Volume 8 Issue 3 - May 2017

  • 1. Hybrid data processing model for big data - a review

    Authors : Jigisha Purohit

    Pages : 356-360

    DOI : http://dx.doi.org/10.21172/1.83.051

    Keywords : Big data, Hybrid Processing, Lambda Architecture, Summingbird

    Abstract :

    Big data programming models are widely used in large scale data processing and data analytics. In today's scenario large volumes of data is being generated from smart phones, wireless sensors, and enterprises. A common processing technique which fits single enterprise scope is not sufficient for such huge amounts of data. Its function varies with the type of data being handled, whose range varies from historical data to real time live streaming. The two broad views of data handling being Batch data processing and Real time data processing techniques. Hybrid approach for data processing which handles both batch data and real time data to solve specific set of business requirements. This paper focuses on study and issues of existing hybrid data processing model to solve big data issues.

    Citing this Journal Article :

    Jigisha Purohit, "Hybrid data processing model for big data - a review", https://www.ijltet.org/journal_details.php?id=914&j_id=3773, Volume 8 Issue 3 - May 2017, 356-360, #ijltetorg