Microsoft Fabric OneLake & Databases Full Overview

🔥 Learn Microsoft Fabric hands-on! 👉 https://www.skool.com/fabricforge 🔥 Ace Your Certification Exams – Free Practice Questions! 👉 https://certiace.com/ ☕ Enjoying the Content? Support the Channel! 💖 https://buymeacoffee.com/aleksipartan... 👨‍💼 Follow Me on LinkedIn! 🔗   / aleksi-partanen   🚨 Join the Free Microsoft Fabric Community on Discord! 👉   / discord   📚 Recommended courses on Datacamp: Python Data Fundamentals: https://datacamp.pxf.io/c/6429510/312... Data Analyst in Python: https://datacamp.pxf.io/c/6429510/312... SQL Fundamentals: https://datacamp.pxf.io/c/6429510/312... Power BI Fundamentals: https://datacamp.pxf.io/c/6429510/291... PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6429510/312... Data analyst in Power BI: https://datacamp.pxf.io/c/6429510/312... More courses: https://datacamp.pxf.io/c/6429510/207... These are affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. Thanks for supporting the channel. 📂 Access Learning Materials (Files, Code, etc.) 💾 Download helpful resources here: 🔗 https://drive.google.com/drive/folder... 🎓 More of My Content: 🎥    • DP-700 Microsoft Certified: Fabric Data En...   🎥    • Microsoft Fabric Data Engineering   🎥    • Microsoft Fabric Tutorials   🎥    • DP-600 Microsoft Certified: Fabric Analyti...   🎥    • Learn Azure Data Factory in 2026 - Full Co...   🎥    • Learn Microsoft Fabric Data Pipelines in 2...   🎥    • Learn Microsoft Fabric Notebooks in 2026 -...   🔗 All the Videos:    / @aleksipartanentech   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