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Non-data-intensive

Non-data-intensive describes processes, applications, or systems that rely on a relatively small amount of data to operate effectively. These entities typically prioritize efficiency, speed, and specific outputs over the analysis of vast datasets. They focus on immediate results, user interaction, or specialized tasks rather than broad data analysis and pattern discovery. The characteristic contrasts with 'data-intensive' applications and highlights a focus on other computational resources and methods to function, with the quality of output typically dependent on other factors.

Non-data-intensive meaning with examples

  • A simple to-do list application is non-data-intensive. Its primary function is to store and display user-entered tasks, relying on individual entries rather than analyzing large datasets. Performance depends on its code. The small data footprint ensures quick loading and minimal storage requirements, prioritizing ease of use.
  • A basic text editor used to write notes and letters on the computer is non-data-intensive. It primarily manipulates text characters rather than requiring databases, and relies on processing speed and the user's actions. It delivers quick results, with limited computational requirements, prioritizing immediate utility.
  • A standalone offline calculator is fundamentally non-data-intensive. It performs simple mathematical operations using internal algorithms with no need for external data. It excels through its operational simplicity, delivering quick and efficient results based on user input.
  • A simple alarm clock application on a smartphone is inherently non-data-intensive. Its function focuses on user input to define alarm settings and notification times, and does not analyze data. The applications's speed is prioritised for real-time operation, depending on immediate user action.
  • A program which allows the user to draw rudimentary pictures via clicking and drawing on the computer is non-data-intensive. This operates solely on the user's input and code. The focus remains on the user's action and a rapid, user-centric response.

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