4Analytics Workloads on Azure
- 4.1The Analytics Pipeline, Data Warehouse, and Data Lake
Understand the typical analytics pipeline (ingest → process → store → visualize), the difference between a data warehouse and a data lake, and ETL/ELT.
- 4.2Azure Analytics Services
Understand the Azure services behind the analytics pipeline—Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics—and their roles.
- 4.3Power BI and Batch vs. Stream Processing
Understand data visualization with Microsoft Power BI (reports/dashboards) and the difference between batch and stream processing.
- 4.4Microsoft Fabric (Unified Analytics Platform)
Understand Microsoft Fabric, which became the center of the DP-900 analytics domain in the 2026 update. Fabric is a SaaS unified analytics platform bundling ingestion, data engineering, warehousing, real-time analytics, data science, and Power BI—all running on a single data lake, OneLake.

