SQL Mastery Series for AI, Data Science & Modern Computing: Volume 3: Relational Database Design and Normalization Through Story - Couverture souple

Amarasena, Dr. Uthayasooriya

Couverture souple

ISBN 13 : 9798185585078

Editeur : Independently published, 2026

Synopsis

Volume 3 represents a transformative stage in the learner’s journey. It shifts the focus from simply writing SQL queries to thinking structurally and architecturally about databases. By the end of this volume, learners evolve into professionals capable of designing scalable, organized, and efficient relational database systems that serve as the backbone of modern software engineering, analytics, and Artificial Intelligence applications.
This book emphasizes a story-driven teaching philosophy, where abstract concepts are explained through relatable narratives and analogies. Learners are guided step by step through the database design workflow, beginning with entity recognition and relationship modeling, progressing into ER diagram creation, and culminating in normalization techniques that eliminate redundancy and anomalies. Each chapter reinforces understanding with mnemonics for memory retention and real-world case studies drawn from hospitals, universities, banking, and e-commerce systems.
The volume highlights the importance of constraints and integrity testing, ensuring that databases are not only functional but also reliable and trustworthy. By mastering primary keys, foreign keys, and rules such as NOT NULL, UNIQUE, and CHECK, learners gain the ability to enforce consistency across complex systems. Furthermore, indexing and optimization strategies are introduced to prepare learners for handling large-scale datasets and high-concurrency environments.
A distinctive feature of this volume is its orientation toward AI and analytics readiness. Learners are taught to design databases that produce clean, structured, and integrated datasets suitable for machine learning pipelines, dashboards, and predictive models. This bridges the gap between traditional database design and modern data-driven applications, making the skills acquired directly relevant to cutting-edge technologies.
By the conclusion of Volume 3, learners will be able to:

• Design professional relational databases across multiple domains.
• Implement relationships with confidence and precision.
• Create ER diagrams as clear blueprints for system design.
• Apply normalization to prevent redundancy and inconsistency.
• Build scalable architectures ready for enterprise use.
• Prepare structured datasets for AI and analytics systems.

In essence, Volume 3 equips learners with the intellectual tools to move from query execution to database design mastery. It lays the foundation for Volume 4, where the focus will shift toward advanced SQL querying, optimization, and real-world analytics.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798185585078
• Reliure: Broché
• Nombre de pages: 450
• Coordonnées du fabricant: Printed by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg