Big Data

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Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
Big data is often characterized by the 3Vs:
•the extreme volume of data,
•the wide variety of data types and
•the velocity at which the data must be processed.

BigData could be found in three forms: •Structured: Any data that can be stored, accessed and processed in the form of fixed format is termed as a 'structured' data.
Unstructured: Any data with unknown form or the structure is classified as unstructured data.
Semi-structured: Semi-structured data can contain both the forms of data. We can see semi-structured data as a structured in form but it is actually not defined

Benefits of Big Data Processing:
•Businesses can utilize outside intelligence while taking decisions : Access to social data from search engines and sites like facebook, twitter are enabling organizations to fine tune their business strategies.
•Improved customer service: Traditional customer feedback systems are getting replaced by new systems designed with Big Data technologies. In these new systems, Big Data and natural language processing technologies are being used to read and evaluate consumer responses.
Early identification of risk to the product/services, if any
Better operational efficiency

Applications of Big data
•Government
•International development
•Manufacturing
•Healthcare
•Education
•Media
•Insurance
•Internet of Things (IoT)
•Information Technology
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