Learn about Catalog and how to interact with it to understand, improve, and leverage your dbt projects.| docs.getdbt.com
Reference guide for configuring the dbt_project.yml file.| docs.getdbt.com
Learn how good documentation for your dbt models helps stakeholders discover and understand your datasets.| docs.getdbt.com
Understand the role of dbt models transforming your data into analytics-ready datasets.| docs.getdbt.com
Every time dbt Cloud runs a project, it generates and stores information about the project. The metadata includes details about your project’s models, sources, and other nodes along with their execution results. With the dbt Cloud Discovery API, you can query this comprehensive information to gain a better understanding of your DAG and the data it produces.| docs.getdbt.com
Data pipelines built (and added on to) without a solid foundation will suffer from poor efficiency, slow development speed, long times to triage production issues, and hard testability. What if your data pipelines are elegant and enable you to deliver features quickly? An easy-to-maintain and extendable data pipeline significantly increase developer morale, stakeholder trust, and the business bottom line! Using the correct design pattern will increase feature delivery speed and developer valu...| www.startdataengineering.com