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Journal: International Journal of Research in Science & Technology (Vol.1, No. 5)

Publication Date:

Authors : ; ;

Page : 7-10

Keywords : Data deluge; Hadoop; HDFS; MapReduce; RDBMS;

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The emergence of new data sources and the need to consider everything, even the unstructured data has led many organisations to a deduction that a single data warehousing scheme now cannot handle the growing depth of analytical workloads. Incoming data volumes are exploding in complexity, variety, volume and speed. Being purpose-built for big data analytics, Hadoop is now becoming a must addition to data warehouse environment, where it fulfils several roles. With this, business would be able to understand data quickly and also to explore this data for value, allowing analyst to ask and reprise their business questions quickly. Hadoop, built to allow certain forms of batch oriented distributed data processing, lends itself readily to the assimilation process. But, it was built on fundamentals which severely limit its ability to act as an analytic database.

Last modified: 2014-06-23 23:38:25