BCA in Database Management at Mahatma Gandhi University Meghalaya - Course, Fees, Admission, Seats, Syllabus

As of my update in 2023 course syllabi at Mahatma Gandhi University, Meghalaya or any other institution may vary over time due to curriculum updates and the decisions made by the university and its faculty. However I can provide you with an overview of the main topics typically covered in a Database Management course, for a Bachelor of Computer Applications (BCA) program. This outline should give you a foundation but its important to consult your universitys specific syllabus for the most accurate and detailed information. SQL (Structured Query Language) is a programming language commonly used for managing databases. It covers the basics of SQL, such as DDL (Data Definition Language) DML (Data Manipulation Language) and DCL (Data Control Language) commands. You'll learn how to create, modify and delete tables well as understand keys and constraints. SQL queries like SELECT, INSERT, UPDATE and DELETE will be covered in detail. Additionally you'll explore topics like joins, views, indexes, stored procedures, triggers and other advanced features of SQL. In the section on Transaction Management and Concurrency Control you'll delve into ACID properties that ensure reliable database operations. You'll also learn about transaction states and how to control them effectively. The course covers techniques for managing concurrency control such as locking mechanisms timestamping methods and optimistic approaches. Additionally you'll gain knowledge on handling deadlocks The course also discusses Database Recovery Techniques including types of failures that can occur in a database environment.The recovery concepts and strategies for dealing with these failures are explained thoroughly.Furthermore the importance of plans is emphasized to ensure data integrity. Next you will explore Distributed Databases and Big Data concepts.In this section you will understand the fundamentals of distributed databases along with their advantages and disadvantages.Additionally Big Data concepts like volume,Variety,Velocity,Variability and Veracity are introduced.You will also get an overview of NoSQL databases along with guidelines on when they should be used. Data Security and Privacy is another aspect covered in this course.You will learn about security issues that affect databases.Authorization techniques for granting access to data along with authentication methods are discussed.Data encryption techniques are also explored to ensure data transmission.Finally the course touches upon privacy concerns related to data protection laws. Lastly the course concludes by discussing Emerging Trends and Technologies in the field of database management.Cloud databases are introduced along with the concept of Database as a Service (DBaaS).Data warehousing and data mining are explored as tools for obtaining insights from large datasets.Machine learning and AI in database management are also discussed to understand their impact on the field.Moreover the potential of technology in enhancing database security is introduced. Overall this course covers a range of topics related to SQL, transaction management, database recovery techniques, distributed databases, data security and privacy as well as emerging trends and technologies in the field. It will provide you with a foundation, for working with databases effectively.