LEADER 03315nam 2200529 450 001 9910554279503321 005 20230629234647.0 010 $a3-11-066406-2 024 7 $a10.1515/9783110664065 035 $a(OCoLC)1202466575$z(OCoLC)1202472743 035 $a(CKB)4100000011526315 035 $a(MiAaPQ)EBC6377852 035 $a(DE-B1597)531904 035 $a(DE-B1597)9783110664065 035 $a(OCoLC)1202466575 035 $a(EXLCZ)994100000011526315 100 $a20210315d2021 uy 0 101 0 $aeng 135 $aurc|#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig data management $edata governance principles for big data analytics /$fPeter Ghavami 210 1$aBerlin ;$aBoston :$cDe Gruyter,$d[2021] 210 4$dİ2021 215 $a1 online resource (xviii, 155 pages) 300 $aIncludes index. 311 $a3-11-066291-4 327 $tFrontmatter --$tAcknowledgments --$tAbout the Author --$tContents --$tIntroduction --$tPart 1: Big Data Overview --$tChapter 1 Introduction to Big Data --$tChapter 2 Enterprise Data Governance Directive --$tPart 2: Big Data Governance Fundamentals --$tChapter 3 Data Risk Management --$tChapter 4 NoSQL Storage and Security Considerations --$tChapter 5 The Key Components of Big Data Governance --$tChapter 6 Big Data Governance Framework --$tChapter 7 Master Data Management --$tChapter 8 Big Data Governance Rules: Best Practices --$tChapter 9 Big Data Governance Best Practices --$tChapter 10 Big Data Governance Framework Program --$tPart 3: Big Data and Model Risk Management --$tChapter 11 Why Data and Model Risk Management? --$tSummary --$tIndex 330 $aData analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. 606 $aBig data 610 $aAnalytics. 610 $aBig data. 610 $aData governance. 610 $aData lifecycle. 610 $aData management. 610 $aHadoop. 615 0$aBig data. 676 $a005.7 700 $aGhavami$b Peter K.$01217690 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554279503321 996 $aBig data management$92815955 997 $aUNINA