Fabric

SQL Meets Fabric (Series)

Explore the SQL Meets Fabric series! Learn how to migrate Azure SQL databases into Microsoft Fabric with tools like mirrored databases, DACPACs, and BACPACs. Unlock real-time analytics, modernize workflows, and bridge legacy SQL systems with Fabric’s cutting-edge ecosystem.

Hector Sven

24 Dec 2024 — 1 min read

Introduction

With Microsoft Fabric bringing a unified analytics platform to the forefront, integrating Azure SQL Databases into this ecosystem has become more essential than ever.

This series will dive into the step-by-step processes, tools, and best practices for transitioning SQL workloads into Fabric. From modernizing legacy databases to unlocking real-time analytics, this series will equip you with the knowledge and skills to leverage the full potential of Fabric’s capabilities.

Whether you're a DBA, data engineer, or analytics enthusiast, you'll find actionable insights, demos, and resources to guide your Fabric journey.

Series Overview

Part 1. Why SQL Databases are a Game-Changer

Microsoft Fabric introduces SQL Databases with built-in integration to Fabric’s analytics and data workflows. In this part, we’ll explore:

Why SQL Databases in Fabric are transformative.
How they preserve legacy SQL workloads with minimal disruption.

Part 2. Migrate and version-control your SQL workloads

In this article, I take a deep dive into:

Leveraging Database Projects for schema management.
Using DACPACs for controlled deployments.
Migrating complete schemas and data with BACPACs.

With step-by-step instructions and practical examples, this part ensures a seamless transition of your existing SQL workloads into Fabric.

Part 3: The Power of Mirrored Databases

Fabric Mirrored Databases eliminate the need for complex ETL pipelines by creating near real-time replicas of your Azure SQL databases. This part covers:

Setting up permissions and configuring connections.
Creating and testing mirrored databases in Fabric.
Best practices for schema evolution and use cases for real-time analytics.

What’s Next in the Series?

Stay tuned for upcoming articles where we’ll explore:

Performance Comparisons: Azure SQL vs. Fabric SQL Databases.
Deep Dive into Fabric Warehouses: Features, use cases, and best practices.
Data Engineering with Fabric: Leveraging pipelines and lakehouses.

These future articles will expand on the foundational concepts covered in this series and offer practical insights into advanced workflows.

SQL to Fabric: The Power of Mirrored Databases

Discover how Fabric Mirrored Databases revolutionize Azure SQL integration! Learn to mirror schemas and data in real-time into Microsoft Fabric’s ecosystem, enabling analytics and AI without complex ETL. Unlock seamless data workflows and maximize your SQL investments!

SQL Meets Fabric: Migrate and version-control your SQL workloads

Unlock the potential of Fabric SQL Databases! Learn how to migrate your SQL workloads using familiar tools like Database Projects, DACPACs, and BACPACs. Preserve your existing investments while embracing Fabric’s ecosystem with seamless schema and data transitions.

SQL Meets Fabric: Why SQL Databases Are a Game-Changer

Discover the new SQL Database experience in Microsoft Fabric! Learn how to create, manage, and migrate SQL databases with Git integration, Database Projects, and CI/CD workflows. Watch as I modernize an existing database seamlessly—perfect for SQL pros ready to embrace the future!

Automating workspace updates using Fabric's 'Update From Git' REST API.

In response to a reader's question, this article outlines my suggested approach to automating workspace updates using Fabric's 'Update From Git' REST API. I’ll explain how to streamline the process with commits pushed to the connected branch.