Ssis-732-en-javhd-today-0804202302-26-30 Min May 2026

Demo – The “Hello World” Package Dr. Liu switched to a live demo environment. He opened SQL Server Data Tools (SSDT) and created a new SSIS project named “SSIS‑732‑Demo” . Within the Data Flow , he dragged the Kafka Source component, configured it to read from fleet_telemetry topic, and set the Message Format to JSON .

Lila, a petite woman with a confident posture, typed: “Apologies for the late entry. I’m fascinated by this hybrid approach. At Orion we’ve been exploring edge‑to‑cloud pipelines that run Java analytics on the device and push results directly to Azure. Could SSIS‑732 handle a scenario where the Java component runs on an Azure IoT Edge module instead of a Docker container on the server?” A hush fell over the virtual room. Dr. Liu smiled, clearly pleased. Dr. Liu: “Great question, Lila. The beauty of the JAVAVD Bridge is that it abstracts the execution environment. Whether the Java code runs in a Docker container on‑premises, on an Azure IoT Edge device, or even in a Kubernetes pod , the SSIS package merely sends an HTTP request. The only thing that changes is the endpoint URL and authentication.” He shared a quick diagram: an IoT Edge device running a Java microservice , exposing an HTTPS endpoint secured with Azure AD . The Web Service Task in SSIS could use OAuth2 to obtain a token and call the edge service. This architecture would dramatically reduce latency, because raw sensor data would be processed at the edge before being aggregated in the cloud. SSIS-732-EN-JAVHD-TODAY-0804202302-26-30 Min

Maya scribbled notes. She imagined the flow as a river, where the Java component was a hidden tributary feeding into a larger stream of data. The key challenge, Dr. Liu warned, was : the JVM needed its own heap, and SSIS packages often ran on limited server resources. The solution: containerize the Java component using Docker, then invoke it via a local REST endpoint from the data flow. Demo – The “Hello World” Package Dr

Error: OutOfMemoryError: Java heap space The audience gasped. The stalled, and the execution stopped at 14.8 seconds . Dr. Liu’s smile faded into a grimace. Within the Data Flow , he dragged the