MCA DCA8142 OPEN SOURCE DB SYSTEMS

Description

SESSION	APRIL 2025
PROGRAM	MASTER OF COMPUTER APPLICATIONS (MCA)
SEMESTER	III
COURSE CODE & NAME	DCA8142 OPEN SOURCE DATABASE SYSTEMS

 

 

Set-I

 

 

Q1. Explain the fundamental concepts of a database system and discuss the essential components that make up a typical database management system (DBMS). 5+5      

Ans 1.

Database System

A database system refers to the integration of a database and a database management system (DBMS). A database is an organized collection of data that can be easily accessed, managed, and updated. The DBMS is the software tool that interacts with end users and applications to capture and analyze data. This system ensures that data remains consistent, secure, and efficiently accessible. The key goal of using a database system is to avoid redundancy, enhance data integrity, support multi-user access,

 

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Q2. Define open-source software development and discuss its advantages and disadvantages compared to proprietary software development. 5+5     

Ans 2.

Open-Source Software Development

Open-source software development is a collaborative approach where the source code of the software is made publicly available. This allows anyone to view, modify, distribute, or enhance the software. Open-source development is based on principles of transparency, community contribution, and shared ownership. It often follows a decentralized model in which multiple contributors from around the world participate in developing and maintaining the software. Open-source projects are typically hosted on platforms like GitHub or GitLab and are governed by licenses such as the GNU

 

Q3. Compare and contrast the models of open-source development, free software development, and discuss the concept of forking in open-source projects. 5+5         

Ans 3.

Open-Source and Free Software Models

Open-source development and free software development are two closely related but philosophically distinct approaches to building software. Open-source software (OSS) emphasizes practical benefits like code quality, faster innovation, and cost-efficiency. It is defined by the Open Source Initiative (OSI) and focuses on the technical and collaborative aspects of development. Free software, as defined by the Free Software Foundation (FSF), focuses more on user freedoms—particularly the freedom to run, study, change, and share software. The term “free” in this context

 

Set-II

 

Q4. Compare and contrast the features, architecture, and use cases of SAPDB, SQLite, Firebird, PostgreSQL, and MySQL database systems. 5+5

Ans 4.

Overview of Key Open Source Databases

Several open-source database systems are widely used based on specific requirements like scalability, simplicity, concurrency, and performance. SAPDB, SQLite, Firebird, PostgreSQL, and MySQL each serve distinct user needs with unique architectures and feature sets. Understanding their

 

Q5. Explain the concept of join algorithms in relational databases and discuss different join algorithms such as nested loop join, hash join, and merge join. 5+5   

Ans 5.

Concept of Join Algorithms

Join algorithms are crucial techniques in relational databases used to combine rows from two or more tables based on a related column. Joins help in executing queries involving multiple relations and are central to SQL operations like INNER JOIN, LEFT JOIN, and OUTER JOIN. Different join algorithms are employed by query optimizers depending on factors such as data size, indexing, and memory

 

 

Q6. Explain strategies for managing database size and scaling database systems to handle increasing volumes of data and user concurrency. 5+5 

Ans 6.

Managing Database Size and Growth

As data volumes grow, efficient database size management becomes crucial for performance and cost optimization. Several strategies are employed to keep databases scalable and responsive. These include data archiving, partitioning, compression, and index optimization. Data archiving involves moving older, less frequently accessed data to cheaper storage systems, keeping the active database lean. Partitioning divides large tables into smaller, manageable segments based on key fields like date or