COMP100: Data Processing Introduction

Introduction to Data Processing

• Data processing involves the manipulation of data to convert it into a more useful form.

Data Processing Cycle

• Consists of five main stages: Input, Processing, Storage, Output, Distribution.

Categories of Data Processing

• Mechanical Data Processing: Combines manual procedures and mechanical devices like typewriters and calculators.
• Electronic Data Processing: Involves interconnected devices such as computers for processing data.

Areas of Data Processing

• Business Data Processing (BDP): Focuses on establishing, retaining, and processing business data to produce useful information.
• Scientific Data Processing (SDP): Involves handling limited volumes of input with complex logical or arithmetic calculations.

Data Processing Operations

• Recording: Transferring data onto documents or forms.
• Verifying: Checking recorded data for accuracy, given that recording is often manual.
• Duplicating: Reproducing data across multiple documents.
• Classifying: Categorizing data into various groups.
• Sorting: Arranging data in a specific order.
• Calculating: Performing arithmetic manipulations on data.
• Summarizing and Reporting: Condensing data and presenting conclusions in a meaningful format.
• Merging: Combining multiple sets of sorted data based on a common key.
• Storing: Keeping similar data in files for future reference.
• Retrieving: Accessing stored data when needed.
• Feedback: Comparing outputs against pre-defined goals to evaluate performance.

Methods of Processing Data

• Batch Processing: Involves collecting data or programs into groups for efficient serial processing.
• Online Processing: Refers to processes controlled directly by the computer's CPU.
• Real-time Processing: Enables immediate data processing and response, impacting the outcomes of activities.
• Distributed Processing: Connects remote terminals to a central computer system, facilitating inquiries and processing jobs.