Project Cars 2 Analyzed by Confluent KSQL
Автор: Confluent
Загружено: 2017-11-08
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KSQL: https://cnfl.io/ksql Blog: https://cnfl.io/ksql-racing-blog | Tom Underhill, R&D at Rittman Mead, experiments with KSQL and a high velocity, real-time data stream from a Thrustmaster T300RS Steering Wheel/Pedal gaming device. A DirectX device driver intercepts the commands from the steering wheel and pedal inputs and produces them into an Apache Kafka topic. A series of Confluent KSQL queries analyze the performance of the driver, with results visualized in Grafana.
Tom is Head of R&D at Rittman Mead, a data and analytics company who specialise in data visualisation, predictive analytics, enterprise reporting and data engineering. He is interested in open source, data engineering, distributed systems and anything that happens in real-time—including driving games.
Related Blog Post: https://confluent.io/blog/taking-ksql...
KSQL: https://confluent.io/product/ksql
Learn about ksqlDB, the successor to KSQL: https://ksqldb.io
ABOUT CONFLUENT
Confluent, founded by the creators of Apache™ Kafka™, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit http://confluent.io
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