A/B Testing was a handful

Unlike normal reporting, A/B testing collects data of a different combination of dimensions every time. It is also a complicated kind of analysis of immense data. In our case, we have a real-time data volume of millions of OPS (Operations Per Second), with each operation involving around 20 data tags and over a dozen dimensions.

For effective A/B testing, as data engineers, we must ensure quick computation as well as high data integrity (which means no duplication and no data …

a/b testing analysis b testing case combination data datascience kind normal operations ops per real-time reporting testing