Data Engineering And Warehousing With Modern Pipelines

Study guide for Data Engineering And Warehousing With Modern Pipelines — generated by NSAF StudyWS pipeline.

Chapter Guides

  1. 1 Foundations of Modern Data Engineering
  2. 2 The Lakehouse Paradigm
  3. 3 Storage Foundations and Open Table Formats
  4. 4 Batch Ingestion and ETL/ELT Pipelines
  5. 5 Streaming Ingestion and Real-Time Pipelines
  6. 6 Distributed Processing with Spark and EMR
  7. 7 Cloud Data Warehousing with Redshift
  8. 8 Interactive Querying and Federated Analytics
  9. 9 Workflow Orchestration with Airflow and MWAA
  10. 10 Zero-ETL and SaaS Integration
  11. 11 Data Governance, Catalog, and Access Control
  12. 12 Search, Logs, and Observability with OpenSearch
  13. 13 BI, ML, and Cost Optimization in Production