Run dbt After Importing Data to Snowflake

Upload data directly to a table in Snowflake. Upon completion, run dbt models.

Run dbt After Importing Data to Snowflake

Solution Overview

dbt shouldn't be running in a silo. It's important that your models are processed immediately after the data they relate to is processed. With Shipyard, you can an interconnected workflow that uploads data to a table in Snowflake and immediately triggers a subset of your dbt models. This way, you can guarantee that your dbt models are only running once new data is loaded. If the Snowflake data runs into trouble, you can prevent the downstream dbt job from ever running.




dbt Core

Used for:

Data Pipelines

Data Transformation

Used by:

Analytics Engineer

Data Engineering

See it in Action

Watch the video below to see how quickly you can get this solution up and running in Shipyard!
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Build it Yourself in Under 5 Minutes

It's easy to
Run dbt After Importing Data to Snowflake
using Shipyard. Select the Blueprints you need, fill out a form, and connect everything together.

There's no code for you to touch or infrastructure for you to manage, but you can always incorporate your own code if you would like.

We do all of the heavy lifting so you can focus on building more data solutions for your business.


Create a New Fleet
Click on "New Fleet" anywhere in the application and select a Project.


Select a Blueprint
Search for
Snowflake - Upload File to Table from Shipyard
dbt - Execute Command
Blueprints and fill out the required fields.


Drag and Drop Vessels
Drag and Drop to connect your Vessels together.


Set Triggers
Create schedule or webhook Triggers to automate your work.

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dbt Core

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dbt Core
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dbt Core

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