BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics

Tilmann Rabl; Ahmad Ghazal; Minqing Hu; Alain Crolotte; Francois Raab; Meikel Poess; Hans Arno Jacobsen

doi:10.1007/978-3-642-53974-9_14

BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics

Tilmann Rabl
, Ahmad Ghazal
, Minqing Hu
, Alain Crolotte
, Francois Raab
, Meikel Poess
, Hans Arno Jacobsen

University of Toronto
Teradata Corp.
InfoSizing, Inc.
Oracle America, Inc.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

In this article, we present the specification of BigBench, an end-to-end big data benchmark proposal. BigBench models a retail product supplier. The benchmark proposal covers a data model and a set of big data specific queries. BigBench's synthetic data generator addresses the variety, velocity and volume aspects of big data workloads. The structured part of the BigBench data model is adopted from the TPC-DS benchmark. In addition, the structured schema is enriched with semi-structured and unstructured data components that are common in a retail product supplier environment. This specification contains the full query set as well as the data model.

Original language	English
Title of host publication	Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers
Publisher	Springer Verlag
Pages	164-201
Number of pages	38
ISBN (Print)	9783642539732
DOIs	https://doi.org/10.1007/978-3-642-53974-9_14
State	Published - 2014
Externally published	Yes
Event	2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012 - Pune, India Duration: 17 Dec 2012 → 18 Dec 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8163 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012
Country/Territory	India
City	Pune
Period	17/12/12 → 18/12/12

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10.1007/978-3-642-53974-9_14

Cite this

Rabl, T., Ghazal, A., Hu, M., Crolotte, A., Raab, F., Poess, M., & Jacobsen, H. A. (2014). BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics. In Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers (pp. 164-201). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8163 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-53974-9_14

Rabl, Tilmann ; Ghazal, Ahmad ; Hu, Minqing et al. / BigBench specification V0.1 BigBench : An industry standard benchmark for big data analytics. Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers. Springer Verlag, 2014. pp. 164-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics",

abstract = "In this article, we present the specification of BigBench, an end-to-end big data benchmark proposal. BigBench models a retail product supplier. The benchmark proposal covers a data model and a set of big data specific queries. BigBench's synthetic data generator addresses the variety, velocity and volume aspects of big data workloads. The structured part of the BigBench data model is adopted from the TPC-DS benchmark. In addition, the structured schema is enriched with semi-structured and unstructured data components that are common in a retail product supplier environment. This specification contains the full query set as well as the data model.",

author = "Tilmann Rabl and Ahmad Ghazal and Minqing Hu and Alain Crolotte and Francois Raab and Meikel Poess and Jacobsen, \{Hans Arno\}",

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doi = "10.1007/978-3-642-53974-9\_14",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "164--201",

booktitle = "Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers",

note = "2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012 ; Conference date: 17-12-2012 Through 18-12-2012",

}

Rabl, T, Ghazal, A, Hu, M, Crolotte, A, Raab, F, Poess, M & Jacobsen, HA 2014, BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics. in Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8163 LNCS, Springer Verlag, pp. 164-201, 2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012, Pune, India, 17/12/12. https://doi.org/10.1007/978-3-642-53974-9_14

BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics. / Rabl, Tilmann; Ghazal, Ahmad; Hu, Minqing et al.
Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers. Springer Verlag, 2014. p. 164-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8163 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Raab, Francois

AU - Poess, Meikel

AU - Jacobsen, Hans Arno

PY - 2014

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AB - In this article, we present the specification of BigBench, an end-to-end big data benchmark proposal. BigBench models a retail product supplier. The benchmark proposal covers a data model and a set of big data specific queries. BigBench's synthetic data generator addresses the variety, velocity and volume aspects of big data workloads. The structured part of the BigBench data model is adopted from the TPC-DS benchmark. In addition, the structured schema is enriched with semi-structured and unstructured data components that are common in a retail product supplier environment. This specification contains the full query set as well as the data model.

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Rabl T, Ghazal A, Hu M, Crolotte A, Raab F, Poess M et al. BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics. In Specifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers. Springer Verlag. 2014. p. 164-201. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-53974-9_14

BigBench specification V0.1 BigBench: An industry standard benchmark for big data analytics

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