What’s New with Kyligence Cloud 3.2?
Discover what’s new with the release of Kyligence Cloud 3.2 and how you can best take advantage of these new features and capabilities.
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.
Augmented Analytics: The Future of OLAP
Discover why Augmented OLAP, a combination of Augmented Analytics and OLAP is the start of a new era for Big Data analytics.
Enhance Your MapR Data Platform Experience with Kyligence
Learn how the features and capabilities of MapR make it an ideal platform for Kyligence to run on, and discover how you can start accelerating your Big Data analytics with this solution today.
Scale Your Big Data OLAP on Hadoop to Petabytes on Google Cloud Platform
Kyligence can now run on Google Cloud. Integrated with Google Cloud Storage and DataProc, scale your OLAP to petabytes of data.