# Managing Unstructured Data Day1 Lab

> In this video, Eumar walks you through the four notebooks focused on Unity Catalog, synthetic data generation, and using Databricks AI functions to parse receipts. He discusses the importance of handling PII data and how to effectively process data in parallel using Spark. He demonstrates how to cr…

- Web page: https://www.dataexpert.io/lesson/managingunstructureddataday1lab-feb26
- Program: [Winter 2026 Data Engineering Boot Camp](https://www.dataexpert.io/program/databricks-engineering-boot-camp-starting-february-9th-2026-7319)
- Access: Requires enrollment in Winter 2026 Data Engineering Boot Camp
- Length: 48 min video
- Skills: Python, ETL/ELT, Apache Spark, Git, Databricks
- Academy: DataExpert.io Academy

## About this lesson

In this video, Eumar walks you through the four notebooks focused on Unity Catalog, synthetic data generation, and using Databricks AI functions to parse receipts. He discusses the importance of handling PII data and how to effectively process data in parallel using Spark. He demonstrates how to create schemas, tables, and volumes, and encourages everyone to follow along and try the exercises at home. Additionally, he highlights the use of the Databricks AI DevKit for generating code and managing data.

## Navigation

- Previous lesson: [Managing Unstructured Data Day1 Lecture](https://www.dataexpert.io/lesson/managingunstructureddataday1lecture-feb26.md)
- Next lesson: [Managing Unstructured Data Day2 Lecture](https://www.dataexpert.io/lesson/managingunstructureddataday2lecture-feb26.md)