1Quality Assurance Vice-President, Fidelity Information Services, Chicago, Ilinois, USA, Email: vidyalathad@gmail.com
2President & CEO, VSOLVEIT Inc., Illinois, USA, pmsruv@yahoo.com
Online published on 10 October, 2018.
Big data is a term framed by IT vendors to introduce new technologies like a) Map reduce b)Hadoop c) NOSQL etc. Big Data is a collection of large data sets including structured and unstructured data sets. Bigdata is different from large data. Big data includes data sources that encompass extremely large volumes of data with high velocity and wide variety. Technological developments in software, hardware, storage, networking fields are yielding to new opportunities in data collection.
It is extremely difficult to analyze this data by classical database methods. We have high density cell phones and other devices generating huge volumes of data leading to data explosion. Big data requires sophisticated tools to analyze all of the structured and unstructured data from millions of customers, devices, and machine interactions.
Big data combines with science, research and government activities. An organization can analyze peta bytes of data for patterns, trends, and anomalies leading toinsights in varietyof ways. The twoprimary computing models that have shaped the collection of big data include distributed computing and virtualization.
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