COMP100: Data Processing Introduction

Study Notes

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

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

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.

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.

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.

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.