# Q&A Week 1

> The Week 1 Q&A session covers essential topics in data engineering, focusing on tools like Apache Iceberg, Hive, Trino, and Spark. Participants can gain insights into the practical applications of these technologies, including when to use Trino versus Spark for data processing and how to integrate…

- Web page: https://www.dataexpert.io/lesson/qa-week-1-jan2025-p736-l717
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Q&A with Zach
- Access: Requires enrollment in DataExpert
- Length: 46 min video
- Skills: SQL, Data Modeling, ETL/ELT, Apache Spark, Cloud Platforms, AWS, Apache Iceberg, Trino
- Academy: DataExpert.io Academy

## About this lesson

The Week 1 Q&A session covers essential topics in data engineering, focusing on tools like Apache Iceberg, Hive, Trino, and Spark. Participants can gain insights into the practical applications of these technologies, including when to use Trino versus Spark for data processing and how to integrate Iceberg with AWS Glue. The discussion also addresses common challenges and strategies for capstone projects, making it beneficial for both aspiring and current data engineers looking to enhance their skills and knowledge in the field.

## Navigation

- Previous lesson: [Capstone Showcase Jan 2025](https://www.dataexpert.io/lesson/capstone-showcase-jan2025-p736-l910.md)
- Next lesson: [Q&A Week 2](https://www.dataexpert.io/lesson/qa-week-2-jan2025-p736-l762.md)