We’re excited to announce the REST APIs for Fabric Eventstream! These new APIs are designed to automate your development workflows for Eventstream, making it easier and faster for your team to build robust streaming solutions. With the Eventstream REST API, you can now programmatically create, manage, and update Eventstream items, reducing manual work and the … Continue reading “Announcing REST APIs for Fabric Eventstream”
Introducing Managed VNet Support for Fabric Eventstream! By creating a Fabric’s Managed Private Endpoint, you can now securely connect Eventstream to your Azure services, such as Azure Event Hubs or IoT Hub, within a private network or behind a firewall. This integration ensures your data is securely transmitted over a private network, enabling you to … Continue reading “Secure Data Streaming with Managed Private Endpoints in Eventstream (Preview)”
Change Data Capture (CDC) is a popular database feature for monitoring and recording all row-level changes to a table. It plays a significant role in handling transactional events, such as sales orders from an online store, and providing real-time status updates to customers. With Eventstream’s CDC connector, you can now achieve this seamlessly, capturing changes … Continue reading “Build real-time order notifications with Eventstream’s CDC connector “
We are pleased to announce a slew of new enhancements in Fabric Eventstream to improve your development experience of building a data streaming application. Our latest update introduces three new features: Edit and Live modes, Default and Derived Streams, and Smart Routing. These additions are set to revolutionize the way developers manage, process, and analyze … Continue reading “Introducing Enhanced Capabilities in Eventstream: Derived Streams, Edit modes, and Smart Routing”
At Microsoft Ignite this year, we were thrilled to announce the General Availability of Eventstream. One of the exciting features is Eventstream’s real-time processing tailored for seamless integration with the KQL Database. This feature ensures a smooth experience for ingesting and transforming data streams into your KQL table. In this blog post, we’ll dive into … Continue reading “Explore Data Transformation in Eventstream for KQL Database Integration”
