Upcoming Kyligence Events

If query performance and fast insights matter to you, and you're interested in an open source approach to big data, this is your chance to see how Kylin's new Parquet-powered storage engine accelerates big data analytics. This is a great opportunity to learn how Kylin's new Parquet-powered storage engine is revolutionizing query performance and insight generation on big data. Discover how Kylin's new Parquet-powered storage engine is delivering better performance than ever before to the world's leading open source query engine for big data. See what's improved and get benchmark comparisons to understand how Kylin's latest update can help your organization deliver faster insights on any size dataset.

See for yourself how Extreme OLAP will become an integral part of your new generation analytics software stack.

What You Will Learn: 1) Key details and tips regarding Kylin's new storage engine 2) An overview of what's new with Apache Kylin and what's coming next 3)Answers to your Kylin-related questions from an expert in the community

Apache Kylin enables self-service data analysis for machine learning applications. The integration with auto machine learning technology means that users don't need to be experts in big data and machine learning technology. Dong will introduce the architecture and demonstrate how Apache Kylin has simplified machine learning on big data and empowered each end-user to perform advanced self-service analytics.

Join us as Kaige Liu of the Apache Kylin project shares how Didi uses Apache Kylin to return exact Distinct Count queries on billions of rows of data with sub-second latency to generate the most accurate picture of its business.

Get the facts about Apache Kylin, and find out why it's the world’s leading open source solution for query acceleration on massive datasets. You'll also learn how you can get started using it in your organization.

Kyligence architect Kaige Liu will discuss how Apache Kylin designed and implemented its new storage engine. He'll also take an in-depth look into the pros and cons of this major update.

Learn how to consistently deliver accurate COUNT DISTINCT queries in under a second, even when working with petabyte-scale datasets. Kaige Liu will share his insight at this month's Big Data Bellevue Meetup.