The article explains how to use Firebolt and Cube to generate insights from Wikipedia page view logs, with the goal of identifying outliers in the data. The process involves creating a Firebolt account, setting up a database and table structure, ingesting data from S3 into Firebolt, calculating time-window aggregations, searching for outliers, and storing the results in a separate fact table. Additionally, Cube is used to encapsulate queries, provide access control, and deliver the data via its REST API to end users of a web application built with React. The article also discusses the technology behind Firebolt's high performance and how it can be connected to Cube for a seamless data analytics experience.