We provide virtual course about DP-602: Implement a Data Warehouse with Microsoft Fabric. Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.
Prepare for your Applied Skills credential:
This one-day, instructor-led training is recommended as preparation for the assessment Implement a data warehouse in Microsoft Fabric. Microsoft Applied Skills is a new scenario-based credential that proves your proficiency in skill sets specific to critical business problems, so you can make a bigger impact on your projects, your organization, and your career.
Course outline:
Module 1 - Get started with data warehouses in Microsoft Fabric:
• Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-to-end analytics solution.
Module 2 - Load data into a Microsoft Fabric data warehouse:
• Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.
Module 3 - Query a data warehouse in Microsoft Fabric:
• Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.
Module 4 - Monitor a Microsoft Fabric data warehouse:
• A data warehouse is a vital component of an enterprise analytics solution. It's important to learn how to monitor a data warehouse so you can better understand the activity that occurs in it.
Module 5 - Secure a Microsoft Fabric data warehouse:
• Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.
Target audience:
Role: Data Engineer
Prerequisites:
• You should be familiar with basic data concepts and terminology
Level:
• Intermediate level
Course material:
Digital course documentation