See how to consistently deliver accurate COUNT DISTINCT queries in under a second, even on petabyte-scale datasets @ApacheKylin#bigdata https://t.co/3i5rfSoR5A
New Blog: If an enterprise doesn't have unified data and business definitions, it is difficult to effectively take advantage of the full value of their data assets. https://t.co/eLNYnGhvyi
In this talk, Kaige Liu of the @ApacheKylin project will explain how Didi uses Kylin to return exact Distinct Count on billions of rows of #data with sub-second latency to generate the most accurate picture of its business. https://t.co/LPJnXRU0VR
New Blog: The semantic layer provides business users with an easy way to understand their #data. Check out this article for a breakdown of what a semantic layer is and what to look for in your evaluation: https://t.co/eLNYnGhvyi
Kyligence analyzes users historical data, identifies the questions that are relevant to risk #analysts, prepares the most up-to-date answers, and places these answers at the fingertips of analysts around the world. Learn more at this virtual conference: https://t.co/MifWIq4RzN
See how the world’s leading #opensource solution for query acceleration on massive datasets is revolutionizing #analytics for enterprises across every industry, and how you can get started using it in your organization. @ApacheKylin https://t.co/HjJJwGkq4L
Join us tomorrow morning for a demonstration of how @ApacheKylin has simplified #machinelearning on big data and empowered each end-user to perform advanced self-service analytics. https://t.co/GkMdzZXaom
Starting now! @ApacheKylin's integration with auto machine learning technology means that users don't need to be experts in #bigdata and machine learning technology. Sign on now to learn more: https://t.co/GkMdzZXaom
Sign up for this talk to hear in-depth case studies for @ApacheKylin. Learn how companies use Kylin to power their analytics platforms that allow 100s of #analysts to achieve sub-second latency on petabyte-scale data. https://t.co/LPJnXRU0VR
Kyligence analyzes users historical data, identifies the questions that are relevant to risk analysts, prepares the most up-to-date answers, and places these answers at the fingertips of all their #analysts around the world. https://t.co/MifWIqmsrl
The difference between exact Count Distinct and approximate Count Distinct can cost Didi millions of dollars. Learn how @ApacheKylin helped their business: https://t.co/LPJnXRU0VR
Discover how @ApacheKylin's new Parquet-powered storage engine is delivering better performance than ever before to the world's leading open source query engine for #bigdata. https://t.co/twBVtUdFuZ
Find out why this #opensource big data analytics solution has been adopted by over 1,000 organizations around the world! @ApacheKylin https://t.co/JPQ2yOWjHm