Add DataOps Tests to Deploy with Confidence
DataOps is the art and science of automating the end-to-end life cycle of data-analytics to improve agility, productivity and reduce errors to virtually zero. The foundation of DataOps is orchestrating three pipelines: data operations, analytics development/deployment...
Writing DataOps Tests with the DataKitchen Platform
Tests identify data and code errors in the analytics pipelines. Automated orchestration of tests is especially important in heterogeneous technical environments with streaming data. The DataKitchen Platform makes it easy to write tests that check and filter data...
Add DataOps Tests for Error-Free Analytics
How much of your time do you spend writing tests? In a DataOps enterprise, data professionals spend 20% of their time writing tests. This may seem like a lot, but if an organization is wasting time due to errors, every hour spent on tests saves many hours in lost...