Data and Database Modernization
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ISBN: 9788167080806
eISBN: 9788167080813
Author: Dr. Hassan Afyouni
Rights: Worldwide
Edition: 2027
Pages: 462
Dimension: 7.5*9.25 Inches
Book Type: Paperback
- Description
- Table of Contents
- About the Authors
Modern data and database environments are increasingly distributed across legacy systems, cloud platforms, virtualized infrastructure, and various database technologies. Modernization is no longer a one-time migration project; it is a continuous discipline for improving database performance, data quality, scalability, reliability, governance, recoverability, and business continuity.
This book presents a vendor-neutral framework for modernizing data assets alongside database environments through four connected pillars: classification, consolidation, backup, and migration. It details data and database lifecycles, data classification, database workload classification, metadata management, consolidation architecture, backup and recovery design, archival strategies, migration planning and execution, and post-migration optimization.
By the end of this book, readers will learn how to assess legacy data and database estates, classify data and workloads, select suitable consolidation and migration strategies, design reliable backup and recovery frameworks, manage risk and downtime, validate data integrity, optimize database performance, and build modern environments that remain efficient, resilient, scalable, and ready for future change.
WHAT YOU WILL LEARN
● Assess legacy data and database environments; set modernization priorities.
● Classify data, database workloads, metadata, systems, and dependencies.
● Design resilient consolidation, backup, recovery, and continuity strategies.
● Plan and execute controlled data and database migrations confidently.
● Implement storage tiering, data aging, and metadata index retrieval.
● Optimize migrated databases for performance, cost, governance, and reliability.
WHO THIS BOOK IS FOR
This book is for database administrators, data engineers, data architects, cloud architects, system administrators, IT strategists, consultants, and upper-level computing students. Readers should possess an intermediate understanding of database systems, data modeling, infrastructure concepts, and core data management principles.
1. Introduction to Modern Data and Database Environments
2. Understanding the Data and Database Lifecycles
3. Data Classification Fundamentals
4. Database Classification and Metadata Management
5. Principles of Data and Database Consolidation
6. Designing and Executing Consolidation Projects
7. Fundamentals of Backup Strategy
8. Designing Backup Architectures and Recovery Frameworks
9. Data Archival and Lifecycle Extension
10. Fundamentals of Data and Database Migration
11. Executing Migration Projects
12. Post-migration Optimization and Reintegration
Dr. Hassan Afyouni is an accomplished IT executive, enterprise architect, consultant, educator, and author with more than three decades of experience in information technology. His work spans database systems, data architecture, software engineering, infrastructure modernization, enterprise transformation, and technology leadership across corporate, government, consulting, and academic environments.
Throughout his career, Dr. Afyouni has guided large-scale modernization initiatives, technology integration programs, and strategic IT projects. He combines technical depth with an architectural and business perspective, translating complex technology challenges into practical frameworks that support reliability, efficiency, scalability, governance, and long-term value.
Dr. Afyouni has authored several technology textbooks, including Advanced Database Security, Structured Programming Approach in C, Guide to SQL, High Performance SQL Server Data Warehousing, Database Security and Auditing, and Oracle8i Performance and Tuning. His writing and teaching reflect an integrated approach that connects academic rigor, enterprise strategy, and real-world implementation experience.