Data Validation — Aamir P

Aamir P
2 min readSep 12, 2023

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Hello everyone today we will discuss Data Validation.

It is the process of ensuring the data is consistent, accurate and compliant with predefined rules. Data Validation plays a crucial role in Data Quality and Data Management. It helps to prevent errors and inconsistencies as it affects decision-making which has a significant impact on business operations.

Some of the key points you should be aware of: —

  1. It checks the accuracy (i.e.) it is free from errors like typos, data entry mistakes, etc.
  2. Then it will check for completeness (i.e.) all the required fields are filled with values.
  3. Data needs to be consistent within and across datasets.
  4. Check the data formats are correct, which means the date has a format or the email has a structure. These things matter here.
  5. The data range can be within acceptable limits. For example, date
  6. All the above helps in maintaining data integrity.
  7. Always generate validation reports to highlight the errors for review and resolution.

So, that’s it for the day! Thanks for your time in reading my article. Tell me your feedback or views in the comments section.

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Aamir P
Aamir P

Written by Aamir P

Hi! This is Aamir P. I am working as a Data Engineer. Google search AAMIR P to get my books from Amazon! Follow my medium account to get motivational content.

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