- The Finish Slime
- Finish Slime #32
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!
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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And of course this exclusive gift! Data Engineering Reading Guide - the best books, articles & resources you must read!
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