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

> Testing and observability in data engineering are crucial for ensuring data quality and reliability. This lesson covers building and custom tests in DBT, including data tests and unit tests, and how to monitor data using tools like Elementary and DBT artifacts. Participants will learn to implement…

- Web page: https://datagym.techexpert.io/lesson/6a235a54-ce4b-44fc-894a-e7ad9319da94day4testingobservabilitypart11h
- 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, MLOps, Data Modeling, ETL/ELT, dbt
- Academy: DataGym.io

## About this lesson

Testing and observability in data engineering are crucial for ensuring data quality and reliability. This lesson covers building and custom tests in DBT, including data tests and unit tests, and how to monitor data using tools like Elementary and DBT artifacts. Participants will learn to implement various testing strategies, understand the differences between data and unit tests, and explore built-in and custom test configurations, benefiting data engineers looking to enhance their data validation processes.

## Navigation

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- Next lesson: [Day 4 – Testing & Observability - part 2 + Quiz (1h)](https://datagym.techexpert.io/lesson/053758f4-66a9-4ced-9583-d61bc030f5fdday4testingobservability2h.md)