BCA in Database Management at Global Institute of Technology and Management - Course, Fees, Admission, Seats, Syllabus

Given the constraints of the request and the lack of specific, up-to-date data on the Global Institute of Technology and Management's BCA in Database Management program, I'll provide a generic HTML table structure. Please replace the placeholders with the actual data when available.

Feature	Detail
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs. XXXXXX
Mode of Study	Full-time
Institute Type	Private

Please replace XXXXXX with the actual tuition fees for the program. Note that the details like course duration, level, mode of study, and institute type are based on common characteristics for such programs but should be verified for accuracy.

The Bachelor of Computer Applications (BCA) program at the Global Institute of Technology and Management like other similar programs aims to provide a strong foundation in computer applications with a specific focus on database management. While the curriculum may vary each year there are core subjects that are generally considered important in studying database management within a BCA program. Here is a list of topics likely to be covered; 1. **Introduction to Database Systems**; Exploring the overview, significance and applications of database systems. Understanding the development and evolution of database systems. Examining the architecture and components of a database system. 2. **Database Design**; Learning about data modeling using the entity relationship model. Exploring advanced models like entity relationship and UML models. Understanding techniques for normalization and denormalization. Discovering strategies and methodologies for effective database design. 3. **SQL and Query Languages**; Getting familiar with SQL basics, including DDL (Data Definition Language) DML (Data Manipulation Language) and DCL (Data Control Language) commands. Exploring SQL concepts like queries, subqueries, joins, views, indexes and stored procedures. Introducing extensions such as PL/SQL or similar languages. 4. **Relational Database Management Systems (RDBMS)**; Understanding the principles behind databases. Examining keys, constraints and relationships within databases. Learning about transaction management and concurrency control techniques. Exploring methods, for database recovery. 5....[The rest of the text has been omitted for brevity]In this section we will cover the topic of NoSQL databases and their differences compared to relational databases. We'll explore types of NoSQL databases, including document, key value wide column and graph databases. Additionally we'll examine use cases for NoSQL and discuss how it differs from SQL. Moving on to data warehousing and data mining we'll start with the basics of data warehousing and its underlying architecture. Then we'll dive into the concepts, methodologies and applications of data mining. We'll also explore OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) in this context. Up is database security and privacy. We'll explore the requirements for securing a database against threats. Topics such as data encryption and secure database design will be discussed in detail. Furthermore we'll touch upon privacy issues related to databases and relevant data protection laws. Shifting our focus towards emerging trends in database management we will delve into data analytics and its impact on managing databases effectively. Additionally we'll explore advancements such as cloud databases and Database as a Service (DBaaS). Finally we will introduce the integration of machine learning with databases. In our practical database management section we will cover aspects of database administration along, with performance tuning and optimization techniques. To enhance your understanding further you will have hands on projects involving designing implementing aspects of database management.