Applying enterprise-level data governance
Not every cloud data architect will have to be as well-versed in the following part, as the implementation of data governance is something that happens organization-wide, rather than on the level of a single data solution. It would mainly involve a chief architect, CDO, or CIO.
Data governance forms an essential component for any data estate at scale, yet we cannot implement data governance blindly. As we will see later, data governance can be implemented too late or too early.
Neglecting the need for governance over a longer period of time, until the data platform reaches full-scale maturity, will cause many issues in the long run. The longer governance, compliance, and data management are neglected, the more technical debt is built up. The data landscape will turn into an unmanageable swamp, making it hard or near impossible to clean up and organize. Therefore, the key takeaway here is to think about data governance from the start.
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