Based on data handling techniques computer system is classified into
There are multiple ways to classify computer systems based on their data handling techniques. Some common classifications are:
1. Batch Processing Systems: These systems process a large volume of similar data in batches. The input data is collected and processed together without any user interaction. Examples include payroll processing systems and data analysis systems.
2. Online Transaction Processing (OLTP) Systems: These systems handle real-time data processing and are designed to support quick and concurrent transactions. They are commonly used in applications such as banking systems, e-commerce websites, and reservation systems.
3. Real-Time Systems: These systems handle data in real-time and provide instant responses. They are used in applications where immediate response is critical, such as air traffic control systems, industrial control systems, and medical monitoring systems.
4. Distributed Systems: These systems handle data across multiple computers or servers connected through a network. They provide advantages like fault tolerance, load balancing, and scalability. Examples include cloud computing platforms and distributed databases.
5. Client-Server Systems: In this classification, the processing of data is divided between clients and servers. Clients request services or data from servers, and servers handle the processing and provide the requested information. Examples include web applications and email systems.
6. Parallel Processing Systems: These systems use multiple processors or computers to process data simultaneously, allowing for faster execution of complex tasks. They are used in applications like scientific simulations, weather forecasting, and big data analytics.
7. Data Warehouse Systems: These systems store large amounts of historical and current data used for analysis and decision-making. They typically involve data extraction, transformation, and loading processes, as well as tools for data querying and reporting.
8. Object-Oriented Database Systems: These systems store and handle data in an object-oriented manner, treating data as objects with associated attributes and behaviors. They are used in applications where complex data structures and relationships need to be managed efficiently, such as multimedia systems and CAD/CAM systems.
It's important to note that these classifications are not mutually exclusive, and a computer system can fall into multiple categories based on its data handling techniques.