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.
Kyligence Insight for Superset User Manual
About Kyligence Insight for Superset To better serve Kyligence or Kylin users, Kyligence Insight for Superset is the customized Superset that enriches Kylin ecosystem, ...
Kyligence Insight for Superset: Data Visualizations Enriching the Apache Kylin Ecosystem
Kyligence Insight for Superset provides a free business intelligence solution that deeply integrates with Kyligence technology.
Integrating Kyligence Enterprise Big Data Platform with Microsoft Azure HDInsight
A helpful guide for getting the most out of Kyligence Analytics Platform (KAP) for Big Data on Microsoft Azure HDInsight.
Kyligence Cloud Big Data Platform on AWS: Preparing and Creating Clusters
Learn how to use Kyligence Cloud for fast and easy deployment on AWS. Read about Kyligence Cloud’s auto scaling and more.
Kyligence in the Cloud: Announcing General Availability of Cloud-Based OLAP Technology for Enterprises
Kyligence announces general availability for Kyligence Cloud, a Platform-as-a-Service (PaaS) for big data analytics at web scale.