Most companies are guilty of underutilizing the troves of data sitting at their fingertips. How much faster could we react to a global situation like the coronavirus if we had access to all of that data and were able to interact with it quickly?
This session will teach you how to get lightning-fast query performance on Microsoft Excel that reliably scales into the petabytes – and supports any number of users.
This guide aims to provide novice Kylin users with a complete process guide from download and installation to a sub-second query experience. The guide is divided into two parts, which respectively introduce the installation and use of Kylin in two scenarios – with an installation based on a Hadoop environment and installation from Docker image without a Hadoop environment.
Users can follow these steps to get an initial understanding of how to use Kylin, master the basic skills of Kylin and then use Kylin to design models and speed up queries based on their own business scenarios.
Thank you! It IS an amazing project being worked on by incredible human beings. Kai (the committer I interviewed for this article) is also teaching an Apache Kylin tutorial tomorrow morning - this will be a great introduction to Kylin for anyone interested in learning more: https://bit.ly/ApacheKylin101
Learn how the world’s leading open source 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.