Microsoft Fabric Updates Blog

Semantic Link: Data validation using Great Expectations

Great Expectations Open Source(GX OSS) is a popular Python library that provides a framework for describing and validating the acceptable state of data. It helps data engineers and data scientists ensure that their data meets specific quality standards before using it for analysis, machine learning, or other data-driven tasks. With the recent integration of Microsoft … Continue reading “Semantic Link: Data validation using Great Expectations”

Microsoft Fabric, explained for existing Synapse users

Earlier this year, at Microsoft Build, we introduced, in Public Preview, Microsoft Fabric, “the biggest data product announcement since SQL Server”. Today, we are announcing the General Availability of Microsoft Fabric. Arun explains in detail why we all believe Microsoft Fabric will redefine the current analytics landscape. I will focus here on what it means … Continue reading “Microsoft Fabric, explained for existing Synapse users”

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 … 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”