Big Data : : Concepts, Warehousing, and Analytics.

This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complexdecision processes, giving special attention to Big Data Warehouses as a way ofefficiently storing and processing batch or streaming data for structured orsemi-structured analytical pro...

Full description

Saved in:
Bibliographic Details
:
Place / Publishing House:Aalborg : : River Publishers,, 2020.
Ã2020.
Year of Publication:2020
Edition:1st ed.
Language:English
Online Access:
Physical Description:1 online resource (316 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 50030251810
ctrlnum (MiAaPQ)50030251810
(Au-PeEL)EBL30251810
(OCoLC)1153081248
collection bib_alma
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01703nam a22003493i 4500</leader><controlfield tag="001">50030251810</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073849.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2020 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9788770221832</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)50030251810</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL30251810</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1153081248</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Santos, Maribel Yasmina.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big Data :</subfield><subfield code="b">Concepts, Warehousing, and Analytics.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Aalborg :</subfield><subfield code="b">River Publishers,</subfield><subfield code="c">2020.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">Ã2020.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (316 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complexdecision processes, giving special attention to Big Data Warehouses as a way ofefficiently storing and processing batch or streaming data for structured orsemi-structured analytical problems.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Santos, Maribel Yasmina</subfield><subfield code="t">Big Data: Concepts, Warehousing, and Analytics</subfield><subfield code="d">Aalborg : River Publishers,c2020</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30251810</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>
record_format marc
spelling Santos, Maribel Yasmina.
Big Data : Concepts, Warehousing, and Analytics.
1st ed.
Aalborg : River Publishers, 2020.
Ã2020.
1 online resource (316 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complexdecision processes, giving special attention to Big Data Warehouses as a way ofefficiently storing and processing batch or streaming data for structured orsemi-structured analytical problems.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Santos, Maribel Yasmina Big Data: Concepts, Warehousing, and Analytics Aalborg : River Publishers,c2020
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30251810 Click to View
language English
format eBook
author Santos, Maribel Yasmina.
spellingShingle Santos, Maribel Yasmina.
Big Data : Concepts, Warehousing, and Analytics.
author_facet Santos, Maribel Yasmina.
author_variant m y s my mys
author_sort Santos, Maribel Yasmina.
title Big Data : Concepts, Warehousing, and Analytics.
title_sub Concepts, Warehousing, and Analytics.
title_full Big Data : Concepts, Warehousing, and Analytics.
title_fullStr Big Data : Concepts, Warehousing, and Analytics.
title_full_unstemmed Big Data : Concepts, Warehousing, and Analytics.
title_auth Big Data : Concepts, Warehousing, and Analytics.
title_new Big Data :
title_sort big data : concepts, warehousing, and analytics.
publisher River Publishers,
publishDate 2020
physical 1 online resource (316 pages)
edition 1st ed.
isbn 9788770221832
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30251810
illustrated Not Illustrated
oclc_num 1153081248
work_keys_str_mv AT santosmaribelyasmina bigdataconceptswarehousingandanalytics
status_str n
ids_txt_mv (MiAaPQ)50030251810
(Au-PeEL)EBL30251810
(OCoLC)1153081248
carrierType_str_mv cr
is_hierarchy_title Big Data : Concepts, Warehousing, and Analytics.
marc_error Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ]
_version_ 1792331068504801280