Curriculum

13 Chapters · 13 Lessons

  1. 1

    Book Preview

    1. Kickstart Database Management System Fundamentals Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Database Systems

    1. (Included in full purchase)

      Introduction to Database Systems

  4. 4

    Chapter 2 : Data Modeling and Design

    1. (Included in full purchase)

      Data Modeling and Design

  5. 5

    Chapter 3 : Relational Database Management Systems

    1. (Included in full purchase)

      Relational Database Management Systems

  6. 6

    Chapter 4 : Query Optimization

    1. (Included in full purchase)

      Query Optimization

  7. 7

    Chapter 5 : Database Normalization and Normal Forms

    1. (Included in full purchase)

      Database Normalization and Normal Forms

  8. 8

    Chapter 6 : Transaction Management and Concurrency Control

    1. (Included in full purchase)

      Transaction Management and Concurrency Control

  9. 9

    Chapter 7 : Data Warehousing and Business Intelligence

    1. (Included in full purchase)

      Data Warehousing and Business Intelligence

  10. 10

    Chapter 8 : Distributed Databases and NoSQL

    1. (Included in full purchase)

      Distributed Databases and NoSQL

  11. 11

    Chapter 9 : Data Security and Privacy

    1. (Included in full purchase)

      Data Security and Privacy

  12. 12

    Chapter 10 : Database Administration and Cloud Services

    1. (Included in full purchase)

      Database Administration and Cloud Services

  13. 13

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

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.

About the Author

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.