Accelerate big data analytics with Apache Kylin
summary
Apache Kylin builds precomputed OLAP cubes on Hadoop with MapReduce/Spark cube build and persists cuboids to HBase persistence, exposing JDBC/ODBC/REST and supporting Kafka incremental loads and high‑cardinality distinct counts. Benchmarks show typical 200x–10,000x speedups versus MPP engines; production installs run trillions of rows, ~1,000+ cubes and handle millions of queries per day with ~1s latency. Real‑time ingestion and a cube‑pruning optimizer are under active development.
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chapters (15)
- 0:00Introduction
- 6:10Reliable Solution
- 8:13About OLAP cube
- 11:36Cube
- 14:18Persistence
- 15:01Query Language
- 18:04Advanced features
- 19:22Summary
- 20:40Use Case 1
- 22:46Use Case 2
- 26:44Useful Links
- 27:05Live Demo
- 31:38Questions
- 35:41Director Query
- 36:54Storage Space
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