Finish Slime #32

Rewriting DataHub, DE at Meta, Dbt

Data Engineering, Analytics. No ML, no AI. The weekly dose of the data content you actually want to read!

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Great Recent Stuff

One of the top contributors to the open-source project DataHub talks about the difficult technical decisions they are currently taking to redo the DataHub project.

Dbt Coalesce is a huge conference for data professionals; as always, DbtLabs provides a nice wrap-up of the big themes from the event.

The article promises what the title says, covering a lot of the infrastructure stack Meta features, including the real-time analytics tools or the notebook engines.

The three recipes focus on the responsibilities of a data team, aligning expectations and working with team size under pressure.

This is a hands-on evaluation of dbt inside the company Intercom. It closely evaluates different features and design changes you must make when migrating onto dbt.

Analyzing things that happen in a sequence, you may call it events, or tracking, or whatever, the question is, how to tackle those with SQL best?

I can never get enough of those little comparisons. All data teams will, at some point, need an orchestrator, be it Airflow, Kestra (coming strong this year) or Prefect.

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