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Data Product

3 posts
Data Streaming in Automotive Industry with Apache Kafka and Flink for Connected Vehicles Cars using Shift Left Architecture Telemetry Signal Processing
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  • 1.8K views
  • 9 minute read

Shift Left in Automotive: Real-Time Intelligence from Vehicle Telemetry with Data Streaming at Rivian

Rivian and Volkswagen, through their joint venture RV Tech, process high-frequency telemetry from connected vehicles using Apache Kafka and Apache Flink. With a shift left architecture and smart filtering, they reduced data volume by 88 percent and enabled over 250 downstream consumer applications to access curated data products. This blog explores how RV Tech transforms raw vehicle data into real-time intelligence, supporting use cases across engineering, operations, and customer experience.
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Connected Car Vehicle API and Data Streaming with Apache Kafka and Flink in the Automotive Industry
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  • 4.7K views
  • 7 minute read

Streaming the Automotive Future: Real-Time Infrastructure for Vehicle Data

Connected vehicles are transforming the automotive industry into a software-driven, data-centric ecosystem. While APIs provide access to critical vehicle data, they fall short when it comes to real-time intelligence and scalability. This post explores how data streaming with Apache Kafka and Apache Flink turns raw API responses into reusable, governed data products that support real-time operations, analytics, and innovation. Learn how industry leaders are combining APIs and event streaming to build modern automotive platforms -where real-time data becomes a strategic asset.
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IT OT Convergence with Unified Namespace UNS and Data Product in Industrial IoT using Data Streaming Apache Kafka MQTT OPC UA
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  • 9.0K views
  • 13 minute read

Unified Namespace vs. Data Product in IT/OT for Industrial IoT

Industrial companies are connecting machines, sensors, and enterprise systems like never before. Real-time data, cloud-native platforms, and AI are driving this transformation—but only if silos between OT and IT can be broken down. This blog introduces two key architecture patterns that support IT/OT convergence. The Unified Namespace structures live OT data, while Data Products govern and deliver that data across IT systems. Technologies like MQTT, OPC UA and Apache Kafka play a central role in building scalable, secure, and real-time data pipelines. Combined, these patterns enable clean integration, better data quality, and faster time to value—laying the foundation for success in manufacturing, energy, logistics, and beyond.
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