Badook for
Data Engineers

As data practitioners, we know data engineering can at times feel like a thankless job. You are responsible for various data sources, ensuring all the data sets are complete, free of errors, and satisfy all the end-users expectations.

As Data Engineers, you are left with the overall responsibility but limited or no tools to validate data quality. 

badook’s test automation platform is built to allow data teams to gain confidence in their data throughout the whole lifecycle, from development to production and from source to consumer.

Focused on data engineers

We solve some of the biggest challenges of data engineering teams:

END-TO-END DATA QUALITY

badook lets you manage quality from development via CI/CD to production, ensuring you catch issues as early as possible. badook also makes it easy for you to take the same issues you find in run-time and create tests to prevent them from happening again.

HAVE WELL DEFINED CONTRACTS FOR YOUR DATA​

badook uses a simple Python SDK to author tests. This means you can set up contract testing easily with both data vendors and clients. Something is wrong, and a test failed? You can set up notifications using your messaging platform of choice and get everyone up to speed with exactly what had happened.

DISCOVER MORE SUBTLE DATA ISSUES WITH AI

Data is vast, and issues can be too subtle for the human eye. ML models are better at detecting some problems like anomalies and seasonality. badook's Test Discovery and recommendations are here to help you analyse your data and recommend new tests giving you data quality superpowers.

FULLY INTEGRATED ACROSS YOUR DATA STACK​

badook is built by data professionals for data professionals. It runs locally in your cloud environment and is integrated with all your tools, from data stores to pipeline orchestration; badook is integrated and can be easily added to your environment.