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

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Indhold leveret af Emily Watson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Emily Watson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

Artwork
iconDel
 
Manage episode 322886905 series 2936681
Indhold leveret af Emily Watson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Emily Watson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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