Data Quality Assessment. Author: Maydanchik Arkady Arkady’s insights and techniques fuel the transition of data quality management from art to science. For more than 20 years, Arkady Maydanchik has been a recognized leader and innovator in the fields of (41). Data Quality Assessment – online training course. Print version Maydanchik, Arkady. Data quality assessment. Bradley Beach, NJ: Technics Publications, c (DLC) (OCoLC).
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University of South Australia Library. Series Data quality for practitioners series Subjects Database design — Quality control. Licence restrictions may apply Book; Illustrated English Show qjality more libraries Be the first to add this to a list.
Data Quality Assessment – Arkady Maydanchik – Google Books
Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Set up My libraries How do I set up “My libraries”? These 5 locations in All: Other Form Print version Maydanchik, Arkady.
This book is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organisation. Separate different tags with a comma.
Data Quality Assessment
We were unable to find this edition in any bookshop we are able to search. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners. Victorian Government Library Service.
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Data quality assessment / Arkady Maydanchik. – Version details – Trove
Data quality assessment overview 4. Language English View all editions Prev Next edition 3 of 3. None of your libraries hold this item. Data quality program overview 3. Open to the public ; Held: Fortunately, improving your data quality does not have to be such a mammoth task. Data Quality Assessment Data quality for practitioners series. Fine-tuning data quality rules Public Private login e. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, Defence Science and Technology Group.
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Imagine a group of prehistoric hunters armed with stone-tipped spears. This single location in South Australia: Login to add to list.
Skip to content Skip to search. Other links Connect to this resource online at https: Databases — Quality control. Implementing data quality rules Master techniques in data profiling and gathering metadata, designing data quality rules, organising rule and error catalogues, and constructing the dimensional data quality scorecard.
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