Learning Fundamentals of Data Engineering

Part 2 – The Data Engineering Lifecycle in Depth 🔬

Then we move onto the second part of the book, which helps us understand the core idea.

Use the navigation to read each chapter.

Contents

  • 5. Data Generation in Source Systems
  • 6. Storage
  • 7. Ingestion
  • 8. Queries, Modeling, and Transformation
  • 9. Serving Data for Analytics, Machine Learning, and Reverse ETL
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