BCA in Database Management at Amity University Patna - Course, Fees, Admission, Seats, Syllabus

The BCA program at Amity University Patina, similar to other institutions covers a wide range of subjects in computer science and information technology. In the context of Database Management, which's an important subject for BCA students the curriculum aims to provide a thorough understanding of database systems, including their design, implementation and management. Although the specific syllabus may vary slightly from year to year the following topics are generally considered significant for BCA students studying Database Management at Amity University Patna or similar institutions; 1. **Introduction, to Database Systems**; Overview of database systems Importance and necessity of databases Architecture of database systems Data models 2. **Database Design**; Entity Relationship (ER) model ER diagrams Normalization (1NF, 2NF 3NF, BCNF) Process of database design 3. **SQL (Structured Query Language)**; Basics of SQL DDL (Data Definition Language) commands DML (Data Manipulation Language) commands DCL (Data Control Language) commands Features of SQL (triggers, stored procedures views) 4....[remaining text not provided]Here is a breakdown of the topics covered in this course; 1. Relational Database Management Systems (RDBMS); We will learn about the principles of relational databases. Keys and indexes which are components in organizing data will be discussed. Understanding integrity constraints that help maintain data accuracy and consistency. Transaction management and concurrency control to ensure data integrity during operations. 5. NoSQL Databases; An introduction to NoSQL databases, which offer approaches to storing and retrieving data. We will explore types of NoSQL databases such as document based key value pairs, wide column stores and graph databases. Learn when it is appropriate to use NoSQL over RDBMS for specific use cases. 6. Data Warehousing and Data Mining; Basics of data warehousing including the concept of storing volumes of historical data for analytical purposes. Understand the difference between OLAP (Online Analytical Processing) used for decision support systems and OLTP (Online Transaction Processing) used for day to day transactional systems. Introduction to data mining techniques that extract insights from large datasets. 7. Database Security; Explore database. Understand various security measures to protect sensitive information stored within databases. Learn about encryption and decryption techniques used to secure data at rest or during transmission. Access control mechanisms that regulate user privileges within a database system. 8. Emerging Trends and Technologies; Cloud databases that offer flexible storage options with scalability benefits in a cloud computing environment. Big Data technologies that handle volumes of structured or unstructured data for analysis purposes. Database as a Service (DBaaS) models where database management is outsourced to service providers reducing overheads for organizations . The impact of Internet of Things (IoT), on database management. How connected devices generate vast amounts of data. 9. Practical Database Management; Learn about the tasks involved in database administration. Performance tuning and optimization techniques to enhance database efficiency and responsiveness.