Next Gen Data Lake & Data Warehouse
summary
Overview of Microsoft’s next-generation Data Lake and Data Warehouse innovations: describes Microsoft technologies that enable a Data Mesh-style architecture for better data discovery and reuse, and a new data warehousing capability that simplifies secure ingestion, transformation, sharing, and analysis at scale for consumers and data engineers.
AI-written summary · about
chapters (18)
- 0:00Introduction
- 1:25Microsoft Fabric overview
- 3:12Speaker’s data experience
- 5:19Modern data architectures
- 7:24OneLake introduction
- 10:15OneLake details and shortcuts
- 13:22Data engineering in Fabric
- 18:00Lakehouse and components
- 21:15Notebooks and Spark in Fabric
- 25:56Data warehouse vs Lakehouse
- 31:56Real-time analytics and KQL
- 34:47Power BI integrations
- 35:09Data science in Fabric
- 36:56Artifacts overview
- 38:24Microsoft Fabric benefits
- 39:28Data Activator advanced features
- 41:59Resources and useful links
- 42:21Q&A
related talks
52mData Warehouse, Data Lake, Data Mesh, Oh My: The History of Data Storage
36mIntroducing Data Mesh A Paradigm Shift In Analytical Data Management Architecture
22mA Microsoft Hybrid Approach to Data Mesh and Data Fabric
48mData Mesh Paradigm Shift in Data Platform Architecture -
40mData Lake House in the Cloud: The Azure Solutions
44mWhat's the Best Big Data Architecture for You?
31mData Warehouses Meet Data Lakes
26mModernize your Enterprise Data Warehouse & generate value from data
