When you have data, and data which is flowing fast with variety into the ecosystem, the biggest challenge is governing that data. In traditional data warehouses, where data is strucured and the structure is always known, creating processes, methods, and frameworks is quite easy. But in a big data environment, where data flows fast while inferring run time schema, the need to govern data is at run time.
When I was working with my team to develop an ingestion pipeline and collecting ideas from the team and other stakeholders on how the ingestion pipeline should be, one idea was common: can we build a system where we can analyze what changed overnight in a feed structure. The second requirement was finding the pattern of the data, e.g. how could we find out that a data element was a SSN numer, a first name, etc., so that we can tag the sensitive information at run time?