Microsoft Fabric: Lakehouse, Data Warehouse and KQL Database comparison!
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Demystifying Microsoft Fabric Data Stores and OneLake
Confused about the different data stores in Microsoft Fabric? Wondering how the Lakehouse, Data Warehouse, and KQL Database relate to OneLake? In this video, Aleksi provides a detailed overview of these data stores, their unique features, and how they fit into the unified OneLake architecture. Perfect for data engineers, analysts, and decision-makers exploring Microsoft Fabric!
What You’ll Learn:
🔷 The key features and use cases of the Lakehouse, Data Warehouse, and KQL Database
🔷 How shortcuts bring external data stores (like AWS S3, Google Cloud) into Fabric seamlessly
🔷 OneLake explained: A single data repository for all Fabric data
🔷 A hands-on demo: Exploring data in OneLake via file explorer
Key Takeaways:
✨ Understand the versatility of Lakehouse for structured and unstructured data
✨ Learn how Data Warehouse enhances modeling and SQL-based analytics
✨ Discover how KQL Database handles real-time and event-based data streams
✨ Explore how OneLake unifies all data stores with Delta format
Related Hashtags:
#MicrosoftFabric #DataEngineering #OneLake #Lakehouse #DataWarehouse #KQLDatabase #UnifiedDataPlatform #DataShortcuts #CloudDataManagement #AzureFabric #DeltaLake #MicrosoftAzure