Microsoft Fabric: Data Warehouse vs Lakehouse vs KQL Database

Video Description

Download the data store comparison PDF here: https://www.skool.com/microsoft-fabric/classroom/d154aad4?md=f52947275c0d4db68b1d1ad9e93c5a6a Looking for Fabric consultancy? Fill in this form: https://forms.office.com/e/h5FaVBwQ7s In Microsoft Fabric, we have the data warehouse, the lakehouse and the KQL database as options to choose from if we want to store some data, BUT which of these should YOU choose? And how should you begin to decide? This video steps through the data warehouse, the lakehouse and the KQL database in detail, comparing their features and limitations, so that can make the right decision for your business. Towards the end of the video, we look at how to combine these data stores into end-to-end architectures (medallion architecture). Catch up on the Power BI to Microsoft Fabric Transition Guide series here: https://www.youtube.com/playlist?list=PLug2zSFKZmV3eee0W2PJU8XNJbu1dn3-P Timeline 0:00 Intro 1:08 It's all delta parquet 2:30 Lakehouse overview 7:17 Data Warehouse oveview 8:28 KQL Database overview 11:05 Side-by-side comparison 12:07 Data Types 13:08 Languages 15:00 Copilot + low/no code 16:45 Ecosystems 18:40 Security granularity options 20:55 Typical Workloads 22:33 Other unique features (including Git) 23:49 Personas 24:36 Practical applications (end-to-end examples) #microsoftfabric #powerbi #dataanalytics