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Data EngineeringA collection of 5 posts

Master the ETL/ELT processes, data pipelines, and modern data stack technologies powering AI and analytics.

Difficulty

Every day, your data lake ingests 20 million client records. If you store all these records, you will accumulate around 7.3 billion records per year (and Jeff Bezos will definitely love charging you for that 🤑!).

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