What problem does it solve? Building Microsoft Fabric Eventstream pipelines requires assembling complex topology JSON with sources, operators, streams, and destinations, then base64-encoding and submitting it through the Items REST API. This Skill guides the AI through that entire authoring workflow, preventing common silent API rejections and misconfigurations. ## Core Features & Use Cases - Topology Authoring: Build Eventstream definitions with 25 source types (Event Hubs, IoT Hub, CDC, Kafka, SampleData), 8 operators (Filter, Aggregate, GroupBy, Join, ManageFields, Union, Expand, SQL), and 4 destinations (Lakehouse, Eventhouse, Activator, Custom Endpoint). - Full Lifecycle Management: Create, deploy, update, and delete Eventstreams via az rest calls, including base64 encoding of eventstream.json and LRO polling for definition updates. - Use Case: A data engineer needs a real-time ingestion pipeline that reads CDC events from a database, flattens Debezium payloads, filters records, and routes them to a Lakehouse. The Skill walks through building the topology JSON, encoding it, and deploying it in a single API call. ## Quick Start Ask the AI to create a Fabric Eventstream in your workspace with an Event Hubs source, a filter operator, and a Lakehouse destination using the eventstream authoring skill.
