CITATION

Oppel, Andrew. Databases Demystified. McGraw-Hill Osborne Media, 2004.

Databases Demystified

Authors:

Published:  February 2004

eISBN: 9780071469609 0071469605 | ISBN: 9780072253641

Book description:

Through clear language, step-by-step discussions, and quizzes at the end of each chapter, the author makes databases easy. Quickly learn the core skills needed to design, configure, manage, and manipulate databases, whether at work or at home. Topics such as exploring different database models, planning their design, minimizing redundant data, designing tables, applying database design concepts, and implementing database security are covered. This is that fast, easy-to-understand tutorial that you’ve been looking for.

The fast and easy way to understanding the fundamentals of databases

If you’re tired of wading through huge technical manuals that drown you in jargon, making it difficult to decipher database fundamentals, help has finally arrived. Databases Demystified is user-friendly, engaging, easy to follow, and designed for the non-expert wanting to quickly learn the ins and outs of databases and immediately apply concepts learned.

Its step-by-step approach and detailed explanations of database design make this a comprehensive resource covering all the tools you need to build and manage your database. Learn how to form database queries using Microsoft Access and SQL, explore methods for connecting a database to applications, and discover how to store your historical data for analyses. From logical data design using normalization to database security and data warehousing, Databases Demystified gets your database up and running in no time.

Simple enough for a beginner, but challenging enough for an advanced student, Databases Demystified is your shortcut to mastering databases.

This one-of-a kind self-teaching text offers:

  • An easy way to understand databases

  • A quiz at the end of each chapter

  • A final exam at the end of the book

  • No unnecessary technical jargon

  • A time-saving approach