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Spark 101: Online Approximate OLAP in SparkSQL

The Hadoop Summit 2015 talk below introduces G-OLA, a parallel approximate query engine built on top of BlinkDB and SparkSQL, that provides a radically different “online execution” paradigm to incrementally process massive amounts of data on clusters of hundreds or thousands of machine while returning approximate answers. G-OLA presents the user with a meaningful approximate result (with error bars) that is continuously refined at a speed comfortable to the user and enables them to control the query execution on the fly. The slides for this presentation are available HERE.

 

 

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Comments

  1. Revathy Hari says:

    Can spark be used for generate sequential patterns from dynamic streams of big data( especially considering dna sequences as data set)?

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