Modern Database Management, 14th edition

For courses in Database Management.

A comprehensive overview of the latest in database development

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.

Hallmark features of this title

Current industry trends and best practices

• Up-to-date coverage is ensured by the authors' partnership with Data Management Association (DAMA), the Data Warehousing Institute (TDWI), and leading consultants and authors.

Streamlined and flexible

• A modular organization lets instructors choose which topics to emphasize and teach in the order they prefer.
• The flexible design of chapter introductions and summaries allows instructors to easily access and use these features to support their chosen course objectives.
• End-of-chapter Problems and Exercises and hands-on Field Exercises challenge students to put concepts into action.
• An ongoing case study enables students to gain hands-on experience with the concepts and tools they’re studying.

New and updated features of this title

• UPDATED: In addition to changes throughout to bring content up to date, Chapters 9 through 11 have been restructured to better reflect recent data management infrastructure developments, the essential role of data integration in its different forms, and the close connection between analytics and modern data management.
  • Chapter 9, Big Data Technologies, provides a foundation for the subsequent coverage of data platforms and analytics.
  • Chapter 10, Modern Data Platforms, has been reframed to focus on data integration rather than data warehousing. This chapter addresses data integration from 3 perspectives: data consolidation, data federation and data propagation.
  • Chapter 11, Analytics: From Data to Insights, has been substantially expanded, with coverage of topics such as the analytics process, operational analytics and the end-to-end process of data to analysis
• UPDATED: Chapter 6 offers significantly expanded material on the analytical capabilities of SQL, with detailed examples, to help students acquire essential SQL skills. Additional topics receiving fresh coverage include cloud-based database solutions in Chapters 7 and 9 and data governance in Chapter 12.
• NEW: State of AI sections in applicable chapters cover the impact of AI tools and the implications for database management.