| Autor: |
Prasad Chakka, Raghotham Murthy, Ashish Thusoo, Suresh Anthony, Namit Jain, Zheng Shao, Joydeep Sen Sarma, Hao Liu, Pete Wyckoff |
| Rok vydání: |
2009 |
| Předmět: |
|
| Zdroj: |
Proceedings of the VLDB Endowment. 2:1626-1629 |
| ISSN: |
2150-8097 |
| DOI: |
10.14778/1687553.1687609 |
| Popis: |
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [3] is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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