From Concept to Implementation: Mastering Database Design
Key Features
? Covers core concepts, types, architecture, and models for effective data modeling and schema design.
? Clear, hands-on SQL examples to enhance understanding and real-world application.
? Insights into NoSQL, cloud databases, data warehousing, and security best practices.
Book Description
In today's data-driven world, effective database management is essential for harnessing the full potential of raw information. A strong foundation in DBMS can set professionals apart in their roles, making them invaluable in maintaining and optimizing data systems. [Kickstart Database Management System Fundamentals] bridges the gap between database theory and practical application, empowering readers with the skills needed to design, build, and manage reliable database systems.
The book provides an overview of key database concepts such as data modeling, normalization, and relational principles. It also delves into advanced topics like data integrity, query optimization, transaction management, and indexing. Each chapter features practical examples, case studies, and hands-on activities to reinforce learning and ensure readers can apply their knowledge effectively.
By the end of this book, readers will grasp essential best practices for database design and management. They will be equipped to create scalable, secure database solutions, ensure data consistency, and enhance performance. Whether you are a student, educator, or professional, this book prepares you to tackle real-world database challenges with confidence.
What you will learn
? Understand database concepts, types, and their role in computing, and translate business needs into database structures.
? Explore RDBMS principles, including relational models, tables, and keys in real-world applications.
? Master SQL querying, optimization, and complex joins for improved performance.
? Apply normalization techniques to ensure data integrity and eliminate redundancy.
? Learn distributed database architecture and NoSQL solutions for handling large-scale data.
? Implement data security practices, encryption, and compliance with privacy laws.
? Discover best practices in database administration and cloud-based management.
Table of Contents
1. Introduction to Database Systems
2. Data Modeling and Design
3. Relational Database Management Systems
4. Query Optimization
5. Database Normalization and Normal Forms
6. Transaction Management and Concurrency Control
7. Data Warehousing and Business Intelligence
8. Distributed Databases and NoSQL
9. Data Security and Privacy
10. Database Administration and Cloud Services
Index
About the Authors
Dr. Jagdish Chandra Patni is a Professor at the Alliance School of Advanced Computing, Alliance University, Bengaluru, India. His research interests include Artificial Intelligence, Database Systems and Optimizations, Machine Learning, Deep Learning, High- Performance Computing, and Software Engineering. Before joining Alliance University, he held positions at Symbiosis International University, Pune, Jain University, Bengaluru, and the University of Petroleum and Energy Studies, Dehradun.
Dr. Latika Pinjarkar obtained her PhD in Computer Science and Engineering from CSVTU, Chhattisgarh, India, in 2019. She completed her M.Tech in Computer Technology and Application from CSVTU, Chhattisgarh, India, in 2008, and her BE in Computer Technology from Nagpur University, Maharashtra, in 1999.
