Summary

With this chapter, you have completed the entire book. That means you now have a thorough understanding of the infrastructure of AI systems. We have covered a tremendous number of topics in the book and supplied a great number of exercises and activities for you to follow. Let’s have a short recap of all the topics in the book.

In Chapter 1, Data Storage Fundamentals, we started with the basics – the chapter covered data storage fundamentals. You learned about AI and machine learning in general, and we used text classification as an example of a machine learning model. Chapter 2, Artificial Intelligence Storage Requirements, was about requirements and covered a great number of concepts in depth. For every data storage layer in a data lake, you learned about the specific requirements and methods to store and retrieve data at scale. We addressed security, scalability, and various other aspects of building great data-driven systems. In Chapter 3, Data Preparation...