Archive - The Analytics Engineering Roundup

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

We're introducing a new, recurring podcast format. Jason Ganz joins Tristan to take on stories of the day.

Aug 6 • Dan Poppy

July 2026

Data lessons from inside Meta (Shridhar Iyer)

Shridhar Iyer spent 13 years inside Meta's data organization. He joins Tristan on what big tech takes for granted, why you never delete a column at…

Jul 30 • Dan Poppy

The scarce resource is consensus (Ian Macomber)

When building data artifacts is fast and cheap, the scarce resource is company-wide consensus. Ramp's Ian Macomber returns to talk about post-AI data…

Jul 16 • Dan Poppy

The context engineering playbook (Claire Gouze)

nao co-founder and CEO Claire Gouze shares a practical playbook for building a context layer your agents can rely on.

Jul 2 • Dan Poppy

June 2026

DuckDB's agent moment (Jordan Tigani)

The database built for your laptop turns out to be one built for your agents. MotherDuck Founder and CEO Jordan Tigani explains why.

Jun 18 • Dan Poppy

A Catalog Is All You Need

Last year I asked you to give Iceberg a REST. This year, it finally got one.

Jun 14 • Anders Swanson

Hunting for Tokens. Snowflake Summit. Agent Use Cases.

Things are not quieting down for the summer, that's for sure.

Jun 7 • Tristan Handy

May 2026

I built a (very small) long running agent

What do long running agents mean for data teams?

May 31 • Jason Ganz

I built a (very small) agent swarm.

What does the term 'agent swarm' mean? Is it bullshit? Can I build one?

May 26 • Tristan Handy

What data agent benchmarks do and don't tell us

And more from AI Council

May 17 • Jason Ganz

The computers talk to us now

It’s very easy to get lost in the details.

May 10 • Jason Ganz

BI’s Second Unbundling

Software engineering started eating data a decade+ ago; it just took a little while to get to the presentation layer.

May 3 • Tristan Handy

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