Introduction

Microsoft Fabric provides a powerful platform for managing and analyzing data efficiently. One essential capability within a Fabric warehouse is the ability to create tables, which form the foundation for structuring and storing data. Understanding how to define and create tables is crucial for managing datasets, running analytical queries, and optimizing performance within the warehouse.

For those preparing for the DP-600 certification exam, knowing how to create and manage tables in Microsoft Fabric is an important skill. In this tutorial, we’ll guide you through the steps to create a table in a Fabric warehouse using T-SQL.

📖 What is a Table?

A table in a Fabric warehouse is a structured collection of rows and columns where data is stored in a relational format. Tables enable efficient querying, filtering, and transformation of data within the Microsoft Fabric ecosystem.

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We are delighted to publish a hands-on guide to implementing end-to-end data projects in Microsoft Fabric. This hands-on book walks you through the key components and functionalities of Microsoft Fabric and invites you to actively follow the steps yourself.

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🎯 Goal

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Our goal is to create a table named student within a Fabric warehouse and insert sample data into the table.

✅ Prerequisites

Before you begin, ensure you have the following:

  • A warehouse created in your Fabric workspace.
How to create a Warehouse in Microsoft Fabric: A Step-by-Step Guide
Introduction Microsoft Fabric is a powerful All-in-One Data Platform (SaaS) in the Azure Cloud that combines various Azure components to cover the fields of Data Integration, Data Engineering, Data Science and Business Intelligence. One key component of the Microsoft Fabric architecture is the Warehouse. In this tutorial, we will explain

🏗️ Step 1: Create Table

Open your Fabric warehouse and click New SQL query.

The SQL editor opens.

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You can rename the SQL query to give it a more meaningful name.

Let's create a table named student in the schema dbo. To do this, enter the following T-SQL statement:

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