Key metrics in a data lake
Now more than ever, digital transformation projects have tight deadlines and are forced to continue doing more with fewer resources. It is vital to demonstrate added value and results quickly.
Ensuring the success and longevity of a data lake implementation is crucial for a corporation, and effective communication of its value is essential. However, determining whether the implementation is adding value or not is often not a binary metric and requires a more granular analysis than a simple “green” or “red” project status.
The following list of metrics is provided as a starting point to help gauge the success of your data lake implementation. It is not intended to be an exhaustive list but rather a guide to generate metrics that are relevant to your specific implementation:
- Size: It’s important to monitor two metrics when evaluating a lake: the overall size of the lake and the size of its trusted zone...
