Extreme OLAP with Apache Kylin

Apache Kylin is an extreme distributed OLAP engine for big data, which provides sub-second latency for analytics queries and web-scale high concurrency. In recent months, Apache Kylin has released its v2.4.0, which brings lots of highlighted features, such as JDBC data source, cube planner, enhanced streaming ingestion etc. Also we've seen lots of excellent solution practices from the community like superset integration. In this session, Daniel Gu will outline the design ideas and technical basics of these features and solutions, and present the benefits with real use cases.