Architecture Overview A diagram appeared, showing a Data Flow : Source → JavaScript Component → Script Component → Destination . The Source was a Kafka Topic that streamed JSON blobs from an autonomous delivery fleet. The JavaScript Component would invoke the VehicleTelemetryParser.jar , converting raw telemetry into a normalized schema. The Script Component (C#) would enrich the data with a lookup to a SQL Server table of driver profiles. The Destination was an Azure Event Hub for downstream analytics.
Dr. Liu cleared his throat. “Good morning, everyone! In the next half hour, we’ll walk through how to inside SSIS to process streaming data from IoT devices, all while maintaining the performance guarantees of native .NET components. By the end of this session, you’ll have a working package that ingests, transforms, and publishes data to Azure Event Hubs—all in just a few lines of code. Ready? Let’s begin.” SSIS-732-EN-JAVHD-TODAY-0804202302-26-30 Min
Maya’s mind raced. If they could push the Java parser to the edge, the would drop dramatically. Instead of streaming massive LIDAR point clouds to the data center, the edge device would only send summary statistics —speed averages, anomaly flags, etc. Architecture Overview A diagram appeared, showing a Data
docker run -d -p 8080:8080 \ -v /opt/parsers:/app/parsers \ mycompany/javavd-bridge:1.2 The container exposed an endpoint http://localhost:8080/parseTelemetry . The sent the raw JSON payload to this endpoint, and the response was a CSV with fields: vehicleId, timestamp, speed, fuelLevel, engineTemp . The Script Component (C#) would enrich the data
Maya felt a familiar mix of excitement and dread. She loved SSIS, but she had never written Java code inside an SSIS package. The thought of mixing Java Virtual Machine (JVM) magic with the .NET runtime seemed like a recipe for chaos—or perhaps a recipe for brilliance. Slide 1: Why Java in SSIS? Dr. Liu explained that many enterprises owned legacy Java libraries for parsing proprietary binary formats from sensors. Re‑writing those libraries in C# would be costly and error‑prone. With JAVAVD (Java Virtual Development) integration, SSIS could call those libraries directly, using the JVM Bridge component that GlobalTech had recently open‑sourced.
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.