Summary

With that, this short introduction has come to an end. The idea here was to provide a quick history of how data and analytics evolved. We went through the different types of data warehouse designs, along with their pros and cons. We also looked at how the recent exponential growth of data has made it difficult to use the same type of system architecture for all types of use cases.

This gives us a perfect launching pad to understand what modern data architecture is and how it can be architected using different AWS data and analytics services.