Big Data Analytics
Big data analytics is a step by step process of analyzing large amount of different datatypes and big data for uncovering hidden correlations ,unknown patterns and other useful information.
The process can be imagined in the below picture.
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| Big Data Analytics |
Information gain from these analytics can extract competitive advantages over rival organization and can result in business benefits such as increased revenue and and effective marketing.
To make the companies enable to make better business decisions by enabling Data Scientist and other data experts to analyze huge volume of data as well as utapped data source by business Intelligence(BI).thsese source include web servers logs ,internet click-stream data ,social media activity reports,mobile phone records and sensors captured data. Some people exclusively relates Big Data and big data analytics to unstructured Data but large scale firms like Gartner Inc. and Forrester Research Inc. also considers transactions and other structured collection of data to be valid forms of big data.
Big Data analytics are done by using tools and softwares normaly used as a part of advance analytics discipline such as Data Mining and Predictive analytics.Traditional data warehouses do not fits for unstructured Big Data.These warehouse do not completes the demand of process handling of big data too.
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There is a huge demand for professional big data analysts who are able to use the software which is used to process the big data in order to get accurate results. MNC's are looking for professionals who can process their data so that they can get into a accurate business decision which would eventually help them to earn more profits, they can serve their customers better, and their risk is lowered.
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