Subjects / Data engineering

Best books to learn Data engineering, in order

Data engineering is really distributed systems wearing a data hat, so a reading order that skips the fundamentals leaves you cargo-culting pipelines. The arc runs from data modeling and SQL, through batch and streaming processing and the storage-and-orchestration stack, into the distributed-systems trade-offs (consistency, partitioning, fault tolerance) that explain why the tools behave the way they do.

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Reading paths for data engineering

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