# Fact Data Modeling: Minimizing Shuffle and Reducing Facts Day 3 Lecture

> 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.

- Web page: https://learn.dataexpert.io/lesson/fact-data-modeling-day-3-lecture-yt
- Program: [Boot Camp: Community Edition](https://learn.dataexpert.io/program/free-community-boot-camp)
- Module: Fact Data Modeling
- Access: Requires enrollment in Boot Camp: Community Edition
- Length: 32 min video
- Skills: SQL, Data Modeling, Apache Spark
- Academy: DataExpert.io Community Academy

## About this lesson

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.

## Navigation

- Previous lesson: [Fact Data Modeling: Compact Tables for Efficient Data Representation Day 2 Lab](https://learn.dataexpert.io/lesson/fact-data-modeling-day-2-lab-yt.md)
- Next lesson: [Fact Data Modeling: Practical Guide to Formatting and Aggregating Data Day 3 Lab](https://learn.dataexpert.io/lesson/fact-data-modeling-day-3-lab-yt.md)