Get to know more about Tokern by borneo!
Are you passionate about data security? We’re open to guest writers!
Join our Slack community to meet fellow enthusiasts.
Data Observability is a set of processes to understand the health of data at an organization. Some factors that determine the health of the data are:
Freshness: Tracks if data pipelines read the latest and most up-to-date version of the data. Field Statistics such as ratio of null values, min/max etc. should be in line with historical trends. Volume: No. of rows or data size in a dataset should be in line with historical trends. Lineage: Data Lineage enables providing context when triaging data health issues.
Data Governance, Privacy and Security
News about technology behind Data Governance, Security and Privacy