Question

How to efficiently and securely manage data lifecycle in the cloud?

Context

Data lineage helps data lifecycle management by including metadata such as the data origin and where it moves over time, how is it accessed/modified and by whom. Data lineage increases visibility in the data analytics pipeline and simplifies tracing errors back to their sources. In the cloud context, sharing data across applications is what is happening in the current connected world. However, with fake data everywhere, without proper trace and track the source of data and how the data was processed over time, data reliability is reduced.

Solution

All data exchanged between different entities across applications (systems) must be attached with (1) access and usage control policy used to govern/control the access and usage of data and (2) the access and usage history that stores all access and usage information at any point in the data lifecycle.

Compliance and Regulatory Navigation