Apache Kylin Through the Eyes of the Founders – Episode Three
Learn how Apache Kylin rose to prominence and the major technical milestones that made it one of the most successful Apache projects in history.
Apache Kylin Through the Eyes of the Founders – Episode Two
An inside look at how Apache Kylin came to be, and the unique technical challenges its founding team faced during its initial development.
Apache Kylin Through the Eyes of the Founders – Episode One
Discover the origins of Apache Kylin, what drove its creation, the challenges it overcame, and what makes it unique. All told by the project’s founding team.
Why Kylin Is the Only OLAP Engine for Sub-Second Count Distinct Queries
Learn what sets Apache Kylin’s OLAP approach apart from other analytics solutions that promise to deliver fast and accurate Count Distinct queries.
How Does Apache Kylin Achieve Precision with Count Distinct?
Read how Apache Kylin addresses the shortcomings of HyperLogLog (HLL) and Bitmap to deliver the fastest, most accurate Count Distinct queries.
What’s New with Apache Kylin 3.0?
Get an inside look at the latest release of Apache Kylin 3.0. See what’s new, what’s improved, and how you can start making the most of this major update.
How Apache Kylin Is Rapidly Changing the Way We Approach Big Data
Find out why more and more organizations are making the move to open source and adopting Apache Kylin to accelerate their analytics on big data.
Why Accuracy Is So Important for Distinct Counting
Here’s why accuracy is just as critical as computational speed when it comes to using distinct counting with Big Data.
Making Distinct Counting Work for Big Data
Distinct Counting (Count Distinct) is a critical tool for working with Big Data, but it comes with limitations. Learn how to mitigate those weaknesses.
Get the Most From Your Kylin Deployment with These Resources
Ensure your Apache Kylin deployment is living up to its full potential with this collection of top resources.