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Original Essays | September 30, 2014

Benjamin Parzybok: IMG A Brief History of Video Games Played by Mayors, Presidents, and Emperors



Brandon Bartlett, the fictional mayor of Portland in my novel Sherwood Nation, is addicted to playing video games. In a city he's all but lost... Continue »

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Data Architecture: From Zen to Reality

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Synopses & Reviews

Publisher Comments:

Data is an expensive and expansive asset. Information capture has forced storage capacity from megabytes to terabytes, exabytes and, pretty soon, zetabytes of data. So the need for accessible storage space for this data is great. To make this huge amount of data usable and relevant, it needs to be organized effectively. Database Base Management Systems, such as Oracle, IBM’s DB2, and Microsoft SqlServer are used often, but these are being enhanced continuously and auxiliary tools are being developed every week; there needs to be a fundamental starting point for it all. That stating point is Data Architecture, the blueprint for organizing and structuring of information for services, service providers, and the consumers of that data.

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. It also discusses proven methods and technologies to solve the complex issues dealing with data. The book uses a holistic approach to the field of data architecture by covering 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 book is a core resource for anyone emplacing, customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality.

    • 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

    Synopsis:

    Find proven methods and technologies to solve the complex issues dealing with data

    Synopsis:

    Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture and secure it. Additional millions are paid to the professionals that extract information out of theses billions of bytes of data. To ensure that it is usable, it must be structured in a flexible manner that is responsive to change, and is readily available for access.

    This book explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing data, and it discusses proven methods and technologies to solve the complex issues dealing with data. The author takes a holistic approach to the field of data architecture various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance.

    Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios

    Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they will face

    Offers concise case studies that highlight how fundamental principles are put into practice

    Table of Contents

    Preface

    Foreword

    Section One: The Principles

    1: Understanding Architectural Principles

    2: Enterprise Architecture Frameworks and Methodologies

    3. Enterprise Level Data Architecture Practices

    4: Understanding Development Methodologies

    Section Two: The Problem

    5: Business Evolution

    6 Business Organizations

    7. Productivity inside the Data Organization

    8. Solutions That Cause Problems

    Section Three: The Process

    9. Data Organization Practices

    10. Models and Model Repositories

    11. Model Constructs and Model Types

    12. Time as a Dimension of the Database

    13. Concepts of Clustering, Indexing and Structures

    Section Four: The Product

    14. Basic Requirements for Physical Design

    15. Physical Database Considerations

    16. Interpretation of Models

    Section Five: Specialized Databases

    17. Data Warehouses I

    18. Data Warehouses II

    19. Dimensional Warehouses from Enterprise Models

    20. The Enterprise Data Warehouse

    21. Object and Object/Relational Databases:

    22. Distributed Databases

    Product Details

    ISBN:
    9780123851260
    Author:
    Tupper, Charles D.
    Publisher:
    Morgan Kaufmann Publishers
    Subject:
    Database Management - General
    Subject:
    Database design
    Copyright:
    Publication Date:
    20110431
    Binding:
    TRADE PAPER
    Language:
    English
    Pages:
    448
    Dimensions:
    9.25 x 7.5 in

    Related Subjects

    Computers and Internet » Database » Design
    Computers and Internet » Database » MIS
    Computers and Internet » Software Engineering » General
    Computers and Internet » Software Engineering » Software Management
    Engineering » Civil Engineering » General
    Health and Self-Help » Health and Medicine » Anatomy and Physiology

    Data Architecture: From Zen to Reality New Trade Paper
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    $68.95 In Stock
    Product details 448 pages Morgan Kaufmann Publishers - English 9780123851260 Reviews:
    "Synopsis" by , Find proven methods and technologies to solve the complex issues dealing with data
    "Synopsis" by , Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture and secure it. Additional millions are paid to the professionals that extract information out of theses billions of bytes of data. To ensure that it is usable, it must be structured in a flexible manner that is responsive to change, and is readily available for access.

    This book explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing data, and it discusses proven methods and technologies to solve the complex issues dealing with data. The author takes a holistic approach to the field of data architecture various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance.

    Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios

    Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they will face

    Offers concise case studies that highlight how fundamental principles are put into practice

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