# Day 4 – Testing & Observability - part 2 + Quiz (1h)

> Testing and observability are crucial for maintaining data quality in DBT projects. This lesson covers advanced testing techniques, including unit tests and data tests, while emphasizing cost considerations associated with each test. Participants will learn how to implement tests effectively, utili…

- Web page: https://datagym.techexpert.io/lesson/053758f4-66a9-4ced-9583-d61bc030f5fdday4testingobservability2h
- Program: [Mini dbt Bootcamp Starting on August 5th](https://datagym.techexpert.io/program/mini-dbt-bootcamp-7325)
- Access: Requires enrollment in Mini dbt Bootcamp Starting on August 5th
- Skills: SQL, Data Modeling, dbt
- Academy: DataGym.io

## About this lesson

Testing and observability are crucial for maintaining data quality in DBT projects. This lesson covers advanced testing techniques, including unit tests and data tests, while emphasizing cost considerations associated with each test. Participants will learn how to implement tests effectively, utilize DBT artifacts for monitoring, and explore tools like Elementary for enhanced observability and reporting on test results and model performance. This knowledge is essential for data engineers and analysts looking to optimize their data workflows.

## Navigation

- Previous lesson: [Day 4 – Testing & Observability - part 1 (1h)](https://datagym.techexpert.io/lesson/6a235a54-ce4b-44fc-894a-e7ad9319da94day4testingobservabilitypart11h.md)
- Next lesson: [Day 5 – Incremental Models & WAP - part 1 (1h)](https://datagym.techexpert.io/lesson/7aba5781-130a-4a4c-9db9-c47d827816bdday5incrementalmodelswappart11h.md)