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Revving Up IoT Use Cases with Real-Time Hybrid Cloud Data Architecture

Challenge

BMW Group needed to make all data generated by its 30+ production facilities and worldwide sales network available in real time to anyone across the global business.

Solution

Using Confluent, BMW Group makes Apache Kafka deployments enterprise- ready, creating a central hub for real-time data streaming and data flows across the global organization.

Results

  • Removal of manual provisioning and data infrastructure management through elastic scaling with Confluent’s fully managed service
  • Ubiquitous access to real-time data
  • A reliable, zero downtime data streaming platform that connects edge IoT data from the production plants to cloud applications and services
  • Full integration with SAP solutions, industrial IoT protocols like OPC UA, and cloud applications and services
bmwplant

BMW Group needed scalable, highly reliable, real-time data streaming and turned to open source Apache Kafka®, yet it lacked the scalability, reliability, and simplicity to deliver ubiquitous, real-time data for its vast, global operation. While Kafka allowed BMW Group to solve specific data use cases, its self-managing nature meant costly and specialized maintenance.

Confluent is working with BMW Group to deliver a data streaming platform that would accelerate the internal use of Kafka and support continuous innovation and new use cases by delivering easy access to data as real-time streams.

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