Summary

In this chapter, we looked at a whole range of data governance aspects. First, we laid out what data governance means and why organizations need it to create a world-class modern data platform. We also looked at how AWS views data governance, as defined by a combination of people, processes, and technology. All three aspects need to be aligned for data governance to be effective at an enterprise level.

We also spent quite a bit of effort explaining how a new service, Amazon DataZone, helps refine data governance and helps simplify the whole process across many of the individual analytics services of AWS. DataZone provides a comprehensive way of allowing publishers and subscribers to discover, publish, and subscribe to enterprise-wide data in a distributed manner. This alleviates the burden of creating cumbersome automations and setting up expensive tools to create a self-service analytics platform. In short, Amazon DataZone helps democratize data faster.

Afterthat, we...