The term Big Data refers to collection of large volume of data. This collection includes every minute information that can be obtained in structured or unstructured form. When Big Data is used by any company or Business enterprise for analysis; it is termed as Big Data analytics. So, the importance of Big Data can be portrayed from the improvement and development of any organization. Business enterprise use Big Data in order to take accurate decision for progress of firm and hence make the required changes.
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Since the data stored is large or big; it displays the following key features, Lots of data (Terabytes / petabytes) Big data is the term for a collection of huge data.:
1. Volume: The data stored is collected from number of sources; like the company, media, machine, and many more. Hence the volume is considerably large for traditional software to store it.
2. Velocity: The speed or velocity of big data is exceptionally fast.
3. Variety: The data that is stored can be in variable format. It can be in the form of text, diagram, graph audio etc.
Who uses Big Data?
Big data can be collected from three different sources. Streaming data, data from public and data from social media are three main sources of Big Data. Streaming data refers to data that is received through the network of devices directly to your system. You can gather all these data and sort them according to the necessity. Second is the data from public sources that can be gathered from different government or private source that has all the information on desired subject. Third is the social media; this includes data from communication networks that provide good information on the relevant subject. Once Big Data is collected from these sources; it can then be stored using latest and advanced software.
Importance of Big data is reflected when it is analyzed and used by the enterprise, governmental and non- governmental organizations. The use of Big Data can be helpful in number of ways. Some important points are listed below:
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Benefits of Big Data Analysis
➤Impact of Big Data
➤Tools for analyzing and visualizing data
➤Data Analysis and its program
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