What are the different methods of Data Processing?

Data processing is to process, cleanse, organize the data for the usable form. This process handle by data scientists or a team of scientists or data engineers. Data processing has some methods to proceed,

• Single user and Multiple programming: Single user method is data processing is done by the single user, which means a single analyst for personal use. Mult-user programming will be handle by the group of team members, especially for the data scientists team, for organizational purposes.
• Real-time processing: This mode is efficient for the user to interact. The user interface is highly intractable. So it is easy to spot the errors and further debug them.
• Online processing: Here, the process needs an Online connection for further process.
• Time-sharing processing: This mode mirrors the online data processing, but here we can share the processed data with some others with proper authorization.
• Distributed processing: As the distributed networks, this mode needs a single host to interlinked each other.

REFERENCE: https://doi.org/10.1007/978-1-0716-0239-3_4