Fabric Espresso – Episodes about Data Warehousing & Storage Solutions in Microsoft Fabric
For the past 1.5 years, the Microsoft Fabric Product Group Product Managers have been publishing a YouTube series featuring deep dives into Microsoft Fabric’s features. These episodes cover both technical functionalities and real-world scenarios, providing insights into the product roadmap and the people driving innovation. With over 80+ episodes, the series serves as a valuable resource for anyone looking to understand and optimize their use of Microsoft Fabric.
All episodes are available at https://aka.ms/fabric-espresso making it easy to explore the entire catalog. However, to enhance the learning experience, we are launching a short series of blog posts that will categorize the episodes into thematic groups, providing explanations and key takeaways for each.
Fabric Espresso & Data Warehousing & Storage Solutions
This week, we focus on Data Warehousing & Storage Solutions in Microsoft Fabric. Below is a curated list of episodes that explore various aspects of data warehousing, storage patterns, performance optimizations, and best practices for data management.
Episodes on Data Warehousing & Storage Solutions:
1. T-SQL support in Microsoft Fabric Notebooks
3. Custom schema and multipart naming in Microsoft Fabric Lakehouse
4. Ingesting data into Fabric Warehouse
5. Mirroring
6. Optimize Warehouse costs with capacity pause and resume
7. Automate your interactions with Fabric Warehouse
8. Consume Warehouse data from other services
9. Automated maintenance features in Fabric Warehouse
10. CSV ingestion performance improvements
11. Microsoft Fabric Capacity Smoothing and Data Warehouse Throttling
12. Permissions in Microsoft Fabric Workspace and SQL
13. Row-Level security in Fabric Warehouse & SQL Endpoint
14. Caching in data warehousing
15. Utilization Reporting for Warehouse
16. Getting data into your Microsoft Fabric Lakehouse using Load to Tables
17. Granular Access Control for Warehouse!
18. Learn to Share a Microsoft Fabric Warehouse!
19. Performance at Scale with Microsoft Fabric: Concurrency!
20. Performance at Scale with Microsoft Fabric: Query Optimizations!
21. Performance at Scale with Microsoft Fabric: Query Processing!
22. Fabric Espresso: Table clone in Warehouse within Microsoft Fabric
