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This paper is all about retailer we all knows there is many of websites (amazon, flipkart) etc. Where we are using Hadoop technology to perform creation of data, fetching and storing (pig and hive). Here, retailer is having access to a object of production. In Bigdata, this article we attempt to focus on the value created for retail industry. We focused on the value that is to be create, stored and resolve by big data for retailers easiness. While major of paper are published of big data and their analysis around their technical execution there is few of paper that work on retails. So, that is not exclusive we all live in this era where we won't do any paper work. In retail data analysis we work on Hadoop to listing out the customers detail regarding their objects and their module that are used. And also there is little bit study of Hadoop distributed file system is to store bulk of data reliable, clustering and streaming. An also studied of various components as spark and flume. In distributed files there is thousands of users access a application like as facebook and twitter so all about the management of the unstructured data.
Keywords:
Retail data analysis, hive, Distributed frameworks, Big data, Hadoop study, Big data components
Cite Article:
"ANALYSIS OF RETAIL DATA AND DISTRIBUTED FRAMEWORKS USING HADOOP TECHNOLOGY", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 6, page no.81 - 84, June-2018, Available :http://www.ijrti.org/papers/IJRTI1806014.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator