Abstract
One approach to big data benchmarking is to study the implications of the underlying computing platform, both hardware and software. The software stack for big data analytics comprises a suite of technology solutions including MPP SQL Engines. This paper provides an overview of the architectural choices in the underlying hardware infrastructure, the architectural choices in the design of parallel SQL Engines, and the implications of both on benchmarking. A benchmark suite developed at XtremeData for internal engineering use is also described.
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CITATION STYLE
Chandran, R., Sridhar, K. T., & Sakkeer, M. A. (2014). MPP SQL engines: Architectural choices and their implications on benchmarking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8585, pp. 179–192). Springer Verlag. https://doi.org/10.1007/978-3-319-10596-3_14
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