Tom Mitchell
@imtommitchell
I help ambitious professionals develop high paying data skills | Ex-Data @ Revolut | Building https://www.projecthive.dev to help data pros land jobs
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Yesterday I floated the idea for ProjectHive.dev - a platform to build a credible data profile based on peer recognition. It's clear: resumes and certificates aren't enough to stand out anymore. 20+ people have already signed up for early access. Want to help shape it?…
6 easy ways to lower your cloud data costs: 1. Partition big tables Only read the data you actually need—don’t scan the entire table every time. 2. Purge the unused Old tables and datasets are just money sitting there. Delete them regularly. 3. Think compute costs > storage…
Hard truth: Data work no one uses is a hobby, not a professional asset. Your technical skills get the project built. Your communication skills get it adopted. And being able to nail both is what high paying data careers are built on.
Btw (I only found this out recently) if you use chrome, you can type in docs.new and sheets.new and it’ll open up a new gdoc or gsheet Game changer
Partitioning data doesn't always = better performance If your tables are too small, you can create the "small files problem". This happens when a partition is created for every value of a column (like country or date), but each partition contains only a tiny amount of data.…
Most data engineering failures aren't technical failures. They're communication failures.
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