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Hadoopa – coolinarism
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Hadoopa

Hadoopa

Apache Hadoop™ was born out of a need to process an avalanche of big data. The web was generating more and more information on a daily basis, and it was becoming very difficult to index over one billion pages of content. In order to cope, Google invented a new style of data processing known as MapReduce. A year after Google published a white paper describing the MapReduce framework, Hadoop was created to apply these concepts to an open-source software framework to support distribution for the Nutch search engine project. A scalable fault-tolerant distributed system for data storage and processing:

  • Flexibility – Store any data, Run any analysis
  • Scalability – Start at 1TB/3-nodes grow to petabytes/1000s of nodes
  • Economics – Cost per TB at a fraction of traditional options
reference: practicalanalytics.co

image: wikimedia

t-penned by netize R
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