commit | 71d2825cd66591cd7f15f15fa74b0f000a5c2590 | [log] [tgz] |
---|---|---|
author | Jinho Kim <jhkim@apache.org> | Tue Apr 19 14:01:45 2016 +0900 |
committer | Jinho Kim <jhkim@apache.org> | Tue Apr 19 14:01:45 2016 +0900 |
tree | b575a2112a0572ae45b07fe2fd39fbe9b0907260 | |
parent | fe3663411d3e77b58c1b4f2f5dc0cf12e2987456 [diff] |
TAJO-2112: Improve disk load, when queries run simultaneously. Closes #995
Tajo is a relational and distributed data warehouse system for Hadoop. Tajo is designed for low-latency and scalable ad-hoc queries, online aggregation and ETL on large-data sets by leveraging advanced database techniques. It supports SQL standards. It has its own query engine which allows direct control of distributed execution and data flow. As a result, Tajo has a variety of query evaluation strategies and more optimization opportunities. In addition, Tajo will have a native columnar execution and and its optimizer.
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