What are some popular open-source data validation tools?
Some popular open-source data validation tools include Great Expectations, Deequ, and Apache Nifi. Would you like to know more about any of these?
Can you explain how Great Expectations works?
Great Expectations is a Python-based tool that helps you define, document, and validate your data expectations. It allows you to create data quality checks and generate reports.
What are the benefits of using open-source tools for data validation?
Open-source tools are often free, customizable, and have community support. They also allow for transparency in how data is validated.
Are there any specific use cases for these tools?
Yes, they can be used in data pipelines, ETL processes, and for ensuring data quality in machine learning projects.
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