This chapter introduced the concept of NoSQL. The term has gained popularity in recent years, especially due to its relevance and direct application to big data analytics. We discussed the core terminologies in NoSQL, their various types, and popular software used in the industry for such capabilities. We concluded with a couple of tutorials using MongoDB and kdb+.

We also built an application using R and R Shiny to create a dynamic web interface to interact with the data loaded in kdb+.

The next chapter will introduce another common technology in data science today, known as Spark. It is yet another toolkit that empowers data scientists across the world today.