In the era of connected vehicles, the ability to handle vast amounts of near real-time data is critical for delivering seamless user experiences and innovative automotive services. This session will delve into the high-octane world of data streaming at Toyota Connected Europe, where cutting-edge technologies like Kafka, Flink, and MQTT are at the heart of our data architecture.
We’ll explore how Toyota manages the relentless flow of data generated by connected cars, from vehicle sensors using the CAN BUS protocol to near real-time interactions with the user app. Discover how we leverage Kafka for scalable and fault-tolerant data processing, ensuring that every piece of data is ingested, processed, and delivered with precision. We’ll also discuss the role of microservices in creating a flexible, resilient data architecture that can adapt to the rapidly changing demands of connected vehicle technology.
In addition, we’ll dive into the implementation of the pipe and filter pattern within our streaming pipelines, which allows us to efficiently process and transform data as it flows through our system. This approach not only enhances modularity and scalability but also contributes to our broader global data mesh, enabling seamless data sharing and collaboration across Toyota’s global operations. Join us to learn how Toyota Connected Europe is driving the future of connected car technology with a robust, near real-time data streaming ecosystem that powers everything from vehicle diagnostics to user experiences.
Technical Level: Technical practitioner
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