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In this course, you will learn:
- Covers the methodologies and procedures for implementing and managing enterprise-scale data analytics solutions with Microsoft Fabric.
- How to design and deploy analytics assets using Microsoft Fabric components such as lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, building on their prior analytics skills. This course is ideal for those with the PL-300 certification or similar experience using Power BI for data transformation, modeling, visualization, and sharing.
- Additionally, learners should have past experience developing and deploying data analytics solutions at the enterprise level.
Syllabus:
- 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
