|
|
|
|
LEADER |
00000cam a2200000Mi 4500 |
001 |
EBOOKCENTRAL_ocn923644561 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr |n||||||||| |
008 |
151017s2013 xx o 000 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|e pn
|c EBLCP
|d DEBSZ
|d OCLCQ
|d MERUC
|d OCLCQ
|d ZCU
|d CEF
|d OCLCF
|d ICG
|d OCLCO
|d OCLCQ
|d DKC
|d AU@
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|
020 |
|
|
|a 9781583477618
|
020 |
|
|
|a 1583477616
|
029 |
1 |
|
|a DEBBG
|b BV044086454
|
029 |
1 |
|
|a DEBSZ
|b 449528669
|
035 |
|
|
|a (OCoLC)923644561
|
050 |
|
4 |
|a HF5548.37.S63 2013eb
|
082 |
0 |
4 |
|a 005.74
|q OCoLC
|2 23/eng/20230216
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Soares, Sunil.
|
245 |
1 |
0 |
|a IBM InfoSphere :
|b a Platform for Big Data Governance and Process Data Governance.
|
260 |
|
|
|a Ketchum :
|b M C Press,
|c 2013.
|
300 |
|
|
|a 1 online resource (113 pages)
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
588 |
0 |
|
|a Print version record.
|
505 |
0 |
|
|a ""Cover""; ""Copyright""; ""Dedication""; ""About the Author""; ""Contents""; ""Foreword by David Corrigan""; ""Foreword by Inderpal Bhandari""; ""PART I: Big Data Integration and Governance with IBM InfoSphere""; ""Chapter 1: An Introduction to Big Data Governance""; ""Chapter 2: The Big Data Governance Framework""; ""2.1 Big Data Types""; ""2.2 Information Governance Disciplines""; ""2.3 Industry and Functional Scenarios for Big Data Governance""; ""Chapter 3: The IBM Big Data Platform""; ""3.1 IBM Big Data Products""; ""3.2 IBM Big Data Platform Differentiators""
|
505 |
8 |
|
|a ""Chapter 4: Big Data Integration""""4.1 Bulk Data Movement""; ""4.2 Data Replication""; ""4.3 Data Virtualization""; ""Chapter 5: Metadata""; ""5.1 Establish a Glossary That Represents the Business Definitions for Key Big Data Terms""; ""5.2 Tag Sensitive Big Data Within the Business Glossary""; ""5.3 Maintain Technical Metadata to Support Data Lineage and Impact Analysis""; ""5.4 Gather Metadata from Unstructured Documents to Support Enterprise Search""; ""Chapter 6: Big Data Security and Privacy""; ""6.1 Identify Sensitive Big Data""
|
505 |
8 |
|
|a ""6.2 Flag Sensitive Big Data Within the Metadata Repository""""6.3 Mask Sensitive Big Data in Production and Non-Production Environments""; ""6.4 Monitor Access to Sensitive Big Data by Privileged Users""; ""Chapter 7: Big Data Quality""; ""7.1 Leverage Semi-Structured and Unstructured Data to Improve the Quality of Sparsely Populated Structured Data""; ""7.2 Use Streaming Analytics to Address Data Quality Issues In-Memory Without Landing Interim Results to Disk""; ""7.3 Cleanse Big Data Before or After Processing in Hadoop""; ""Chapter 8: Master Data Integration""
|
505 |
8 |
|
|a ""8.1 Improve the Quality of Master Data to Support Big Data Analytics""""8.2 Leverage Big Data to Improve the Quality of Master Data""; ""8.3 Improve the Quality and Consistency of Key Reference Data to Support the Big Data Governance Program""; ""8.4 Extract Meaning from Unstructured Text to Enrich Master Data""; ""8.5 Enrich Customer Master Data with Insights from Social Media to Create Social MDM""; ""8.6 Turbo-Charge MDM with Hadoop Technologies""; ""Chapter 9: Managing the Lifecycle of Big Data""
|
505 |
8 |
|
|a ""9.1 Expand the Retention Schedule to Include Big Data Based on Local Regulations and Business Needs""""9.2 Document Legal Holds and Support eDiscovery Requests""; ""9.3 Compress and Archive Big Data on Hadoop to Reduce Storage Costs""; ""9.4 Archive Big Data in Immutable Format with Seamless Access to Hadoop for Analytics""; ""9.5 Manage the Lifecycle of Real-Time, Streaming Data""; ""9.6 Defensibly Dispose of Big Data No Longer Required Based on Regulations and Business Needs""; ""PART II: Process Data Governance with IBM InfoSphere""
|
500 |
|
|
|a ""Chapter 10: An Introduction to Process Data Governance""
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Big data.
|
650 |
|
0 |
|a Database management.
|
650 |
|
0 |
|a Data protection.
|
650 |
|
0 |
|a IBM software.
|
650 |
|
6 |
|a Données volumineuses.
|
650 |
|
6 |
|a Bases de données
|x Gestion.
|
650 |
|
6 |
|a Protection de l'information (Informatique)
|
650 |
|
6 |
|a Logiciels IBM.
|
650 |
|
7 |
|a Big data
|2 fast
|
650 |
|
7 |
|a Data protection
|2 fast
|
650 |
|
7 |
|a Database management
|2 fast
|
650 |
|
7 |
|a IBM software
|2 fast
|
758 |
|
|
|i has work:
|a IBM InfoSphere (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGm3HwQBGqyKt76JJgVdw3
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Soares, Sunil.
|t IBM InfoSphere : A Platform for Big Data Governance and Process Data Governance.
|d Ketchum : M C Press, ©2013
|z 9781583473825
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3015277
|z Texto completo
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL3015277
|
994 |
|
|
|a 92
|b IZTAP
|