# Data Accessibility and Privacy (Day 4 Lab)

> In this lab, Zach discusses the concepts of anonymization and retention strategies in data management. He explains how to create tables and schemas, and how to handle anonymized data. He also demonstrates how to join tables and perform queries to retrieve specific data. Throughout the lab, he provi…

- Web page: https://www.dataexpert.io/lesson/fact-data-modeling-day-4-lab-v4
- Program: [Data Engineering Mastery Course](https://www.dataexpert.io/program/data-engineering-mastery-course)
- Module: Week 2: Fact Data Modeling in Iceberg
- Access: Requires enrollment in Data Engineering Mastery Course
- Length: 39 min video
- Skills: SQL, Data Modeling
- Academy: DataExpert.io Academy

## About this lesson

In this lab, Zach discusses the concepts of anonymization and retention strategies in data management. He explains how to create tables and schemas, and how to handle anonymized data. He also demonstrates how to join tables and perform queries to retrieve specific data. Throughout the lab, he provides examples and explanations to help viewers understand the concepts better. [Recorded on May16th, 2024]

## Navigation

- Previous lesson: [Fact Data Modeling - Core Concepts, Deduplication Techniques, and Retention Considerations with Iceberg (Day 1 Lecture) - Pre-recorded from V3](https://www.dataexpert.io/lesson/fact-data-modeling-day-1-lecture-v4.md)
- Next lesson: [Fact Data Modeling - Practical Guide to Formatting and Aggregating Data with Iceberg (Day 3 Lab) - Pre-recorded from V3](https://www.dataexpert.io/lesson/fact-data-modeling-day-3-lab-v4.md)