Microsoft Fabric OneLake & Databases Full Overview

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In this video, you will learn how Microsoft Fabric data stores work and how they all connect through OneLake, the unified data lake in Microsoft Fabric. We cover the core Fabric analytical data stores including Lakehouse, Warehouse, and Eventhouse, and explain when to use each one in real-world data architectures.

You will also learn the fundamentals of Delta Lake (Delta Parquet), the default table format used across OneLake, and how Fabric separates storage and compute using a serverless capacity-based model. The video explains important Fabric concepts such as Shortcuts, Mirroring, and OneLake availability, and how they help reduce data duplication while enabling near real-time analytics.

In addition, we cover how transactional databases in Fabric differ from analytical data stores, including Fabric SQL Database and Cosmos DB, and how their data is automatically mirrored into OneLake for analytics without impacting application workloads.

What you will learn
- Microsoft Fabric data stores overview
- OneLake architecture and unified storage model
- Delta Lake and Delta Parquet basics
- Lakehouse concepts, use cases, and demo
- Warehouse concepts, T-SQL support, and demo
- Eventhouse for real-time and streaming analytics
- KQL fundamentals and Eventhouse limitations
- Shortcuts vs mirroring in Microsoft Fabric
- Analytical vs transactional databases
- Fabric SQL Database and Cosmos DB explained
- Automatic mirroring of OLTP data into OneLake

00:00 OneLake
08:45 Lakehouse
21:01 Warehouse
31:23 Eventhouse
45:20 Databases

#microsoftfabric #dp700 #dp600 #OneLake

Видео Microsoft Fabric OneLake & Databases Full Overview канала Aleksi Partanen - Master Microsoft Fabric