Title :
TPC-H benchmarking of Pig Latin on a Hadoop cluster
Author_Institution :
Lab. ITC&E Eng., Univ. of Tunis, Tunis, Tunisia
Abstract :
Several companies report success stories after migration from relational database management systems to NoSQL systems (Not only SQL). The latter seem to take over in most data storage fields. These technologies must be used properly, and businesses must be aware of the limitations of NoSQL, for providing real benefits. Pig Latin is a high-level language for expressing data analysis programs, and implementing the MapReduce framework on top of Hadoop Distributed File System. This paper benchmarks Pig Latin using the well known TPC-H benchmark -a Decision Support System benchmark, and reports performance results for different settings on GRID5000 clusters.
Keywords :
SQL; data analysis; decision support systems; distributed processing; high level languages; pattern clustering; relational databases; GRID5000 clusters; Hadoop cluster; Hadoop distributed file system; MapReduce framework; NoSQL systems; Pig Latin; TPC-H benchmarking; data analysis programs; data storage fields; decision support system benchmark; high-level language; relational database management systems; Benchmark testing; Business; Engines; High level languages; Parallel processing; Relational databases; Time factors; Hadoop; MapReduce; Pig Latin; TPC-H; analytics; benchmark; cloud;
Conference_Titel :
Communications and Information Technology (ICCIT), 2012 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-1949-2
DOI :
10.1109/ICCITechnol.2012.6285848
