Summary
In this chapter, we looked at what master data is and the importance of clean master data for generating accurate analytics. We looked at some of the main reasons why master data drifts from its original and correct values. We then looked at various patterns for maintaining master data and how master data can be accessed in a data mesh scenario with distributed analytics. MDM systems can be complex to build and maintain. We saw the pros and cons of building versus buying an MDM system.
In the next chapter, we will understand monitoring and data observability.
