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Handbook of Data Quality

Overview of attention for book
Cover of 'Handbook of Data Quality'

Table of Contents

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    Book Overview
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    Chapter 1 Prologue: Research and Practice in Data Quality Management
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    Chapter 2 Data Quality Management Past, Present, and Future: Towards a Management System for Data
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    Chapter 3 Data Quality Projects and Programs
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    Chapter 4 Cost and Value Management for Data Quality
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    Chapter 5 On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America
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    Chapter 6 Data Warehouse Quality: Summary and Outlook
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    Chapter 7 Using Semantic Web Technologies for Data Quality Management
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    Chapter 8 Data Glitches: Monsters in Your Data
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    Chapter 9 Generic and Declarative Approaches to Data Quality Management
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    Chapter 10 Linking Records in Complex Context
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    Chapter 11 A Practical Guide to Entity Resolution with OYSTER
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    Chapter 12 Managing Quality of Probabilistic Databases
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    Chapter 13 Data Fusion: Resolving Conflicts from Multiple Sources
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    Chapter 14 Ensuring the Quality of Health Information: The Canadian Experience
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    Chapter 15 Shell’s Global Data Quality Journey
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    Chapter 16 Creating an Information-Centric Organisation Culture at SBI General Insurance
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    Chapter 17 Epilogue: The Data Quality Profession
Attention for Chapter 6: Data Warehouse Quality: Summary and Outlook
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Citations

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54 Dimensions

Readers on

mendeley
7 Mendeley
citeulike
1 CiteULike
Summary Dimensions citations
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Chapter title
Data Warehouse Quality: Summary and Outlook
Chapter number 6
Book title
Handbook of Data Quality
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-36257-6_6
Book ISBNs
978-3-64-236256-9, 978-3-64-236257-6
Authors

Lukasz Golab

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 3 43%
Engineering 1 14%
Unknown 3 43%

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