DataOps Tools: Key Capabilities & 5 Tools You Must Know About
DataOps, short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization.
We’ve compiled a list of the top data quality metrics that you can use to measure the quality of the data in your environment. Plus, see real examples of each data quality metric in Databand’s observability platform.
A quick google search will show that data quality metrics involve all sorts of categories.
Completeness, consistency, conformity, accuracy, integrity, timeliness, continuity, availability, reliability, reproducibility, searchability, comparability, and probably ten other categories I forgot to mention all relate to data quality.
So what are the right metrics to track? Well, we’re glad you asked.
Take a look and let us know what other metrics you think we need to add!