Incremental MapReduce computations

Pramod Bhatotia; Alexander Wieder; Umut A. Acar; Rodrigo Rodrigues

doi:10.1201/b17112

Incremental MapReduce computations

Pramod Bhatotia, Alexander Wieder, Umut A. Acar, Rodrigo Rodrigues

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

2 Scopus citations

Abstract

Distributed processing of large data sets has become an important task in the life of various companies and organizations, for whom data analysis is an important vehicle to improve the way they operate. This area has attracted a lot of attention from both researchers and practitioners over the last few years, particularly after the introduction of the MapReduce paradigm for large-scale parallel data processing [19].

Original language	English
Title of host publication	Large Scale and Big Data
Subtitle of host publication	Processing and Management
Publisher	CRC Press
Pages	127-150
Number of pages	24
ISBN (Electronic)	9781466581517
ISBN (Print)	9781466581500
DOIs	https://doi.org/10.1201/b17112
State	Published - 1 Jan 2014
Externally published	Yes

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title = "Incremental MapReduce computations",

abstract = "Distributed processing of large data sets has become an important task in the life of various companies and organizations, for whom data analysis is an important vehicle to improve the way they operate. This area has attracted a lot of attention from both researchers and practitioners over the last few years, particularly after the introduction of the MapReduce paradigm for large-scale parallel data processing [19].",

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AU - Bhatotia, Pramod

AU - Wieder, Alexander

AU - Acar, Umut A.

AU - Rodrigues, Rodrigo

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N2 - Distributed processing of large data sets has become an important task in the life of various companies and organizations, for whom data analysis is an important vehicle to improve the way they operate. This area has attracted a lot of attention from both researchers and practitioners over the last few years, particularly after the introduction of the MapReduce paradigm for large-scale parallel data processing [19].

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BT - Large Scale and Big Data

PB - CRC Press

ER -

Incremental MapReduce computations

Abstract

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