Apache Kylin is always looking for contributions of not only code, but also usage document, performance report, Q&A etc. All kinds of contributions pave the way towards a Kylin Committer. There is opportunity for everyone, especially for those come from analysis and solution background, due to the lacking of content from user and solution perspective.
How to Contribute
Check out the How to Contribute document.
CI and Code Analysis
Track issues on the “Kylin” Project on the Apache JIRA (browse).
- Hadoop 3.0 support (Erasure Coding)
- Spark cubing enhancement
- Connect more sources (JDBC, SparkSQL)
- Ad-hoc queries without cubing
- Better storage (Kudu?)
- Real-time analytics with Lambda Architecture