Handbook of Data Management 1999 Edition
eBook - ePub

Handbook of Data Management 1999 Edition

  1. 1,064 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Data Management 1999 Edition

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Table of contents
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About This Book

Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of dat

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Yes, you can access Handbook of Data Management 1999 Edition 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.

Information

Year
2021
ISBN
9781000083217
Edition
3

INDEX

  • Asset management tools, 245
  • ASSOCIATE LOCATORS statement, 377
  • Associated discovery, 790
  • Association rule mining, 824
  • ATIS, see Advanced Traveler Information System
  • Atomic data, 324, 325, 732
  • Attribute(s)
    • IDENTITY, 214
    • multiple values of, 132
    • normalized, 136
    • salary, 138
    • unique name of, 131
    • value, 18
  • Attribute referential integrity (ARI), 225, 227
    • constraint, 229
    • formal definition of, 228
  • Audit
    • logging, 313
    • programs, 359
    • records, 364
    • reports, 351, 355
    • trails, 339
  • Automated banking machines (ABM), 9876
  • Automatic speech recognition (ASR), 114, 121
  • Autonomy, types of, 598

B

  • Backbone switch, 553
  • Backup(s)
    • accuracy of, 260
    • incremental, 262
    • mechanisms, degraded, 257
    • schedules, 261
    • stream, generic, 262
  • Bad data, 206
  • Batch routines, 442, 445
  • Batch SQL jobs, creating effective, 433
    • general principles, 445
      • affecting other batch jobs, 447
      • consistency, 445
      • diagnostics, 445
    • SQL coding principles, 434
      • data all in row, 442
      • declarations and initializations, 437
      • indexes, 440
      • joins, 434
      • read once, write once, 437
      • transaction commitments, 440
  • Batch window squeeze, 436
  • BBBOnline, 303
  • BCNF, see Boyce-Codd normal form
  • BeanBox, 519, 522
  • Bean-building, 516
  • BeanInfo class, 521
  • Benchmarks, 462, 463
  • Binary large objects (BLOBs), 266, 938
  • Binary objects, 46
  • Bit-map indexing, 455
  • Black box
    • accessibility, 496
    • functionality, 498
  • BLOBs, see Binary large objects
  • BMC Software Inc., 556, 559
  • Boolean logic, 461
  • Boyce-Codd normal form (BCNF), 21, 22
  • Branch-office computing, 567
  • Brand-licensing, 946
  • Browser
    • access logs, 312
    • software, 310, 704
  • B...

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contributors
  6. Table of Contents
  7. Introduction
  8. Section I Data Development Methodologies, Definitions, and Strategy
  9. Section II Data Models and Modeling Techniques
  10. Section III Data Integrity and Quality
  11. Section IV Data Administration, Security, and Operations
  12. Section V Data Migration, Conversion, and Legacy Applications
  13. Section VI Database Servers and Universal Server Technology
  14. Section VII Object Technology, Object Modeling, and Object Databases
  15. Section VIII Distributed Databases, Portability, and Interoperabi1ity
  16. Section IX Data Replication
  17. Section X Data and the Internet, Intranets, and the Web
  18. Section XI Data Warehousing, Decision Support, and OLAP
  19. Section XII Data Mining
  20. Section XIII Document Management
  21. Section XIV Indus try Specific and Package Solutions
  22. Section XV Linux Fundamentals
  23. About the Consulting Editor
  24. Index