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Databases, SQL, and Data Pipelines
index.html
Preface
Databases and SQL Foundations
Relational Databases and Tables
Querying Data with SQL
Filtering, Aggregation, and Grouping
Joins and Relational Thinking
Database Design and Normalization
SQL and Python Integration
From Queries to Pipelines
From Scripts to Data Pipelines
Pipeline Case Study and Architecture
Data Sources and Ingestion
Extraction Patterns and APIs
Transformation and Data Quality
Storage Formats and Partitioning
Orchestration and Reliable Operations
Orchestration and Scheduling
Testing, Monitoring, and Observability
Recovery, Idempotency, and Backfills
Production Data Systems
Security, Governance, and Lineage
CI/CD and Pipeline Environments
End-to-End Pipeline Case Study
Appendices
Appendix
References
Databases, SQL, and Data Pipelines
From Foundational Queries to Reliable Production Workflows
Published
Aug 2026
Free Guide · Updated Aug 2026
Preface
