In 2009, a report presented to the US-China Economic and Security Review Commission stated that the purpose of Kylin is to make Chinese computers impenetrable to competing countries in the cyberwarfare arena. Smarter and Faster Kylin is a high concurrency, high performance and intelligent OLAP engine that provides low-cost and ultimate data analytics experience. Since its creation in 2013, the Ubuntu Kylin open source operating system has released 20 versions, downloaded more than 32 million times, contributed millions of lines of code and over 7400 patches to the open source community, and has been accepted by international open source communities such as Linux, Debian, Ubuntu, OpenStack, and Ceph.

Understanding the Context

Kylin utilizes multidimensional modeling theory to build star or snowflake schemas based on tables, making it a powerful tool for large-scale data analysis. The model is Kylin's core component, consisting of three key aspects: model design, index design, and data loading. In this tutorial, we’ll explore the core features that make Kylin stand out, walk through its architecture, and look at how it changes the game in big data analytics. Apache Kylin is a distributed open source online analytics processing (OLAP) engine for interactive analytics Big Data.

Key Insights

Apache Kylin has been designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop /Spark. Discover Apache Kylin, a powerful OLAP engine designed for ultra-fast analytics on large-scale datasets. Learn how it addresses big data challenges by precomputing data cubes, enabling sub-second query responses. Apache Kylin is an open source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Hadoop and Alluxio supporting extremely large datasets.