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Modern Database Management, 14th edition

Published by Pearson (February 11, 2025) © 2026

  • Jeff Hoffer
  • Heikki Topi Bentley University
  • Ramesh Venkataraman Indiana University
  • Hillol Bala Indiana University
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Buy nowOpens in a new tab

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.
$59.94
monthly payments or
pay undefined one-time
Instant access

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

Modern Database Management offers a comprehensive introduction to the latest in database development. Using sound pedagogy, the authors present topics critical to the practical success of database professionals. Focused on the most important aspects of database development according to leading practitioners, the text serves as a practical guide to the field.

The 14th Edition has been thoroughly updated to reflect major trends, including new coverage of the full data to analysis process, data management infrastructure developments, SQL analytical capabilities, new cloud-based solutions, AI and more. New State of AI sections cover the impact of AI tools and the implications for database management.

Table of contents

Part 1. The Context of Database Management

  1. The Database Environment and Development Process

Part 2. Database Analysis and Logical Design

  1. Modeling Data in the Organization
  2. The Enhanced E-R Model
  3. Logical Database Design and the Relational Model

Part 3. Database Implementation and Use

  1. Introduction to SQL
  2. Advanced SQL
  3. Databases in Applications
  4. Physical Database Design and Database Infrastructure

Part 4. Advanced Database Topics

  1. Big Data Technologies
  2. Modern Data Platforms: Integration, Warehousing and Virtualization
  3. Analytics: From Data to Insights
  4. Data and Database Administration with Focus on Data Quality
  5. Object-Oriented Data Modeling

APPENDICES

  1. Data Modeling Tools and Notation
  2. Advanced Normal Forms
  3. Data Structures

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