Microsoft Fabric Updates Blog

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Microsoft Fabric logo

Announcing a new modern data connectivity and discovery experience in Dataflows

We are excited to introduce the new data connectivity and discovery experience in Dataflow, Dataflow Gen2, and Datamart. Today, users spend a lot of time finding the right data, the right connection info and credentials. With the new Get Data experience, we make it easy to browse different Fabric artifacts through the OneLake data hub. …

Lakehouse Sharing and Access Permission Management

Microsoft Fabric now has even more capabilities for organizations to embrace data democratization. An Admin or Member within a workspace can share a lakehouse with another recipient. To drive collaboration, an Admin or Member could add a user or group from the tenant’s AAD to a workspace with a selected role before sharing feature was …

Data Pipelines Tutorial: Ingest files into a Lakehouse from a REST API with pagination ft. AVEVA Data Hub

Contents Scenario overview In this blog, we will act in the persona of an AVEVA customer who needs to retrieve operations data from AVEVA Data Hub into a Microsoft Fabric Lakehouse. Note: While this scenario is using AVEVA Data Hub, the concepts translate to interacting with any REST API that uses pagination. Considerations Design Pattern …

Construct a data analytics workflow with a Fabric Data Factory data pipeline

Microsoft Fabric Data Factory provides an easy way to build low-code data integration and ETL projects for building cloud-scale data analytics. Today, I want to focus on data pipelines in Data Factory and the advantages you’ll find by using pipelines to orchestrate your Fabric data analytics projects and activities. What is a data pipeline? For …

Data Warehouse sharing

We are excited to announce that Data Warehouse sharing is now available in Public Preview! Data sharing is essential to fostering a data-driven culture within an organization. Sharing a Warehouse allows you to provide read access to enable downstream users within the organization to consume this data to make data-driven decisions, without having to make …