Kickstart Database Management System Fundamentals

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.

Who is this book for?
This book is tailored for undergraduate engineering students of BE/BTech/BCA/MCA studying database systems as part of their core curriculum. It also serves as a valuable resource for professionals and researchers working in the field of database systems, offering insights relevant to both academic and industry applications.

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

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. He has authored over 100 research articles published in nationally and internationally recognized journals and conferences of repute, as well as 8 books and more than 12 book chapters with international publishers.

Dr. Patni is an active Guest Editor and Reviewer for various peer-reviewed international journals, serving as a reviewer for over 20 reputable international journals. He has delivered keynote and guest speeches in India and abroad, and has organized multiple conferences/seminars/workshops/Faculty Development Programs (FDPs) globally. He has been awarded the Eminent Engineers Award, Outstanding Performance Award, Guru Siromani Award, Professor of the Year, Researcher Excellence Award, Young Scientist Award, Teacher of the Year, and Best Paper Award by Hosei University, Tokyo, Japan. He is a Fellow Member of the Institution of Engineers (India), a Senior member of IEEE, and a member of ACM, MIE, IEANG, IACSIT, and Vigyan Bharti.

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. With over 22 years of experience in research and teaching, she is currently an Associate Professor and Academic Head in the CSE Department at Symbiosis Institute of Technology, Nagpur, part of Symbiosis International (Deemed University) Pune, Maharashtra, India.

Latika has presented more than 40 papers in international and national journals, and conferences, with 5 patents to her credit. She has also completed a research project sponsored by TEQIP-III. Her research interests include Image Processing, Computer Vision, Content-Based Image Retrieval (CBIR), and Machine Learning.

ABOUT TECHNICAL REVIEWER

Sachin Gupta has over 15 years of experience in the IT Industry. He has a proven track record of innovation and a commitment to driving technological advancements. He has successfully led multi-million-dollar projects and managed global teams, consistently delivering high-quality solutions in Database, Security, and Cloud technology. He is a member of various prestigious organizations, including IEEE (Senior Member), Sigma XI (Full Member), and IETE (Fellow Member). He has authored numerous scholarly articles in the field of Database and Cloud Computing.