Modern Database Management, Global Edition

Series
Pearson
Author
Jeff Hoffer / Ramesh Venkataraman / Heikki Topi  
Publisher
Pearson
Cover
Softcover
Edition
13
Language
English
Total pages
592
Pub.-date
August 2019
ISBN13
9781292263359
ISBN
1292263350
Related Titles



Description

For courses in database management.

 

A comprehensive text on the latest in database development

Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and topics that are critical for the practical success of database professionals. The 13th Edition updates and expands materials in areas undergoing rapid change as a result of improved managerial practices, database design tools and methodologies, and database technology – such as application security, multi-user solutions, and more – to reflect major trends in the field and the skills required of modern information systems graduates.

Features

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

 

Keeps current with industry trends and best practices

  • New - This edition has been updated and revised throughout to keep pace with changes in the field. Among the updates, you'll find content on:
    • big data technologies (Chapter 10)
    • analytics (Chapter 11)
    • transaction integrity, designing multi-user solutions, and application level security (Chapter 7).
  • The authors work with Data Management Association (DAMA) and The Data Warehousing Institute (TDWI) – as well as leading consultants and authors of widely read professional publications – to ensure the content is relevant and appropriate to provide strong foundational knowledge, and teach with a mindset for long-term career success.

 

Presents material in a streamlined way with widely accessible pedagogical features

  • New - A new overarching framework gives readers a clearer overview of core topic areas and communicates the increasing importance of informational systems, in addition to the text’s traditional strength of transactional systems.
  • A modular organization allows instructors to teach the course in the order they prefer and emphasize topics to their preferences. For example, those who want to cover SQL early can cover Chapters 5 & 6 right after Chapter 1, and will be supported by continual SQL examples throughout the text.
  • The text is organized with chapter introductions and summaries to accommodate structural flexibility, allowing instructors to create a personalized teaching sequence based on the needs of the course.
  • In addition to these useful chapter introductions and summaries to aid students in their studying, there are ample opportunities to put the concepts into action in the end-of- chapter Problems and Exercises, hands-on Field Exercises, and an in-depth running Case.
  • Customized short videos address key concepts and skills from different sections of the book, helping students learn potentially difficult material in a format that speaks to visual learners.

 

New to this Edition

Keeps current with industry trends and best practices

  • This edition has been updated and revised throughout to keep pace with changes in the field. Among the updates, you'll find content on:
    • big data technologies (Chapter 10)
    • analytics (Chapter 11)
    • transaction integrity, designing multi-user solutions, and application level security (Chapter 7).

 

Presents material in a streamlined way with widely accessible pedagogical features

  • A new overarching framework gives readers a clearer overview of core topic areas and communicates the increasing importance of informational systems, in addition to the text’s traditional strength of transactional systems.

 

Table of Contents

I. The Context of Database Management

1. The Database Environment and Development Process

 

II. Database Analysis and Logical Design

2. Modeling Data in the Organization

3. The Enhanced E-R Model

4. Logical Database Design and the Relational Model

 

III. Database Implementation and Use

5. Introduction to SQL

6. Advanced SQL

7. Databases in Applications

8. Physical Database Design and Database Infrastructure

 

IV. Advanced Database Topics

9. Data Warehousing and Data Integration

10. Big Data Technologies

11. Analytics and Its Implications

12. Data and Database Administration with Focus on Data Quality

 

Online Chapters

13. Distributed Databases

14. Object-Oriented Data Modeling

Appendix A. Data Modeling Tools and Notation

Appendix B. Advanced Normal Forms

Appendix C. Data Structures