The Analytics Engineering Roundup

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

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

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

The Analytics Engineering Roundup

The internet's most useful articles on analytics engineering and its adjacent ecosystem. Curated with ❤️ by Tristan Handy.

Listen to the Podcast

Background reading

What is Analytics Engineering?

A canonical post by Claire Carroll

The Modern Data Stack

Past, present and future

Analytics is a Trade

A flow state activity that rewards concentration & deep experience

Building a Mature Analytics Workflow

The post that started it all

Communities we ❤️

The dbt Community

A group of data practitioners over 15k strong

Discuss the Roundup + Podcast

#analytics-engineering-roundup-and-podcast in dbt Community Slack

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