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  <titleInfo>
    <title>Big Data Analytics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Chandramouli , S</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>George, Asha A</namePart>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Robin, CR Rene</namePart>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Miriam, D Doreen Hephzibah</namePart>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Magdalene, J Jasmine Christina</namePart>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Telangana</placeTerm>
    </place>
    <publisher>Universities Press (India) Private Limited</publisher>
    <dateIssued>2024</dateIssued>
    <edition>1</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xxix,1058p.. 24cm(pb)</extent>
  </physicalDescription>
  <note type="statement of responsibility">By S Chandramouli...[et.al]</note>
  <note>Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering.</note>
  <classification authority="ddc">005.7565</classification>
  <identifier type="isbn">9789393330468</identifier>
  <identifier type="lccn">ENG-142670</identifier>
  <identifier type="stock number">DBAD</identifier>
  <recordInfo>
    <recordChangeDate encoding="iso8601">20241127144335.0</recordChangeDate>
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