Overview

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

Why Choose KORNERSTONE

  • Accredited, practitioner-led, expert certificate trainers to provide high quality training
  • Official training material included
  • Practical, scenario-based learning – focus on application, not just theory
  • Excellent Passing Rate

Skills Covered

  • 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
  • Secure a Microsoft Fabric data warehouse

Prerequisites

  • You should be familiar with Microsoft Fabric interface, basic data concepts and terminology.

Target Audience

  • Data Analyst
  • Data Engineer

Course Curriculum

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.

Learning objectives

In this module, you learn how to:

  • Describe data warehouses in Fabric.
  • Understand a data warehouse vs a data Lakehouse.
  • Work with data warehouses in Fabric.
  • Create and manage fact tables and dimensions within a data warehouse.

 

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.

Learning objectives

In this module, you’ll:

  • Learn different strategies to load data into a data warehouse in Microsoft Fabric.
  • Learn how to build a data pipeline to load a warehouse in Microsoft Fabric.
  • Learn how to load data in a warehouse using T-SQL.
  • Learn how to load and transform data with dataflow (Gen 2).

 

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.

Learning objectives

In this module, you’ll:

  • Use SQL query editor to query a data warehouse.
  • Explore how visual query editor works.
  • Learn how to connect and query a data warehouse using SQL Server Management Studio.

 

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.

Learning objectives

After completing this module, you’ll be able to:

  • Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app.
  • Monitor current activity in the data warehouse with dynamic management views.
  • Monitor querying trends with query insights views.

 

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.

Learning objectives

In this module, you’ll:

  • Learn the concepts of securing a data warehouse in Microsoft Fabric.
  • Learn how to implement dynamic data masking to obscure sensitive information.
  • Learn how to configure row-level security to provide granular control.
  • Learn how to implement column-level security to protect sensitive data.
  • Learn how to configure granular permissions using T-SQL.

 

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Dates & Locations

October 19, 2026

Location: Online
Format: Live Virtual
Availability: TBC

Exam & Certification

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement a data warehouse in Microsoft Fabric, including:

  • Creating a data warehouse
  • Loading, transforming, and querying data
  • Modeling a star schema
  • Managing security

Candidates for this credential should be familiar with data modeling, data transformation, and exploratory data analytics. They should also be able to query and change data by using T-SQL.

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