Data Stewardship: An Actionable Guide to Effective Management and Data Governance

Plotkin, David

ISBN 10: 0124103898 ISBN 13: 9780124103894

Editorial: Morgan Kaufman Publishers, 2014

Idioma: Ingl�s

Usado Condici�n: Very good. Encuadernaci�n de tapa blanda

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Descripci�n

223p. Pages unmarked and free from notation. Corners lightly curled and creased in rear. Binding secure. Wraps lightly rubbed. No supplements.

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Detalles bibliogr�ficos

T�tulo

Data Stewardship: An Actionable Guide to Effective Management and Data Governance

Editor

Morgan Kaufman Publishers

Fecha de publicaci�n

2014

Idioma

Ingl�s

ISBN 10

0124103898

ISBN 13

9780124103894

Encuadernaci�n

Paperback. 4to

Estado

Very good.

Cat�logos de vendedores

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Sinopsis

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward's time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.

Acerca del autor

David Plotkin has 30 years of experience in data governance, data modeling, metadata, and data quality. He has led efforts at employers and client companies to plan and implement Data Governance both as stand-alone efforts and as part of other initiatives such as Data Quality improvement and Master Data Management. He has previously managed Data Governance at two insurance companies and managed data quality at two large banks. He is a popular speaker at DAMA courses and conferences and serves as a subject matter expert on many topics around metadata, data governance, and data quality.

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