Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bhaskar Gowda"'
Autor:
Chinmayi Narasimhadevara, Tilmann Rabl, Meikel Poess, Seetha Lakshmi, John Poelman, Patrick Nguyen, Paul Cao, Bhaskar Gowda
Publikováno v:
Performance Evaluation and Benchmarking. Traditional-Big Data-Interest of Things
Performance Evaluation and Benchmarking. Traditional-Big Data-Interest of Things ISBN: 9783319543338
TPCTC
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Performance Evaluation and Benchmarking. Traditional-Big Data-Interest of Things
Performance Evaluation and Benchmarking. Traditional-Big Data-Interest of Things ISBN: 9783319543338
TPCTC
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Performance Evaluation and Benchmarking. Traditional-Big Data-Interest of Things
With the increased adoption of Hadoop-based big data systems for the analysis of large volume and variety of data, an effective and common benchmark for big data deployments is needed. There have been a number of proposals from industry and academia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61e82a4e408767774c343b6c89a570a8
Publikováno v:
2015 IEEE Trustcom/BigDataSE/ISPA.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8991141f275cfe5d1ce3f8c242bf84c
https://doi.org/10.1109/trustcom.2015.567
https://doi.org/10.1109/trustcom.2015.567
Publikováno v:
DanaC@SIGMOD
Data is one of the most important resources for modern enterprises. Better analytics allow for a better understanding of customer requirements and market dynamics. The more data is collected, the more information can be extracted. However, informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc256f124cac1598f0077702e1b3ecc
https://doi.org/10.1145/2799562.2799642
https://doi.org/10.1145/2799562.2799642
Autor:
Lan Yi, Choonhan Youn, Bhaskar Gowda, Milind A. Bhandarkar, Manuel Danisch, Dileep Kumar, Huang Jie, Chaitan Baru, Raghunath Nambiar, Nishkam Ravi, Meikel Poess, Kai Sachs, Saptak Sen, Carlo Curino, Tilmann Rabl, Michael Frank, Francois Raab, Hans-Arno Jacobsen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319153490
TPCTC
TPCTC
Enterprises perceive a huge opportunity in mining information that can be found in big data. New storage systems and processing paradigms are allowing for ever larger data sets to be collected and analyzed. The high demand for data analytics and rapi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c455ad41321e207499cf245d875535a
https://doi.org/10.1007/978-3-319-15350-6_4
https://doi.org/10.1007/978-3-319-15350-6_4
Publikováno v:
Big Data Benchmarking ISBN: 9783319202327
WBDB
WBDB
BigBench was the first proposal for an end-to-end big data analytics benchmark. It features a set of 30 realistic queries based on real big data use cases. It was fully specified and completely implemented on the Hadoop stack. In this paper, we prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f95be35dd6568cf3262f8320dd90e2
https://doi.org/10.1007/978-3-319-20233-4_1
https://doi.org/10.1007/978-3-319-20233-4_1
Publikováno v:
Big Data Benchmarking (9783319497471); 2016, p117-127, 11p
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