SQL Database Mastery: Relational Architectures, Optimization Techniques,and Cloud-Based Applications
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https://doi.org/10.70593/978-93-7185-191-6
Keywords:
Relational Database Management Systems (RDBMS), SQL Query Optimization, Database Normalization, Cloud SQL Architectures, ACID Properties, Common Table Expressions (CTEs), Dynamic SQLSynopsis
SQL remains at the core of modern data management, powering mission-critical systems across industries. This book, SQL Database Mastery: Architecture, Optimization, and Real-World Applications, bridges foundational concepts with advanced techniques to help readers design, optimize, and manage relational databases effectively.
Drawing from years of practical experience in marine IT and enterprise systems, this book combines technical depth with hands-on relevance. Topics range from relational theory, indexing, and normalization to cloud SQL platforms, dynamic queries, and performance tuning. Real-world use cases and best practices are included to ensure practical application of each concept.
Whether you're a student, developer, or database architect, this guide aims to support your journey toward mastering SQL in today’s data-driven world.
I am grateful to my peers in the field of Marine IT Technology and AI-based data systems who have inspired and supported the development of this book. I hope it serves as a valuable guide in your journey toward mastering the architecture and optimization of relational databases in an era where data is more critical than ever.
Chapters
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Architectures in relational databases: An analytical study of SQL-based data models and ACID principles
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SQL query design and optimization: A study of joins, window functions, and recursive constructs
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Performance tuning in SQL server environments: Execution plans, index strategies, and resource cost estimation
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SQL security and regulatory compliance: Implementation of RBAC and audit logs
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ETL pipelines and SQL database management
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SQL competency development for technical interviews: A framework for query practice, mock testing, and portfolio building
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Published
27 July 2025
Copyright (c) 2025 Mohanraju Muppala
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-7185-191-6
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-7185-314-9
How to Cite
Muppala, M. . (2025). SQL Database Mastery: Relational Architectures, Optimization Techniques,and Cloud-Based Applications. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-191-6
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