Data Architecture

From Zen to Reality

Author: Charles Tupper

Publisher: Elsevier

ISBN: 9780123851277

Category: Computers

Page: 448

View: 7841

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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
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Handbook of Research on Technology-Centric Strategies for Higher Education Administration

Author: Tripathi, Purnendu,Mukerji, Siran

Publisher: IGI Global

ISBN: 1522525491

Category: Education

Page: 501

View: 1142

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Although the advancement of educational technologies is often discussed in a teaching capacity, the administration aspect of this research area is often overlooked. Studying the impact technology has on education administration not only allows us to become familiar with the most current trends and techniques in this area, but also allows us to discover the best way forward in all aspects of education. The Handbook of Research on Technology-Centric Strategies for Higher Education Administration is a pivotal resource covering the latest scholarly information on the application of digital media among aspects of tertiary education administration such as policy, governance, marketing, leadership, and development. Featuring extensive coverage on a broad range of topics and perspectives including virtual training, blogging, and e-learning, this book is ideally designed for policy makers, researchers, and educators seeking current research on administrative-based technology applications within higher education.
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Computational Social Science in the Age of Big Data

Concepts, Methodologies, Tools, and Applications

Author: Martin Welker,Cathleen M. Stützer,Marc Egger

Publisher: Herbert von Halem Verlag

ISBN: 3869622687

Category: Business & Economics

Page: 460

View: 8038

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Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.
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Model-Driven Engineering and Software Development

4th International Conference, MODELSWARD 2016, Rome, Italy, February 19-21, 2016, Revised Selected Papers

Author: Slimane Hammoudi,Luís Ferreira Pires,Bran Selic,Philippe Desfray

Publisher: Springer

ISBN: 331966302X

Category: Computers

Page: 355

View: 6357

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This book constitutes thoroughly revised and selected papers from the 4th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2016, held in Rome, Italy, in February 2016. The 17 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 118 submissions. They are organized in topical sections named: modeling languages, tools and architectures; methodologies, processes and platforms; applications and software development.
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Database

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Information storage and retrieval systems

Page: N.A

View: 4492

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Zen Buddhism: Japan

Author: Heinrich Dumoulin

Publisher: Schirmer Trade Books

ISBN: 9780029082409

Category: Religion

Page: 509

View: 501

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Traces the development of Zen Buddhism in Japan, and discusses beliefs, rituals, texts, and major individuals and schools
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Data Stores, Data Warehousing, and the Zachman Framework

Managing Enterprise Knowledge

Author: William H. Inmon,John A. Zachman,Jonathan G. Geiger

Publisher: Computing McGraw-Hill

ISBN: N.A

Category: Computers

Page: 358

View: 4198

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The Zachman Framework is a framework to organize and analyze data so it can be turned into a source of knowledge. Here is the first and last word on this hot topic from the inventors of the framework. The text explains how companies can apply this technology to their own data warehouses and stores.
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