Mirroring Cosmos DB NoSQL database into Fabric Demo #CloudNerchuko #MicrosoftFabric

In this tutorial, we explore the powerful Mirroring capability in Microsoft Fabric using Azure Cosmos DB for NoSQL.

Mirroring allows you to bring your operational data into the Fabric OneLake in near real-time, enabling seamless analytics without the need for complex ETL pipelines. I’ll walk you through the essential prerequisites—including how to configure continuous backups—and demonstrate a full hands-on exercise: from ingesting data into Cosmos DB to querying it instantly using Fabric's SQL Analytics endpoint.

🚀 In This Video, We Cover:

Mirroring Overview: What is Fabric Mirroring and how does it benefit cloud architects?

Pricing & Capacity: Understanding the free storage limits (up to 64TB for trial users) and the pay-as-you-go costs.

Prerequisites: Setting up your Cosmos DB NoSQL API account with Continuous Backups and Public Access.

Hands-on Demo: Creating a new database and container, and ingesting sample JSON data.

Fabric Implementation: Establishing the connection between Azure Cosmos DB and Microsoft Fabric.

Near Real-Time Analytics: Querying mirrored data using T-SQL and testing sync latency with new records.

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🔗 Resources Mentioned:

Microsoft Fabric Pricing: https://azure.microsoft.com/en-us/pricing/details/microsoft-fabric/

Azure Cosmos DB Mirroring Documentation: https://learn.microsoft.com/en-us/fabric/database/mirrored-database/azure-cosmos-db-overview

Video Timeline
[00:00] Introduction to Cosmos DB Mirroring in Microsoft Fabric
[00:43] Mirroring Overview: Native NoSQL API Integration
[01:03] Pricing Breakdown: Storage Limits and Capacity Costs
[03:04] Critical Prerequisites: Continuous Backups and Networking
[04:45] Hands-on: Creating a Cosmos DB Database and Container
[05:21] Generating and Ingesting Sample JSON Data via Copilot
[06:50] Microsoft Fabric Setup: Creating a New Workspace
[07:31] Establishing the Mirroring Connection in Fabric
[08:48] Selecting Containers and Provisioning the Mirror Database
[10:07] Exploring the SQL Analytics Endpoint
[10:55] Querying Mirrored Data using T-SQL
[12:37] Testing Real-Time Latency: Ingesting a Second Record
[14:14] Verifying the Sync and Final Results

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