Tasuta kohaletoimetamine tellimustele üle 29 €
  • check 10+ miljonit raamatut
  • check Uued tooted iga päev
  • check Meid usaldab üle 1 miljoni kliendi
  • check Hea hind ja allahindlused
  • check Tarne üle kogu Euroopa

Data Quality Assessment - Arkady Maydanchik

inglise keel
2007-05-14
47,87 € 79,79 €

-40% koodiga BOOKS

Meie tarnija laos

Saadetis 22-28 tööpäeva jooksul

30-päevane tagastamisõigus

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 dat ... Täielik kirjeldus

Võib-olla meeldib sulle ka

Kirjeldus

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





Lisateave

Autor Arkady Maydanchik
Kirjastaja Technics Publications
Väljalaskeaasta 2007
Kaanetüüp Pehme kaanega
EAN 9780977140022
Kirjuta oma arvustus
Te vaatate: Data Quality Assessment
Teie hinnang:

Goodreads'i arvustused

47,87 € 79,79 €