Microsoft Fabric Updates Blog

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Efficient JSON loading to Eventhouse in Fabric Real-Time Intelligence

In the era of big data, efficiently parsing and analyzing JSON data is critical for gaining actionable insights. Leveraging Kusto, a powerful query engine developed by Microsoft, enhances the efficiency of handling JSON data, making it simpler and faster to derive meaningful patterns and trends. Perhaps more importantly, Kusto’s ability to easily parse simple or …

Simplifying Data Ingestion with Copy job – Introducing Change Data Capture (CDC) Support (Preview)

Copy job is designed to simplify your data ingestion experience without compromise from any source to any destination. It supports multiple data delivery styles, including both batch and incremental copy, providing the flexibility to meet diverse needs. We are excited to introduce the preview of native Change Data Capture (CDC) support in Copy job that …

New Copilot experience in Dataflow Gen2: Natural language to custom column

Dataflows have great capabilities to help you add new columns. It has an extensive section in the ribbon that helps you create new columns based on the data of your table. For scenarios in which you wish to have full control over how the new column should be created, you can opt for the Custom …

Continuous Ingestion from Azure Storage to Eventhouse (Preview)

The integration of Azure Storage with Fabric Eventhouse for continuous ingestion represents a significant simplification of data ingestion process from Azure Storage to Eventhouse in Fabric Real-Time Intelligence. It automates extraction and loading from Azure storage and facilitates near real-time updates to Eventhouse KQL DB tables. With this feature, it is now easier for organizations …