# Fact Data Modeling - Core Concepts, Deduplication Techniques, and Retention Considerations with Iceberg (Day 1 Lecture) 

> In this lecture, we delve into the realm of fact data modeling, focusing on the core concept of facts and addressing the challenges associated with handling duplicates. Our exploration underscores the pivotal role of facts in data engineering, shedding light on their significance. Practical insight…

- Web page: https://www.dataexpert.io/lesson/fact-data-modeling-day-1-lecture-v3
- Program: [Data Engineering Boot Camp V2 Combined Track](https://www.dataexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 2: Fact Data Modeling in Iceberg
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h video
- Skills: Data Modeling, ETL/ELT, Apache Iceberg
- Academy: DataExpert.io Academy

## About this lesson

In this lecture, we delve into the realm of fact data modeling, focusing on the core concept of facts and addressing the challenges associated with handling duplicates. Our exploration underscores the pivotal role of facts in data engineering, shedding light on their significance. Practical insights into deduplication techniques are provided, and we discuss the ramifications of retention on fact data. Join us in this video to gain a comprehensive understanding of fact data modeling and its crucial implications in the field of data engineering.[Recorded Nov 14, 2023]

## Navigation

- Previous lesson: [Fact Data Modeling - Practical Insights into Data Modeling and Analysis with Iceberg (Day 1 Lab)](https://www.dataexpert.io/lesson/fact-data-modeling-day-1-lab-v3.md)
- Next lesson: [Fact Data Modeling - Compact Tables for Efficient Data Representation with Iceberg (Day 2 Lab)](https://www.dataexpert.io/lesson/fact-data-modeling-day-2-lab-v3.md)
