# Q&A Week 4

> This Q&A session covers a wide range of topics related to data engineering, Spark, and the boot camp experience. Participants ask questions about Spark job structuring, the use of Snowflake and DBT, and strategies for handling real-time data from APIs like Stripe. The discussion also touches on per…

- Web page: https://www.dataexpert.io/lesson/qa-week-4-jan2025-p736-l800
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Q&A with Zach
- Access: Requires enrollment in DataExpert
- Length: 42 min video
- Skills: Data Modeling, ETL/ELT, Apache Spark, dbt, Snowflake
- Academy: DataExpert.io Academy

## About this lesson

This Q&A session covers a wide range of topics related to data engineering, Spark, and the boot camp experience. Participants ask questions about Spark job structuring, the use of Snowflake and DBT, and strategies for handling real-time data from APIs like Stripe. The discussion also touches on personal experiences in the tech industry, including insights into interview preparation and the importance of using live data for capstone projects. This session is beneficial for anyone looking to deepen their understanding of data engineering concepts and tools.

## Navigation

- Previous lesson: [Q&A Week 3](https://www.dataexpert.io/lesson/qa-week-3-jan2025-p736-l781.md)
- Next lesson: [Q&A with Zach Week 1](https://www.dataexpert.io/lesson/qa-with-zach-week-1-may2025-p736-l1077.md)