Summary

In this chapter, we started off by defining data and information, understanding why data is valuable, and then the benefits of data management. We took a deep dive into understanding how increasingly valuable data is becoming for organizations with the advent of machine learning and AI. We looked at some of the challenges associated with data management. This should have given you an appreciation of why data is critical and managing it effectively is an essential element for the continued success of an organization.

Next, we reviewed the data life cycle and an example within the context of Salesforce and the various operating models that are in use today to facilitate data management. We also discussed best practices associated with managing data and metadata in the context of Salesforce and what steps we can take as data architects to make data management easier. Equipped with this knowledge, you can start to gradually implement best practices and avoid the pitfalls that...