# Q&A with Zach Week2

> A week two Q&A session covers various topics related to data engineering and analytics. Participants discuss upcoming lessons on analytical patterns and change data capture, along with tools like Snowflake and DBT. Key points include the importance of data quality checks, the role of analytics engi…

- Web page: https://www.dataexpert.io/lesson/qawithzachweek2-jan2026
- Program: [Winter 2026 Analytics Engineering Camp](https://www.dataexpert.io/program/winter-2026-snowflake-boot-camp)
- Access: Requires enrollment in Winter 2026 Analytics Engineering Camp
- Length: 55 min video
- Skills: Data Modeling, ETL/ELT, dbt, Data Warehousing, Snowflake, Apache Iceberg
- Academy: DataExpert.io Academy

## About this lesson

A week two Q&A session covers various topics related to data engineering and analytics. Participants discuss upcoming lessons on analytical patterns and change data capture, along with tools like Snowflake and DBT. Key points include the importance of data quality checks, the role of analytics engineers versus data engineers, and the integration of AI in data pipelines. The session also addresses homework deadlines and project requirements, providing insights into best practices for managing data in cloud environments.

## Navigation

- Previous lesson: [Q&A with Zach Week1](https://www.dataexpert.io/lesson/qawithzachweek1-jan2026.md)
- Next lesson: [Q&A with Zach Week3](https://www.dataexpert.io/lesson/qawithzachweek3-jan2026.md)