Data Quality, Governance & Observability

Discipline: Data Engineer | Module: Module 3: ETL/ELT Pipeline Engineering, Streaming & Orchestration | Estimated Study Time: 20 Hours

Welcome to Data Quality, Governance & Observability. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

1. Data Validation Frameworks (Great Expectations, Soda, Pydantic data schemas)
2. Lineage & Metadata Catalogs (OpenLineage, Apache Atlas, Amundsen)

Detailed Curriculum Breakdown

Data Validation Frameworks (Great Expectations, Soda, Pydantic data schemas)

Explore the fundamental principles, real-world patterns, and best practices for Data Validation Frameworks (Great Expectations, Soda, Pydantic data schemas). Practice hands-on implementations to master these concepts.

// Code Example: Data Validation Frameworks (Great Expectations, Soda, Pydantic data schemas)
// Implement verified patterns for production use
console.log("Mastering Data Validation Frameworks (Great Expectations, Soda, Pydantic data schemas)");

Lineage & Metadata Catalogs (OpenLineage, Apache Atlas, Amundsen)

Explore the fundamental principles, real-world patterns, and best practices for Lineage & Metadata Catalogs (OpenLineage, Apache Atlas, Amundsen). Practice hands-on implementations to master these concepts.

// Code Example: Lineage & Metadata Catalogs (OpenLineage, Apache Atlas, Amundsen)
// Implement verified patterns for production use
console.log("Mastering Lineage & Metadata Catalogs (OpenLineage, Apache Atlas, Amundsen)");

Practical Application & Exercises

1. Architecture Review: Evaluate how Data Quality, Governance & Observability integrates with upstream and downstream systems.
2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist

• Studied foundational architecture for Data Quality, Governance & Observability
• Completed practical coding challenge
• Validated edge cases and error handling routines