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.
The Future: An AI-Powered Data Platform
Discover why AI is the future when it comes to delivering lightning-fast queries and a seamless self-service experience for analytics work on datasets of any size.
Responding to COVID-19
Find out how Kyligence is lending its aid to help businesses and governments across the globe make data-driven decisions more quickly to combat COVID-19.
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.
Leveraging Disruptive Technology without Disrupting Your Decision Makers
Learn what steps you can take to navigate digital transformation and the age of Big Data to ensure your decision makers and their BI tools can keep up.
Kyligence at MicroStrategy World 2020
Find out what went down at MicroStrategy World 2020 and what the future holds for business intelligence and analytics on Big Data and the Cloud.
The Case for OLAP in the Cloud
Learn why Online Analytical Processing (OLAP) is the optimal choice when it comes to ensuring accelerated analytics and high concurrency in the Cloud.