This is a pre-recorded lesson from V3. The lecture emphasizes the significance of minimizing shuffle when dealing with fact data. It explains how reducing shuffle can enhance the efficiency of data analysis and pipelines. Furthermore, the concept of reducing facts is explored, illustrating how it empowers analytics and data scientists to experiment and make informed, data-driven decisions. Students will be guided through various frameworks and strategies for handling big data, with a focus on making data more accessible and efficient for extended timeframes.[Recorded Nov 16, 2023]