Data Quality Assessment

ISBN-10: 0977140024
ISBN-13: 9780977140022
Edition: 2007
List price: $54.95
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Description: DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach  More...

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Book details

List price: $54.95
Copyright year: 2007
Publisher: Technics Publications, LLC
Publication date: 5/1/2007
Binding: Paperback
Pages: 321
Size: 7.25" wide x 10.25" long x 0.75" tall
Weight: 1.540
Language: English

DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors -- the first step in any data quality program. Master techniques in Data profiling and gathering metadata , Identifying, designing, and implementing data quality rules, Organizing rule and error catalogues, Ensuring accuracy and completeness of the data quality assessment, Constructing the dimensional data quality scorecard, Executing a recurrent data quality assessment

Arkady Maydanchik is a recognized practitioner, author, and educator in the field of data quality and information integration. He is a frequent speaker at conferences and seminars, and teaches data quality courses through the Data Warehousing Institute and through his company, Data Quality Group LLC.

Causes of Data Quality Problems
Data Quality Program Overview
Data Quality: Assessment Overview
Attribute Domain Constraints
Relational Integrity Rules
Rules for Historical Data
Rules for State-Dependent Objects
Attribute Dependency Rules
Implementing Data Quality Rules
Fine-Tuning Data Quality Rules
Cataloguing Errors
Measuring Data Quality Scores
Data Quality Meta Data Warehouse
Recurrent Data Quality Assessment
Index

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