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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 8 Issue 3</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Computer Science and Engineering</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>May - June 2020</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2020</Year>
        <Month>06</Month>
        <Day>07</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>Big Data Analysis: Concepts, Challenges And Opportunities</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>197</FirstPage>
      <LastPage>201</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Dr Shweta Sinha</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
             
        </Author>
      </AuthorList>
      <DOI>https://doi.org/10.21276/ijircst.2020.8.3.29</DOI>
      <Abstract>Big Data has the potential to bring valued insights for advanced decision making. It has become a trending practice to adopt Big Data into their process. It has attracted both the academicians as well as the industry people. A voluminous amount of diverse data is generated every day, and Big Data has emerged as an approach to process them. Data can be analysed in a different manner depending upon the requirement. The paper identifies the challenges and issues associated with Big Data and points out the research and industry opportunities in this field.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Big Data Analytics, Big Data Challenges, Big Data Lifecycle, Big Data Opportunities.</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=411</Abstract>
      </URLs>      
    </Journal>
  </Article>
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