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Access2011 van garderen-suhonos-part2
 

Access2011 van garderen-suhonos-part2

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    Access2011 van garderen-suhonos-part2 Access2011 van garderen-suhonos-part2 Presentation Transcript

    • BIG DATA
    • "datasets that grow solarge that they become difficult to work with using relationaldatabases and within atolerable elapsed time"
    • BIG DATA IS BIG
    • LIKE, REALLY BIG
    • FACEBOOK: 140 BILLION PHOTOSHUMAN GENOME: 3 BILLION BASE PAIRSGOOGLE: 50 BILLION WEB PAGESWORLDCAT: 1.5 BILLION ITEM RECORDS
    • NOT REALLY
    • EUROPEANA: 20 MILLION (715K / COUNTRY)LIBRARY OF 1.9 MILLIONCONGRESS:CANADIANA: 1 MILLIONLIBRARY AND 3.5 MILLIONARCHIVES CANADA: (ARCHIVAL DESCRIPTIONS)
    • BIG DATAIS COMPLICATED
    • 1966
    • 1976
    • NOT REALLY
    • ಠ_ಠ
    • SCALABILITY
    • ● ICA-AtoM (LAMP)● BENCHMARK 3.5M RECORDS● 100% OPEN SOURCE SOFTWARE● COMMODITY HARDWARE
    • CAN WE DO IT?
    • WRITE SPEED
    • READ SPEED
    • WRITE MEMORY
    • READ MEMORY
    • NOSQL vs. SQL (a.k.a. ODM vs. ORM)● 4x - 10x FASTER● 50% - 90% LESS MEMORY
    • RELATIONAL IF YOUR DATADATABASES IS NOTSCALE WELL HIERARCHICALSOLR IF YOU HAVESCALES WELL INFINITE RAMBEWARE THE NOSQL IS ADOGMA OF SQL VIABLE OPTIONTHINK SIDEWAYS SCALE OUT →
    • THE CLOUD IS A LIE
    • “big data is less about size, and more about freedom” open source tools + distributed design = new opportunities