Microsoft Fabric Updates Blog

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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 …

Announcing the Public Preview of automatic replica synchronization for Dataset Scale-Out

We are excited to announce that we have finalized Dataset Scale-Out configuration APIs and completed the replica synchronization feature. Specifically, you no longer need to enable Scale-Out at the workspace level by using a burdensome XMLA request. The XMLA command is deprecated and will no longer work. You can now enable Scale-Out on a dataset-by-dataset basis using the Power BI REST API for datasets. You also no longer need to synchronize read-only replicas manually if you want to take advantage of automatic replica synchronization. Automatic replica synchronization is enabled by default. However, it is also possible to disable automatic synchronization to synchronize the read/write and read-only replicas of a dataset manually for controlled refresh isolation.

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 …