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.
Meetup Recap: Kyligence at Big Data Bellevue
Find out what was shared at Big Data Bellevue’s recent meetup, including an update about real-time multidimensional data processing with Apache Kylin.
Use Python for Data Science with Apache Kylin
Read how Apache Kylin helps overcome Big Data challenges in data science and machine learning, and how it generates faster insights.
Accelerating Big Data Analytics with Apache Kylin
Find out what’s new with Apache Kylin from this presentation by Kylin PMC Shaofeng Shi shared at this year’s Berlin Buzzwords conference.