The best way to Immediately Detect Information High quality Points and Determine their Causes
In in the present day’s data-driven world, organizations rely closely on correct knowledge to make vital enterprise choices. As a accountable and reliable Information Engineer, making certain knowledge high quality is paramount. Even a short interval of displaying incorrect knowledge on a dashboard can result in the fast unfold of misinformation all through the complete group, very like a extremely infectious virus spreads via a residing organism.
However how can we forestall this? Ideally, we might keep away from knowledge high quality points altogether. Nevertheless, the unhappy reality is that it’s not possible to utterly forestall them. Nonetheless, there are two key actions we will take to mitigate the impression.
- Be the primary to know when a knowledge high quality challenge arises
- Reduce the time required to repair the difficulty
On this weblog, I’ll present you find out how to implement the second level immediately in your code. I’ll create a knowledge pipeline in Python utilizing generated knowledge from Mockaroo and leverage Tableau to rapidly establish the reason for any failures. If you happen to’re searching for an alternate testing framework, take a look at my article on An Introduction into Great Expectations with python.
