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Sethi et al., 2014 - Google Patents

Leveraging hadoop framework to develop duplication detector and analysis using Mapreduce, Hive and Pig

Sethi et al., 2014

Document ID
10511026460225628842
Author
Sethi P
Kumar P
Publication year
Publication venue
2014 Seventh International Conference on Contemporary Computing (IC3)

External Links

Snippet

The burgeoning volume of torrential data continues to grow exponentially in this very age of the Internet of Things. As this torrent of digital datasets continue to outgrow in datacenters, the focus needs to be shifted to stored data reduction methods and that too pertaining to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30067—File systems; File servers
    • G06F17/30129—Details of further file system functionalities
    • G06F17/3015—Redundancy elimination performed by the file system
    • G06F17/30156—De-duplication implemented within the file system, e.g. based on file segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/3015—Redundancy elimination performed by the file system
    • G06F17/30153—Redundancy elimination performed by the file system using compression, e.g. sparse files
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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
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    • G—PHYSICS
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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30575—Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • G—PHYSICS
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    • G—PHYSICS
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    • G06F9/00—Arrangements for programme control, e.g. control unit
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