Browse by Topic

Comprehensive resources for major data engineering subjects--from Azure Data Factory to data governance

Pipeline design, orchestration, and best practices for Azure Data Factory V2.

Strategies for migrating legacy systems to Azure, Databricks, and Microsoft Fabric.

Unity Catalogue, RBAC, row-level security, and compliance frameworks.

Kimball methodology, dimensional modeling, star schema, and lakehouse patterns.

Lakehouse architecture, Delta Lake, Delta Live Tables, and optimization patterns.

OneLake, Data Engineering, Data Warehouse, and the unified analytics platform.

Pipeline tuning, partition strategies, and query optimization techniques.

DAX, data modeling, governance, and enterprise report development.