Chapter 6. Interacting with Databases
Data analysis starts with data. It is therefore beneficial to work with data storage systems that are simple to set up, operate and where the data access does not become a problem in itself. In short, we would like to have database systems that are easy to embed into our data analysis processes and workflows. In this module, we focus mostly on the Python side of the database interaction, and we will learn how to get data into and out of pandas data structures.
There are numerous ways to store data. In this chapter, we are going to learn to interact with three main categories: text formats, binary formats and databases. We will focus on two storage solutions, MongoDB and Redis. MongoDB is a document-oriented database, which is easy to start with, since we can store JSON documents and do not need to define a schema upfront. Redis is a popular in-memory data structure store on top of which many applications can be built. It is possible to use...
