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Six stages of data processing

When data is processed, it is collected and converted into usable information. Data processing, which is typically performed by a data scientist or team of data scientists, must be done correctly so that the end product, or data output, is not harmed.<br>Learnbay is one such institute that offers data science course in Chennai with 100% job placement and certifications accredited with IBM.for more information visit our site https://www.learnbay.co/data-science-course/data-science-courses-in-chennai/

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Six stages of data processing

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  1. Six stages of data processing What is data processing .stages .and future of data processing

  2. What is data processing? When data is processed, it is collected and converted into usable information. Data processing, which is typically performed by a data scientist or team of data scientists, must be done correctly so that the end product, or data output, is not harmed.

  3. Stages of data processing Data collection Data preparation Data input Processing Data output/interpretation Data storage

  4. 1. Data collection The first step in data processing is data collection. Data is gathered from various sources, such as data lakes and data warehouses. It is critical that the data sources available are reliable and well-constructed in order for the data collected (and later used as information) to be of the highest possible quality.

  5. 2.Data preparation The data collection stage is followed by the data preparation stage. Data preparation, also known as "pre-processing," is the stage in which raw data is cleaned up and organised in preparation for the next stage of data processing. Raw data is thoroughly checked for errors during preparation. This step's goal is to get rid of bad data (redundant, incomplete, or incorrect data) and start creating high- quality data for the best business intelligence.

  6. 3.Data input The clean data is then entered into the destination (which could be a CRM like Salesforce or a data warehouse like Redshift) and translated into a language that it understands. Data input is the first stage in which raw data is transformed into usable information.

  7. 4.Processing The data entered into the computer in the previous stage is processed for interpretation during this stage. Machine learning algorithms are used in the processing, though the process may vary slightly depending on the source of data being processed (data lakes, social networks, connected devices etc.)

  8. 5.Data output/interpretation The output/interpretation stage is where non-data scientists can finally use the data. It is translated, readable, and frequently presented in the form of graphs, videos, images, plain text, and so on). Members of the organisation or company can now self-serve the data for their own data analytics projects.

  9. 6.Data storage Storage is the final stage of data processing. After all of the data has been processed, it is saved for future use. While some information may be useful right away, much of it will be useful later. Furthermore, properly stored data is required for compliance with data protection legislation such as GDPR.

  10. Thank you for watching for more information visit our website https://www.learnbay.co/

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