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Microsoft Fabric Updates Blog

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Lakehouse vs Data Warehouse vs Real-Time Analytics/KQL Database: Deep Dive into Use Cases, Differences, and Architecture Designs

  • Headshot of article author detsember 13, 2023 korda Marc Bushong 174 949 Vaatamised

With the general availability of Microsoft Fabric this past Ignite, there are a lot of questions centered around the functionality of each component but more importantly, what architecture designs and solutions are best for analytics in Fabric. Specifically, how your data estate for analytics data warehousing/reporting will change or differ from existing designs and how to choose the right path moving forward. This article will be focused on helping you understand the differences between the Data Warehouse and Data Lakehouse, Fabric solution designs, warehouse/lakehouse use cases, and to get the best of both Data Warehouse and Data Lakehouse.

Microsoft Fabric November 2023 Update

Welcome to the November 2023 update.   We have lots of features this month including Narrative visual with Copilot, cross workspace “save as” for Data Factory, the general availability of Semantic model scale-out, and many more. Continue reading for more details on our new features!  Contents Core Microsoft Fabric User API Power BI Reporting Button slicer  … Continue reading “Microsoft Fabric November 2023 Update”

Fabric workloads are now generally available!

Microsoft Fabric is now generally available! Fabric brings together the best of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory into a single software as a service (SAAS) platform. Fabric provides multiple workloads purpose-built for specific personas and specific tasks. Keep reading to learn about all of Fabric’s workloads! Synapse Data Warehouse We … Continue reading “Fabric workloads are now generally available!”

Fabric Changing the game: Validate dependencies with Semantic Link – Data Quality

As we embark on our quest to unravel the mysteries of the data within Fabric, a world of possibilities awaits. Let’s continue our journey in understanding and exploring the data. In this installment, our attention is directed to how to explore the functional dependencies -relationships between columns in a table. With a specific focus on … Continue reading “Fabric Changing the game: Validate dependencies with Semantic Link – Data Quality”

Fabric Changing the game: Using your own library with Microsoft Fabric

Unlock the Power of Reusing Your Library in the Lakehouse with This Step-by-Step Guide. Fabric provides you with different options to build your analytics solution. If you decide to use Lakehouse and code your solution with Python you may want to reuse some functions and reuse certain business logic across your code. Once your library … Continue reading “Fabric Changing the game: Using your own library with Microsoft Fabric”