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    Da·ta proc·ess·ing
    /ˈˌdædə ˈprɑsɛsɪŋ/

    noun

    • 1. a series of operations on data, especially by a computer, to retrieve, transform, or classify information: "management strategies in data processing"

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  3. A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information etc. depending on the interpreter's relation to the system. A term commonly used synonymously with data or storage (codes) processing system ...

  4. Feb 21, 2024 · Data processing is the method of collecting raw data and changing it into usable information. It is typically performed in a multi-step process by an organization’s teams of data scientists and data engineers. The raw data is collected, filtered, sorted, analyzed, processed, stored and provided to the appropriate parties in a readable format.

  5. Oct 21, 2020 · Data processing is the method of collecting raw data and translating it into usable information. It is usually performed in a step-by-step process by a team of data scientists and data engineers in an organization. The raw data is collected, filtered, sorted, processed, analyzed, stored, and then presented in a readable format.

    • Nikita Duggal
  6. Data preparation, often referred to as “pre-processing” is the stage at which raw data is cleaned up and organized for the following stage of data processing. During preparation, raw data is diligently checked for any errors. The purpose of this step is to eliminate bad data ( redundant, incomplete, or incorrect data) and begin to create ...

  7. Jul 24, 2023 · the converting of raw data to machine-readable form and its subsequent processing (such as storing, updating, rearranging, or printing out) by a … See the full definition Menu Toggle

  8. Aug 31, 2023 · Data processing describes the collection and transformation of raw data into meaningful information. Once processed, this information can be used for a variety of different purposes by everyone from data scientists to business analysts, C-suite decision-makers, and IT managers, to name just a few.

  9. With data processing, raw data is collected from various data input sources and means, from real-time data streaming to more static batch processes from which data is collected and processed at specific intervals. The raw data is transformed or processed in a series of steps that validate, format, sort, aggregate and store data.

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