LEADER 03386nam  2200577Ia 450 
001 9910790515403321
005 20230802010646.0
010   $a1-58347-718-7
035   $a(CKB)2550000001133000
035   $a(EBL)1052157
035   $a(OCoLC)817903224
035   $a(SSID)ssj0000798365
035   $a(PQKBManifestationID)12363339
035   $a(PQKBTitleCode)TC0000798365
035   $a(PQKBWorkID)10744482
035   $a(PQKB)11237044
035   $a(MiAaPQ)EBC1052157
035   $a(Au-PeEL)EBL1052157
035   $a(CaPaEBR)ebr10621576
035   $a(CaONFJC)MIL532709
035   $a(EXLCZ)992550000001133000
100   $a20120511d2012      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBig data governance$b[electronic resource] $ean emerging imperative /$fSunil Soares
205   $a1st ed.
210   $aBoise $cMC Press$d2012
215   $a1 online resource (369 p.)
300   $aDescription based upon print version of record.
311   $a1-58347-377-7 
311   $a1-306-01458-1 
327   $aCover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
327   $aChapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles
327   $aAppendix D: Contributor ProfilesIndex
330   $aWritten by a leading expert in the field, this guide focuses on the convergence of two major trends in information management-big data and information governance-by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes,
606   $aInformation resources management
606   $aKnowledge management
615  0$aInformation resources management.
615  0$aKnowledge management.
676   $a005.74
700   $aSoares$b Sunil$01488278
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910790515403321
996   $aBig data governance$93708538
997   $aUNINA