A Review Paper on Massive Data Analytics, Challenges & Technologies |
Author(s): |
| Mrs Jyoti Sharma , College of Engineering and Technology, chhattisgarh, India; Miss. Neelam Sharma, College of Engineering and Technology, chhattisgarh, India |
Keywords: |
| Big Data Analytics, Hadoop, Massive Data, Structured Data, Unstructured Data |
Abstract |
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In recent years, the web application and communication have seen loads of development and name within the field of data Technology. These web applications and communication area unit regularly generating the massive size, totally different selection and with some real trouble some varied structure information referred to as massive information. As a consequence, we have a tendency to area unit currently within the era of large automatic information assortment, consistently getting several measurements, not knowing that one are going to be relevant to the development of interest. As an example, E-commerce transactions embrace activities like on-line shopping for, marketing or finance. So they generate the information that area unit high in dimensional and sophisticated in structure. The standard information storage techniques are not up to store and analyses those big volume of information. Several analyzers do their research in spatiality reduction of the large information for effective and higher analytics report and information mental image. Hence, the aim of the survey paper is to produce the summary of the large information analytics, issues, challenges and numerous technologies connected with massive information. |
Other Details |
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Paper ID: IJSRDV7I10660 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1577-1584 |
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