Wikipedia

User:Dineshgladis12/Robotic Data Automation

< User:Dineshgladis12

Robotic Data Automation[1] (or RDA) is a form of Business process automation which helps users to realize value from data faster by simplifying and automating the repetitive process with respect to data.(not to be confused with Robotic process automation).

The traditional method to perform any task with the data involves various functions including Data integration, Data preparation, and Data transformation from multiple sources. This resulted in manually spending hours to obtain data from and finally creating a database for different sources to do analysis. It is now possible to perform all these steps using Robotic Data Automation by creating No-code pipelines.

RDA Vs RPA

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Robotic Process Automation automates business processes and user tasks, whereas RDA automates data tasks. Generally, it is about automating the manual, cumbersome, expensive Data pipeline process with bots. In summary, RDA automates DataOps and associated MLOps, similar to what Robotic process automation did to automate business processes. RDA perfectly complements RPA by automating complex data workflows and integrations.

Deployment

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Robotic Data Automation can be deployed in many use cases but the ideal deployments which will benefit are the ones which produce enormous amounts of data each and every day.

RDA Actual Deployment:

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  • IT Service Management
  • Data Center Management
  • 5G/Edge
  • DevOps
  • Configuration Management Database

Examples

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  • After data has been entered robotic data automation, also known as software bots, can be taught to recognize specific data patterns, such as dates, costs, and product numbers, in files, reports, or data silos.[2]
  • Platform powered by robotic data automation, across security, risk management, compliance, and audit.[3]
  • Implementing Low-code Data pipeline using Data bots

See also

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Automation

Business process automation

Robotic process automation

References

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  1. ^ "How Robotic Data Automation Could Automate Data Pipelines". Forbes. August 3, 2021.
  2. ^ Williams, C. (2021). MGMT. Cengage Learning. p. 391. ISBN 9780357137819.
  3. ^ Shades, I. T. (3 March 2021). T-Bytes Platforms & Applications.
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Category:Business software

Category:Automation software

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