Data Architecture

From Zen to Reality

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Data Architecture by Charles Tupper, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Charles Tupper ISBN: 9780123851277
Publisher: Elsevier Science Publication: May 9, 2011
Imprint: Morgan Kaufmann Language: English
Author: Charles Tupper
ISBN: 9780123851277
Publisher: Elsevier Science
Publication: May 9, 2011
Imprint: Morgan Kaufmann
Language: English

Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and warehouse design. This text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality.

The book presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios. It teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions. It includes the detail needed to illustrate how the fundamental principles are used in current business practice. The book is divided into five sections, one of which addresses the software-application development process, defining tools, techniques, and methods that ensure repeatable results.

Data Architecture is intended for people in business management involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data administrators. It is also an ideal reference tool for those in a higher-level education process involved in data or information technology management.

  • Presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios
  • Teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions
  • Includes the detail needed to illustrate how the fundamental principles are used in current business practice
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and warehouse design. This text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality.

The book presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios. It teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions. It includes the detail needed to illustrate how the fundamental principles are used in current business practice. The book is divided into five sections, one of which addresses the software-application development process, defining tools, techniques, and methods that ensure repeatable results.

Data Architecture is intended for people in business management involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data administrators. It is also an ideal reference tool for those in a higher-level education process involved in data or information technology management.

More books from Elsevier Science

Cover of the book Transportation Policy and Economic Regulation by Charles Tupper
Cover of the book An Introduction to Cardiovascular Physiology by Charles Tupper
Cover of the book Brainstorming and Beyond by Charles Tupper
Cover of the book Microfluidics: Modeling, Mechanics and Mathematics by Charles Tupper
Cover of the book Handbook of Digital Forensics and Investigation by Charles Tupper
Cover of the book Damages on Pumps and Systems by Charles Tupper
Cover of the book Energy, Resources and Welfare by Charles Tupper
Cover of the book Proceedings of the International Conference on Colloid and Surface Science by Charles Tupper
Cover of the book Multiple Sclerosis As A Neuronal Disease by Charles Tupper
Cover of the book Introduction to Homeland Security by Charles Tupper
Cover of the book International Review of Cell and Molecular Biology by Charles Tupper
Cover of the book Garment Manufacturing Technology by Charles Tupper
Cover of the book Wildlife Toxicity Assessments for Chemicals of Military Concern by Charles Tupper
Cover of the book Heterogeneous Computing with OpenCL by Charles Tupper
Cover of the book Digital Dialogues and Community 2.0 by Charles Tupper
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy