In this introduction to 1010data's Group Functions, or as we simply call them: G_Functions, we will review the basics of data aggregation, look at examples of conventional methods of aggregation, and learn about the anatomy of all basic G_Functions.

If you are new to the world of Big Data, you may still be familiar with the concept of data aggregation, but you might not be aware of your own familiarity. In essence, aggregation is what we call the process of starting with many data points and arriving at a smaller number of more meaningful data points.

We can use a single G_Function to perform the exact same calculations as in our tabulation example.

After looking at the last few examples, it should be fairly clear that the G in G_Functions stands for Group.