Microsoft Fabric Updates Blog

Analyze Dataverse tables from Microsoft Fabric

We are excited to announce we’ve made it easier than ever for Dynamics 365 and Power Apps customers to extend their insights into Fabric. In November 2023 we announced the ability to Link to Fabric from the Power Platform Maker Portal. This allows makers to easily analyze their data in Fabric through a single action … Continue reading “Analyze Dataverse tables from Microsoft Fabric”

Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL

Within Microsoft Fabric, Delta Tables serve as a common file/table format. These tables find application both in the Data Warehouse and as managed tables within the Lakehouse. Their versatility extends to several features and functionalities, making them indispensable in various use cases. One such feature is the Delta Change Data Feed. While not new to Microsoft Fabric, this … Continue reading “Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL”

Browse Azure resources with Get Data

With the new ‘browse Azure’ functionality in Get Data, you can easily browse all your Azure resources and automatically connect to them, without going through manually setting up a connection, saving you a lot of time. Using the regular path in Get Data to create a new connection, you always need to fill in your … Continue reading “Browse Azure resources with Get Data”

Protect PII information in your Microsoft Fabric Lakehouse with Responsible AI

Organizations, data analysts and data scientists need to protect the personally identifiable information (PII) of their clients, such as names, addresses, emails, phone numbers, or social security numbers (SSN), that they use to build reports and dashboards. PII can pose risks to both the data subjects and the data holders and can introduce security breach … Continue reading “Protect PII information in your Microsoft Fabric Lakehouse with Responsible AI”

Updates to default data destination behavior in Dataflow Gen2

When you have a Lakehouse or Warehouse and you want to load data into it, you can use Dataflow Gen2 as an easy, low-code way for landing your data with the right shape. You can always create a stand-alone Dataflow Gen2 and use the data destinations to load your data in any Fabric Lakehouse or … Continue reading “Updates to default data destination behavior in Dataflow Gen2”