Get my Modern Data Essentials training (for free) & start building more reliable data architectures
ModernDataCommunity.com
-----
We all start our dbt models by staring at a blank sql file.
And depending on what you do next will significantly impact how your project turns out.
In today’s video I want to share with you the easy 4 step process I follow when building dbt models and how this simple approach can save you tons of time in both development and long term maintenance.
Timestamps:
0:00 - Intro
0:34 - Imports
1:44 - Custom Logic
2:28 - "final" CTE
3:04 - select *
3:56 - Final Thoughts
Title & Tags:
A simple 4-step process for creating dbt models | dbt tutorial for beginners
#kahandatasolutions #dataengineering #databuildtool
- A simple 4-step process for creating dbt models ( Download)
- Getting Started With dbt | Create And Set Up Data Models ( Download)
- How do EPHEMERAL dbt models work ( Download)
- How to Install DBT and Set Up a Project, Create Your First dbt Model ( Download)
- dbt (data build tool) Crash Course For Beginners (dbt Core) | Full Tutorial ( Download)
- What are dbt models | data build tool ( Download)
- 5 Tips to Improve Your dbt Project ( Download)
- Intro to Data Build Tool (dbt) // Create your first project! ( Download)
- How to structure your project in data build tool (dbt) | Tutorial for beginners ( Download)
- What are intermediate models in dbt ( Download)
- Create a Python model in dbt(data build tool) - Step by Step Explanation ( Download)
- DBT Models - How to Build Scalable Data Pipelines with data build tool ( Download)
- How to create first SQL dbt Model & Project in dbt(data build tool) ( Download)
- Models in dbt(Data Build Tool) ( Download)
- DBT Tests | Data Build Tool | Singular | Generic | Custom | Prebuild | Source Freshness ( Download)