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Learn what sets Apache Kylin's OLAP approach apart from other analytics solutions that promise to deliver fast and accurate Count Distinct queries.
Read how Apache Kylin addresses the shortcomings of HyperLogLog (HLL) and Bitmap to deliver the fastest, most accurate Count Distinct queries.
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.
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.
Here's why accuracy is just as critical as computational speed when it comes to using distinct counting with 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.
Discover why Augmented OLAP, a combination of Augmented Analytics and OLAP is the start of a new era for Big Data analytics.
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.
Kyligence can now run on Google Cloud. Integrated with Google Cloud Storage and DataProc, scale your OLAP to petabytes of data.
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