Apache Kylin is an open-source OLAP engine designed for sub-second query performance on massive datasets. Initially developed by eBay and later managed by the Apache Software Foundation, it excels in handling high concurrency and integrates seamlessly with Hadoop and data lake platforms. Key features include multidimensional modeling, optimized indexing, and support for both batch and streaming data sources. The platform can be easily explored using Docker, allowing for straightforward setup, model creation, and CUBE building via SQL and REST API.
Table of contents
1. Introduction2. Understanding Apache Kylin’s Core Capabilities3. How to Run Apache Kylin in Docker4. How to Define a Model and Build a CUBE in Apache Kylin Using SQL5. ConclusionSort: