Optimizing Speed and Scale of User-Facing Analytics Using Apache Kafka and Pinot

Explore the optimization of speed and scale for user-facing analytics using Apache Kafka and Apache Pinot in this informative conference talk. Discover how Apache Kafka, the industry standard for real-time event streaming, can be combined with Apache Pinot, a real-time distributed OLAP datastore, to deliver scalable, low-latency analytics. Learn about Pinot's capabilities in ingesting data from both batch and streaming sources, including its extensive use at companies like LinkedIn and Uber for powering analytical applications. Gain insights into Kafka's highly performant, distributed, and fault-tolerant messaging platform that drives big data solutions for numerous prominent businesses. Hear from industry experts as they introduce both systems and demonstrate how they work together to enhance user-facing, ad-hoc, real-time analytics.

[VDZ22] Optimizing Speed and Scale of User-Facing Analytics w Kafka and Pinot by K Wolok, T Berglund