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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
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