What are the best open-source data validation tools?
Some of the top open-source data validation tools include Great Expectations, Deequ, and TensorFlow Data Validation.
Can you tell me more about Great Expectations?
Great Expectations is a Python-based tool that helps you define, document, and validate your data expectations.
How does Deequ work for data validation?
Deequ is a library built on Apache Spark that allows you to define 'checks' on your data and automatically validate it.
Are there any specific use cases for TensorFlow Data Validation?
Yes, TensorFlow Data Validation is often used in machine learning pipelines to ensure data quality before training models.
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