DataOps Data Quality TestGen, or "TestGen" for short, can help you find data issues so you can alert your users and notify your suppliers. It does this by delivering simple, fast data quality test generation and execution by data profiling, new dataset screening and hygiene review, algorithmic generation of data quality validation tests, ongoing production testing of new data refreshes, and continuous anomaly monitoring of datasets. TestGen is part of DataKitchen's Open Source Data Observability.
What does DataKitchen's DataOps Data Quality TestGen do? It helps you understand and find data issues in new data.
The dk-installer program installs TestGen in either Docker or pip mode. For complete instructions, see the documentation:
We recommend you start by going through the Data Observability Overview Demo.
For support requests, join the Data Observability Slack 👋 and post on the #support channel.
Follow these instructions to improve the quality of data in your database.
Talk and learn with other data practitioners who are building with DataKitchen. Share knowledge, get help, and contribute to our open-source project.
Join our community here:
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👋 Join us on Slack, this is also how you get support (see above)
For details on contributing or running the project for development, check out our contributing guide.
DataKitchen's DataOps Data Quality TestGen is Apache 2.0 licensed.