Arkady Maydanchik Data Quality Assessment

ISBN 13: 9780977140022

Data Quality Assessment

Valutazione media 3,6
( su 20 valutazioni fornite da Goodreads )
 
9780977140022: Data Quality Assessment

Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies.

Quality data is the key to any advancement, whether it’s from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, and employees. Fortunately, improving your data quality doesn't have to be such a mammoth task.

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

About the Author:

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.

Review:

DATA QUALITY ASSESSMENT is an excellent book and a must read for any data quality professional. Arkady packs years of experience in data quality into comprehensive step-by-step instructions for practitioners of all levels. --R. Michael Levin, Sr. Database Architect, Lockheed Martin

DATA QUALITY ASSESSMENT is an excellent book and a must read for any data quality professional. Arkady packs years of experience in data quality into comprehensive step-by-step instructions for practitioners of all levels. --R. Michael Levin, Sr. Database Architect, Lockheed Martin

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Maydanchik, Arkady
ISBN 10: 0977140024 ISBN 13: 9780977140022
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Arkady Maydanchik
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Descrizione libro Technics Publications LLC, United States, 2007. Paperback. Condizione libro: New. Language: English . Brand New Book ***** Print on Demand *****. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. This book is intended for those who need to understand, correct, or prevent data quality issues in their organisation. Codice libro della libreria APC9780977140022

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Descrizione libro Technics Publications LLC, United States, 2007. Paperback. Condizione libro: New. Language: English . Brand New Book ***** Print on Demand *****.The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. This book is intended for those who need to understand, correct, or prevent data quality issues in their organisation. Codice libro della libreria APC9780977140022

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Descrizione libro Technics Publications. Paperback. Condizione libro: New. Paperback. 336 pages. Dimensions: 9.9in. x 7.0in. x 0.8in.Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. 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. Master techniques in data profiling and gathering metadata, designing data quality rules, organizing rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says This is one of those books that marks a milestone in the evolution of a discipline. Arkadys insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Codice libro della libreria 9780977140022

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Descrizione libro Technics Publications, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780977140022_lsuk

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