Data Engineering with dbt

Table of Contents

1. Basics of SQL to transform data
2. Setting up your dbt Cloud development environment
3. Data modelling for data engineering
4. Analytics Engineering as the New Core of Data Engineering
5. Transforming data with dbt
6. Writing Maintainable Code
7. Working with Dimensional Data
8. Delivering Consistency In Your Code
9. Delivering Reliability In Your Data
10. Agile development
11. Collaboration
12. Deployment, Execution and Documentation Automation
13. Moving beyond basics
14. Enhancing Software Quality
15. Patterns for frequent use cases