This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets. This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
Introduction to end-to-end analytics using Microsoft Fabric
Administer Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Ingest data with Spark and Microsoft Fabric notebooks
Use Data Factory pipelines in Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Organize a Fabric lakehouse using medallion architecture design
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor a Microsoft Fabric data warehouse
Understand scalability in Power BI
Create Power BI model relationships
Use tools to optimize Power BI performance
Enforce Power BI model security
SCARICA MODULO ISCRIZIONE
