Kickstart Database Management System Fundamentals

From Concept to Implementation: Mastering Database DesignKey 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 DescriptionIn 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 Contents1. Introduction to Database Systems2. Data Modeling and Design3. Relational Database Management Systems4. Query Optimization5. Database Normalization and Normal Forms6. Transaction Management and Concurrency Control7. Data Warehousing and Business Intelligence8. Distributed Databases and NoSQL9. Data Security and Privacy10. Database Administration and Cloud ServicesIndexAbout the AuthorsDr. 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.