This Microsoft Fabric Analytics training course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. You 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.
By attending Microsoft Fabric Analytics workshop, delegates will learn to:
- Implement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integration
- Access external data sources, configure authentication, and optimize data intake for Fabric lakehouses
- Learn techniques to load data into Fabric lakehouses as files or Delta tables
- Understand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flows
- Design and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQL
- Apply the principles of the medallion architecture within the Fabric environment for effective data management
- Analyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilities
- Configure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data frames
- Understand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformations
- Differentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL.
- 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, delegates should have prior experience in building and deploying data analytics solutions at the enterprise level.
The Microsoft Fabric Analytics class is ideal for:
- Data Analysts
- Data Engineers