Simplified data analysis of big data in map reduce
By: Subramanian, Kartik
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Contributor(s): Prabhu, Akshatha.
Publisher: Haryana International Science Press 2021Edition: Vol.12(1), Jan-Jun.Description: 1-7p.Subject(s): Mechanical EngineeringOnline resources: Click here
In:
International journal of production and quality engineeringSummary: Map 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-0618 |
Total holds: 0
Map 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.
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