Handbook of Data Management
eBook - ePub

Handbook of Data Management

1999 Edition

  1. 1,101 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Data Management

1999 Edition

About this book

Packed with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to:

  • implement Web-enabled data warehouses
  • build multimedia databases
  • master data mining
  • use enterprise database modeling
  • stay up-to-date with data conversion and migration
  • maximize OLAP architectures and tools
    Handbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding:
  • organization for quality information systems
  • data definition
  • database design and management
  • object and hybrid databases
  • and more
    Each contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else.
    Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.
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    Yes, you can access Handbook of Data Management by Sanjiv Purba in PDF and/or ePUB format, as well as other popular books in Computer Science & Databases. We have over one million books available in our catalogue for you to explore.

    Index

    A

    AAFES (Army and Air Force Exchange Services), 69-9-69-10
    Abstract data types (ADT), 68-5
    Abstract Syntax Notation One (ASN. 1), 48-11
    Access control. See Data access
    Accuracy of backups, 17-4-17-11
    Acknowledgement codes (ACK), 54-7-54-8
    Acknowledgement/negative acknowledgement (ACK/NAK), 50-8
    Active data objects (ADO). See also ActiveX
    benefits, 39-10-39-11
    Data Access Objects, 37-4-37-8, 37-12-37-13, 39-10
    remote, 37-8-37-10, 37-12-37-13
    ActiveX
    ActiveX Data Object, 37-10, 37-13
    ActiveX DLL, 9-10
    ActiveX Exe, 9-10
    as component model, 38-5, 44-5-44-6, 44-8
    component type choice, 39-12
    Internet server components, 39-1-39-14
    registering, 39-11
    Adaptive Server, 31-6
    ADO. See Active data objects
    ADT (abstract data types), 68-5
    Advanced Traveler Information System (ATIS), 51-2-51-3
    Agents, 42-16, 52-5
    Aggregation, 13-9, 21-10
    Ahad, Rafiul, 23-6
    AI (artificial intelligence), 35-1, 35-8, 35-16, 69-7-69-8
    Alternative workplaces, 77-1-77-2
    ANSI XI2, 78-2-78-3, 78-7
    Applet Window Technology (AWT), 58-6
    Application Program Interface (API), 32-6, 44-7, 58-6
    Applications
    architecture, 9-4-9-7, 25-5-25-9, 28-10-28-11
    compound document, 46-4-46-5
    data replicatio...

    Table of contents

    1. Cover
    2. Copyright Page
    3. Contributors
    4. Contents
    5. Introduction
    6. Section I Data Development Methodologies, Definitions, and Strategy
    7. Section II Data Models and Modeling Techniques
    8. Section III Data Integrity and Quality
    9. Section IV Data Administration, Security, and Operations
    10. Section V Data Migration, Conversion, and Legacy Applications
    11. Section VI Database Servers and Universal Servers
    12. Section VII Object Technology, Object Modeling, and Object Databases
    13. Section VIII Distributed Databases, Portability, and Interoperability
    14. Section IX Data Replication
    15. Section X Data and the Internet, Intranet, and the World Wide Web
    16. Section XI Data Warehousing, Decision Support, and Olap
    17. Section XII Data Mining
    18. Section XIII Document Management
    19. Section XIV Industry-Specific and Package Solutions
    20. Section XV Emerging Practices and Directions
    21. About the Consulting Editor
    22. Index