Execute Command

Using

dbt Core

in Minutes

With the power of Shipyard's Blueprint Library, you can integrate every tool in your data stack without having to write any code. Drive value from your data and get it moving at record speed!

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dbt - Execute Command

Blueprint Overview

Data Management

Native Integration

Native Integration

Instantly run any dbt CLI Command like dbt run, dbt test, or dbt compile. Sync with Github to always run the latest code for your dbt project.

Blueprint Documentation

Build Something Amazing

Popular Solutions & Uses Cases that

Execute Command

Using

dbt Core

Get common data workflows up and running in a matter of minutes, not hours. Mix and match the tools you use every day to get your data in the hands of end users quicker.

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Run a Hex Project After a dbt Core Job

Run a Hex Project after a dbt Core Job finishes running

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Execute dbt Core Job and Download a Query from Redshift as a CSV

Execute a dbt Core Job and Download a Query from Redshift as a CSV

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Execute dbt Core Job and Download a Query from Snowflake as a CSV

Execute a dbt Core Job and Download a Query from Snowflake as a CSV

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Execute dbt Core Job and Download a Query from BigQuery as a CSV

Execute a dbt Core Job and Download a Query from BigQuery as a CSV

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Trigger a Rudderstack Sync After a dbt Core Run

Start a Sync in Rudderstack the Moment Data is Ready from dbt

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Trigger a Tableau Datasource Refresh After a dbt Core Run

Start a Sync in Tableau the Moment Data is Ready from dbt

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Refresh a Domo Dataset After a dbt Core Run

Refresh your Datset in Domo the Moment Data is Ready from dbt

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Trigger a Census Sync After a dbt Core Run

Start a Sync in Census the Moment Data is Ready from dbt

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Trigger a Hightouch Sync After a dbt Core Run

Start a Sync in Hightouch the Moment Data is Ready from dbt

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Download a File from Databricks After a dbt Core Run

Execute a dbt Core Job and Download a File from Databricks

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Trigger a Report Refresh in Mode After a dbt Core Run

Refresh your Report in Mode the Moment Data is Ready from dbt

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Upload dbt Core Artifacts to Google Cloud Storage

Upload your dbt artifcat files directly to Google Cloud Storage after running dbt Core.

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Run dbt Core After Verifying Data Loads in MySQL

Execute DBT immediately after running a query in MySQL to verify that data exists.

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Run dbt Core After Verifying Data Loads in PostgreSQL

Execute DBT immediately after running a query in PostgreSQL to verify that data exists.

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Run dbt Core After Verifying Data Loads in Microsoft SQL Server

Execute DBT immediately after running a query in Microsoft SQL Server to verify that data exists.

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Run dbt Core After Verifying Data Loads in Snowflake

Execute DBT immediately after running a query in Snowflake to verify that data exists.

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Run dbt Core After Verifying Data Loads in bit.io

Execute DBT immediately after running a query in bit.io to verify that data exists.

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Run dbt Core After Verifying Data Loads in Amazon Redshift

Execute DBT immediately after running a query in Amazon Redshift to verify that data exists.

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Run dbt Core After Verifying Data Loads in Google BigQuery

Execute DBT immediately after running a query in Google BigQuery to verify that data exists.

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Run dbt Core After Importing Data to MySQL

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

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Run dbt Core After Importing Data to PostgreSQL

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

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Run dbt Core After Importing Data to Microsoft SQL Server

Upload data directly to a table in Microsoft SQL Server. Upon completion, run dbt models.

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Run dbt Core After Importing Data to Snowflake

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

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Run dbt Core After Importing Data to bit.io

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

Explore Additional

dbt Core

Blueprints

Our code-grown templates form the building blocks for connecting

dbt Core

to the rest of your data stack.

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dbt - Execute Command

Blueprint Overview

Data Management

Instantly run any dbt CLI Command like dbt run, dbt test, or dbt compile. Sync with Github to always run the latest code for your dbt project.

• Get up and running in under 60 seconds.

• Connect with any app using our visual editor.

• Automatic infrastructure scaling to handle data of any size.

View the code on Github

Read our in-depth documentation

Connect with these Blueprints

Fivetran - Check Sync Status

Check for the most recent status of a connector on Fivetran.

Fivetran - Execute Sync and Check Status

Sync a connector in Fivetran and check for the status every 30 seconds. Once the status is confirmed to be completed, the script will stop and reflect the results of the sync.

Fivetran - Update Connector

Update the settings of a connector in Fivetran, such as the schedule type, status, or configuration.

Rudderstack - Check Sync Status

Check for the status of a Rudderstack source.

Rudderstack - Trigger Sync

Immediately execute a sync of a Rudderstack source. This can kick off either an ETL or a reverse ETL job.

dbt Cloud - Check Run Status

Check the status of an existing run in the dbt Cloud interface. Return an exit code that mirrors the status of the run.

Open Source Integrations

Want to see under the hood? All of our Blueprints are open-source for greater transparency and portability. Check out the CLIs that power our

dbt Core

Blueprints, create issues, make tweaks, and contribute to the end product.

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Deploy Ridiculously Fast

You can get any solution up and running in 5 minutes.

Build Without Limits

With 60+ Low-Code Templates and the ability to run your own scripts, any solution is possible.

Gain Peace of Mind

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Our cloud-native, serverless platform scales your workflows automatically.

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Experience how quickly you can build data workflows with

dbt Core

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Connect with the Modern Data Stack

Amazon Redshift

Azure Blob Storage

Data Observability

Artificial Intelligence

Project Management

Machine Learning

Artificial Intelligence

Data Observability

Data Observability

Data Management

Data Visualization

Data Management

Data Visualization

Google BigQuery

Google Cloud Storage

Data Management

Project Management

Machine Learning

Data Visualization

Data Visualization

Data Visualization

Data Observability

Microsoft SQL Server

Microsoft Teams

Data Visualization

Data Observability

Project Management

Machine Learning

Data Visualization

Data Visualization

Machine Learning

Data Management

Machine Learning

Machine Learning

Data Visualization

Data Management

Project Management

Data Visualization

Data Management

Data Visualization

Data Observability

Data Visualization

Machine Learning

Data Visualization

Project Management

Artificial Intelligence

Data Management

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