Analyzing GitHub Archive Data - 1.Introduction

Follow along as we introduce the GitHub Archive data set. We'll start with a quick introduction into the dataset by using a StreamLit app. The second part takes a closer look at the StreamLit and the queries that are executed. Also we will talk about what makes Firebolt fast, that 5 billion events can be queried with sub second latencies. If you are interested in the way the GitHub archive data has been indexed into Firebolt, then the third part is for you!

You can take a look at the sample Streamlit app on this GitHub repository:

If you have further questions about this, don't hesitate to check out the Firebolt Help Center and share your question: