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Modern ETL with Azure Data Factory

Automated, idempotent, monitored pipelines

Build ETL pipelines that don't break at 3am. Incremental ingestion, error handling, parameterization, CI/CD and orchestration patterns battle-tested in production on multi-country projects.

What you get

  • 210 pages of production-ready patterns
  • Exportable example pipelines (JSON)
  • Incremental ingestion and CDC patterns
  • Monitoring and alerting strategies

Contents

  1. 1Architecture of a reliable pipeline
  2. 2Incremental ingestion and watermarking
  3. 3Parameterization and reusable pipelines
  4. 4Error handling and retries
  5. 5CI/CD with Git and environments
  6. 6Integration with Databricks and Delta Lake