Suppose, I possess a retail dataset and my objective is to ensure data integrity by validating key attributes such as the dataset's schema, address fields, and overall structure. I am expecting that this validation process helps in ensuring the accuracy and quality of the incoming data, enabling reliable analysis and decision-making.
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Hey Nagisa, Sparkflows provides a diverse range of nodes that cater to the above-mentioned requirements as these nodes assist in ensuring data quality and integrity. Some of them are listed below :
Node Schema Validation
Validate Address
Validate Fields Advanced
For more detailed information read Sparkflows documentation here :
https://docs.sparkflows.io/en/latest/user-guide/data-preparation/data-validation.html