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This article explains the cost implications of mirroring Unity Catalog data from Azure Databricks to Microsoft Fabric, helping you plan and optimize data architecture with minimal surprises.
In this video, I covered how to mirror Azure Databricks Unity Catalog in Microsoft Fabric for downstream analysis in Power BI Service.
Mirroring in Microsoft Fabric enhances data reliability and availability by creating redundant copies of data across multiple locations. This ensures high availability, fault tolerance, and rapid disaster recovery.
In this Definitive Guide to Mirror Azure SQL Database in Fabric Warehouse episode, I am going to walk you through how to -- Enabling System Assigned Managed Identity required to publish data to Fabric Onelake. -- Connect to Azure SQL logical server using SQL Server Mgt Studio. -- Create Microsoft Entra ID authenticated login in the master database. -- Switch Database we want to Mirror in Fabric. -- Create database user to connect to the Entra ID login created above. -- Create and Insert records to SalesData table and ensure it contains primary key. -- Set up Mirroring in Fabric Warehouse workspace. -- Mirror the replicated Salesdata table in SQl Analytics Endpoint. -- Create insert new records to the SalesData from the SSMS, replicate again and query the table to see new records. -- Create product table, insert records and replicate to see the new table replicated for querying. -- Talk about the observed limitation.
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