Data Management: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors

The official definition provided by Dama International, the professional organization for those in the data management profession, is: Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management.

Alternatively, the definition provided in the Dama Data Management Body of Knowledge (Dama-Dmbok) is: Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.

This book is your ultimate resource for Data Management. Here you will find the most up-to-date information, analysis, background and everything you need to know.

In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Management right away, covering: Data management, Abstraction (computer science), Ado.Net, Ado.Net data provider, Wcf Data Services, Age-Based Content Rating System, Data archaeology, Archive site, Association rule learning, Atomicity (database systems), Australian National Data Service, Automated Tiered Storage, Automatic data processing, Automatic data processing equipment, Bbc Archives, Bitmap index, British Oceanographic Data Centre, Business intelligence, Business Intelligence Project Planning, Change data capture, Chunked transfer encoding, Cleansing and Conforming Data, Client-side persistent data, Clone (database), Cloud Data Management Interface, Cognos Reportnet, Commit (data management), Commitment ordering, The History of Commitment Ordering, Comparison of Ado and Ado.Net, Comparison of Olap Servers,