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Data Engineering with Airflow and dbt

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A hands-on data engineering book covering Airflow orchestration, dbt transformations, ingestion, modeling, tests, lineage, freshness, backfills, warehouses, and production data operations.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: Modern Data Engineering Workflow02Chapter 2: Data Sources, Warehouses, and Lakehouse Concepts03Chapter 3: Batch Pipelines, Schedules, and Dependencies04Chapter 4: Data Contracts, Ownership, and Quality05Chapter 5: DAG Design and Task Boundaries06Chapter 6: Sensors, Retries, Backfills, and Catchup07Chapter 7: Connections, Secrets, and Environment Strategy08Chapter 8: Monitoring Airflow Pipelines09Chapter 9: Sources, Models, Seeds, and Snapshots10Chapter 10: Testing Data Models and Freshness11Chapter 11: Incremental Models and Performance12Chapter 12: Documentation, Lineage, and Semantic Layers13Chapter 13: Build an Orders Analytics Pipeline14Chapter 14: Build a dbt Model Testing Suite15Chapter 15: Backfill and Repair a Broken Pipeline16Chapter 16: Operate a Production Data Platform17Appendix E: Deeper Practice and Extra Examples
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