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    1. Data och IT
    2. Databaser

    Data Modeling, A Beginner's Guide

    AvAndy Oppel

    Häftad, Engelska, 2010

    616 kr

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    Beskrivning

    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

    Essential Skills--Made Easy!

    Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor.

    Designed for Easy Learning

    • Key Skills & Concepts--Chapter-opening lists of specific skills covered in the chapter
    • Ask the expert--Q&A sections filled with bonus information and helpful tips
    • Try This--Hands-on exercises that show you how to apply your skills
    • Notes--Extra information related to the topic being covered
    • Self Tests--Chapter-ending quizzes to test your knowledge

    Andy Oppel has taught database technology for the University of California Extension for more than 25 years. He is the author of Databases Demystified, SQL Demystified, and Databases: A Beginner's Guide, and the co-author of SQL: A Beginner's Guide, Third Edition, and SQL: The Complete Reference, Third Edition.

    Produktinformation

    • Utgivningsdatum:2010-02-16
    • Mått:188 x 233 x 21 mm
    • Vikt:587 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:368
    • Förlag:McGraw-Hill Education
    • ISBN:9780071623988

    Utforska kategorier

    • Databaser inom Data och IT

    Mer om författaren

    Andrew J. (Andy) Oppel is a proud graduate of The Boys’ Latin School of Maryland and of Transylvania University (Lexington, KY) where he earned a BA in computer science in 1974. Since then he has been continuously employed in a wide variety of information technology positions, including programmer, programmer/analyst, systems architect, project manager, senior database administrator, database group manager, consultant, database designer, and data architect. In addition, he has been a part-time instructor with the University of California (Berkeley) Extension for over 20 years, and received the Honored Instructor Award for the year 2000. His teaching work included developing three courses for UC Extension, “Concepts of Database Management Systems”, “Introduction to Relational Database Management Systems”, and "Data Modeling and Database Design." He also earned his Oracle 9i Database Associate certification in 2003. He is currently employed as a senior data modeler for Blue Shield of California. Aside from computer systems, Andy enjoys music (guitar and vocals), amateur radio (Pacific Division Vice Director, American Radio Relay League) and soccer (Referee Instructor, U.S. Soccer). Andy has designed and implemented hundreds of databases for a wide range of applications, including medical research, banking, insurance, apparel manufacturing, telecommunications, wireless communications, and human resources. He is the author of Databases Demystified (McGraw-Hill/Osborne, 2004) and SQL Demystified (McGraw-Hill/Osborne, 2005). His database product experience includes IMS, DB2, Sybase, Microsoft SQL Server, Microsoft Access, MySQL, and Oracle (versions 7, 8, 8i, 9i, and 10g).

    Innehållsförteckning

    • Part I: Data Modeling Concepts; Chapter 1. Introduction to Data Modeling; Chapter 2. Relational Database Components; Chapter 3. Data and Process Modeling; Chapter 4. Organizing Database Project Work; Part II: Data Modeling Details; Chapter 5. Conceptual Data Modeling; Chapter 6. Logical Database Design Using Normalization; Chapter 7. Beyond Third Normal Form; Chapter 8. Physical Database Design; Part III: Design Alternatives; Chapter 9. Alternatives for Incorporating Business Rules; Chapter 10. Alternatives for Handling Temporal Data; Chapter 11. Modeling for Analytical Databases; Chapter 12. Enterprise Data Modeling; Part IV: Appendixes; Appendix A. Answers to Self Tests; Appendix B. Solutions to Try This Exercises; Index