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Episode 17: An Ultimate Guide to Data Cleaning - Key Factors to Consider

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Manage episode 322886905 series 2936681
Content provided by Emily Watson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily Watson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Data quality plays a major role across different industries. Error-free data is the need of this digital era. Reducing data errors and inconsistencies can help businesses achieve maximum efficiency. Data cleansing or data scrubbing is the process of determining and removing inaccurate, corrupted, or unreasonable data within a dataset. Combining multiple data sources can give rise to duplicate data. Know more in detail.
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18 episodes

Artwork
iconShare
 
Manage episode 322886905 series 2936681
Content provided by Emily Watson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily Watson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Data quality plays a major role across different industries. Error-free data is the need of this digital era. Reducing data errors and inconsistencies can help businesses achieve maximum efficiency. Data cleansing or data scrubbing is the process of determining and removing inaccurate, corrupted, or unreasonable data within a dataset. Combining multiple data sources can give rise to duplicate data. Know more in detail.
  continue reading

18 episodes

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