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