The data sources for a data science project can be clubbed into the following categories:
- Databases: Most of the CRM, ERP, and other business operations tools store data in a database. Depending on the volume, velocity, and variety, it can be a traditional or NoSQL database. To connect to most of the popular databases, we need JDBC/ODBC drivers from Python. Fortunately, there are such drivers available for all the popular databases. Working with data in such databases involves making a connection through Python to these databases, querying the data through Python, and then manipulating it using pandas. We will look at an example of how to do this later in this chapter.
- Web services: Many of the business operations tools, especially Software as a Services (SaaS) tools, make their data accessible through Application Programming Interfaces (APIs)...
