Overview
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, modelling, visualisation, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
This course prepares you to take the Microsoft Fabric Analytics Engineer (DP-600) exam to achieve the Microsoft Certified: Fabric Analytics Engineer Associate certification.
Who is this course for?
The primary audience for this course is data professionals with experience in data modelling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Course Syllabus
- Explore end-to-end analytics with Microsoft Fabric
- Administer Microsoft Fabric
- Get started with lakehouses in Microsoft Fabric
- Use Apache Spark in Microsoft Fabric
- Work with Delta Lake tables in Microsoft Fabric
- Secure your Fabric lakehouse
- Ingest data with Dataflows (Gen2) in Microsoft Fabric
- Use Data Factory pipelines in Microsoft Fabric
- Ingest data Spark and Microsoft Fabric notebooks
- Organise a Fabric lakehouse using medallion architecture
- Get started with data warehouses in Microsoft Fabric
- Load data into a Microsoft Fabric data warehouse
- Query a data warehouse in Microsoft Fabric
- Monitor and optimise a Microsoft Fabric data warehouse
- Secure a warehouse
- Understand scalability in Power BI
- Create Power BI model relationships
- Use tools to optimise Power BI performance
- Enforce Power BI model security
