| 000 | a | ||
|---|---|---|---|
| 999 |
_c16473 _d16473 |
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| 003 | OSt | ||
| 005 | 20220307102131.0 | ||
| 008 | 220303b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
||
| 100 |
_916238 _aSubramanian, Kartik |
||
| 245 | _aSimplified data analysis of big data in map reduce | ||
| 250 | _aVol.12(1), Jan-Jun | ||
| 260 |
_aHaryana _bInternational Science Press _c2021 |
||
| 300 | _a1-7p. | ||
| 520 | _aMap reduce is acclaimed worldwide for the enormous data insight handling in distributed computing. The workload consists of sequence of jobs, each following set of map tasks followed continuously with reduced jobs.The execution of the jobs is such that map tasks are executed before reduced tasks since map slots are occupied by map slots and reduce tasks are executed in reduce slot only.Single node is setup to execute the map reduce world count. | ||
| 650 | 0 |
_94626 _aMechanical Engineering |
|
| 700 |
_916239 _aPrabhu, Akshatha |
||
| 773 | 0 |
_tInternational journal of production and quality engineering _dGurgaon International Science Press |
|
| 856 |
_uhttps://www.serialsjournals.com/index.php?route=product/product&path=69&product_id=582 _yClick here |
||
| 942 |
_2ddc _cAR |
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