When you are planning a new data aggregation, summarization, or Quick Query, G_Functions are often the best way to build your analysis. The G_Function library offered by 1010data gives you many more options than standard tabulations for performing calculations across entire data sets. G_Functions are also optimized to work with 1010data's powerful system architecture, so your results are returned faster. And lastly, G_Functions let you retain all the information in your table, as opposed to eliminating columns that didn't apply directly to your summary.
When you do decide to use G_Functions, keep in mind that there are a few rules that will keep you on track. Keep the following things in mind when using a G_Function:
Of course, we only scratched the surface of G_Functions in this tutorial. Look for future tutorials that will examine how to use more advanced G_Functions, as well as specific analyses that use G_Functions. But for now, start slowly, explore the function library, and build something that answers an interesting question.