| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6858684 | Information Systems | 2015 | 21 Pages |
Abstract
In this paper, we study the feasibility of solving OLAP queries with Hadoop (the Apache project implementing MapReduce) while benefiting from secondary indexes and partitioning in HBase. Our main contribution is the comparison of different access plans and the definition of criteria (i.e., cost estimation) to choose among them in terms of consumed resources (namely CPU, bandwidth and I/O).
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Oscar Romero, Victor Herrero, Alberto Abelló, Jaume Ferrarons,