Big Data Analytics

Chapter 5

Data Governance for Big Data Analytics

Considerations for Data Policies and Processes

In this chapter we look at the need for oversight and governance for the data, especially when those developing big data applications often bypass traditional IT and data management channels. Some of the key issues involve the fact that for big data applications that consume massive amounts of data streamed from external sources, there is little or no control that can be exerted to ensure data quality and usability. We consider five key concepts, namely managing data consumer expectations, defining critical data quality dimensions, monitoring consistency of metadata, data repurposing and reinterpretation, and data enrichment when possible.

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