Five Different Data Processing Methods

by | Last updated Apr 12, 2023 | Published on Apr 12, 2023 | Data Processing Services

In its raw form, data is unusable for an organization. That’s where data processing comes in. It involves collecting raw data and transforming it into a format that can be used for business purposes. In today’s data-driven digital world, data processing services are used to transform data into various digital formats. Data analytics are then used to gain valuable insights from the information. Various industries, including e-commerce, education, healthcare, banking, travel, and retail use data processing and data analytics to derive additional insights from big data.

Data scientists and data engineers are responsible for managing and handling the data processing cycle within an organization. There are different data processing techniques such as manual data processing, mechanical data processing, and electronic data processing.

5 Main Types of Data Processing

Data Processing

Commercial data processing

  • Includes batch processing
  • Fewer computational operations

Scientific data processing

  • Larger use computational operations
  • Takes longer time to process data

Batch processing

  • Data is collected and processed in batches
  • Used when the data is homogenous and available in large volumes

Online processing

  • Raw data is automatically fed into a computer system
  • Used when the data has to be processed continuously

Real-time processing

  • Real-time processing of data
  • Enables quicker execution of business tasks

Businesses use different data processing methods based on the data they have and their goals. Transforming large data sets into well-presented information can help them make informed decisions, improve their operational efficiency, and gain a competitive edge in the market.

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