IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Case Study of Optimizing Big Data Analytical Stacks Using Structured Data Shuffling

2016 IEEE International Congress on Big Data (BigData Congress)

Author(s): Dixin Tang ; Taoying Liu ; Rubao Lee ; Hong Liu ; Wei Li
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2016
Conference Location: San Francisco, CA, USA
Conference Date: 27 June 2016
Page(s): 91 - 100
ISBN (Electronic): 978-1-5090-2622-7
DOI: 10.1109/BigDataCongress.2016.20
Regular:

Current major big data analytical stacks often consist of a general-purpose, multi-staged cluster computation framework (e.g. Hadoop) and a SQL query execution system (e.g. Hive) on its top. In... View More

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