Introduction

In order to extract insights from your database, you need data. And, while many companies store and update data within a central database, there are scenarios in which you will need more data than is currently in your database. In this chapter, we are going to explore how we can efficiently upload data to our centralized database for further analysis.

Not only will we want to upload data to our database for further analysis, but if we are doing advanced analytics, there will also be situations wherein we will need to download data from our database (for example, if we want to perform a statistical analysis that is unavailable in SQL). For this reason, we will also explore the process of extracting data from our database. This will allow you to use other software to analyze your data.

In this chapter, we will look at how you can integrate your workflows with two specific programming languages that are frequently used for analytics: Python and R. These languages are...