Lesson 2: Data Design, Integration, Transformation, and Quality

This lesson develops practical understanding of data design, integration, transformation, and quality for the DFAB1: Data Fabric – Smart Data Engineering, Operations, and Orchestration Training.

Topics Covered

• Data mapping, extraction, transformation, loading, replication, or query workflow
• Stages, rules, joins, lookups, calculations, standardization, and matching concepts
• Metadata management, lineage, cataloging, modeling, and reusable components
• Error handling, rejects, checkpoints, and data-quality validation
• Building a structured data-processing workflow

Lesson Outcome

Learners complete this lesson with the ability to explain, apply, validate, and troubleshoot the covered data workflow.