Data Validation Task

A Data Validation Task is a data processing task that involves checking that data meets certain criteria.

• Example(s):
  • Data Type Checking.
  • Data Value Range Checking.
  • Data Format Checking.
  • …
• Counter-Example(s):
  • a Data Entry/Data Acquisition Task.
  • an Extract-Transform-Load Task.
• See: Data Validation Library.

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References

2023

• GBard
  • A data validation task is a data task that involves checking that data meets certain criteria. This can include checking the type of data, the range of values, the format of the data, or the presence of required fields.
  • Data validation tasks are important because they help to ensure that data is accurate and reliable. This is especially important in applications where data is used to make decisions or to train machine learning models.
  • There are a variety of different data validation tasks that can be performed. Some common examples include:
    • Validating user input on a web form.
    • Validating data before it is loaded into a database.
    • Validating data before it is processed by a data science or machine learning algorithm.
    • Validating data before it is exported to a file.

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