ETL Development Operations

What You Will Learn

• 1 Learn the foundational concepts of ETL development, including pipeline lifecycle and architectural patterns.
• 2 Understand data extraction techniques from various sources such as databases, APIs, and files.
• 3 Apply transformation strategies including cleansing, enrichment, and aggregation using efficient code.
• 4 Implement loading patterns for data warehouses, data lakes, and real-time systems.
• 5 Create orchestration workflows to schedule, sequence, and manage ETL jobs reliably.
• 6 Develop testing strategies for data quality, schema validation, and regression prevention.
• 7 Build monitoring, logging, and alerting systems to detect pipeline failures and data anomalies.
• 8 Analyze performance bottlenecks and apply optimization techniques for faster data processing.
• 9 Explore security and compliance considerations for data pipelines handling sensitive information.
• 10 Implement DevOps practices such as CI/CD, version control, and infrastructure as code for ETL.