Mostak, 2013 - Google Patents

An overview of MapD (massively parallel database)

Mostak, 2013

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Document ID
15587578599754668942
Author
Mostak T
Publication year
Publication venue
White paper. Massachusetts Institute of Technology

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Snippet

In recent years, there has been a focus on using distributed clusters of computers to compute aggregates and other statistics for massive datasets. While these approaches, such as the popular MapReduce framework, are invaluable for extracting actionable information …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30442—Query optimisation
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30321—Indexing structures
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    • G06F17/30067—File systems; File servers
    • G06F17/30129—Details of further file system functionalities
    • 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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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

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