How do I connect Google BigQuery?

Sign up for Conductor Deck, then add a Google BigQuery step to a workflow on the visual canvas. The builder walks you through the connection it needs — an account authorization or the required keys — right inside the step. No separate setup or code.

Yes — Conductor Deck has a free tier you can build and run workflows on, with no credit card required. Paid plans raise the monthly run limits and add advanced features when you need them.

What's the difference between a trigger and an action?

A trigger is the event that starts a workflow — for example, a Stream Deck button press or an incoming event from a connected app. An action is a step the workflow performs once it runs. A workflow is one trigger followed by one or more actions.

Google BigQuery + Stream Deck

databases · analytics · 0 triggers · 63 actions

Google BigQuery is a fully managed data warehouse for large-scale data analytics, offering fast SQL queries and machine learning capabilities on massive datasets Add Google BigQuery to your Stream Deck workflows with guided setup for the connection details it needs.

Build a Google BigQuery workflow — free See how it works

No code
Free tier
One Stream Deck press
Pairs with OBS & Elgato tools
OAuth & keys handled in-builder

Popular ways to use Google BigQuery

Add Google BigQuery to a workflow and pair it with a Stream Deck button to run it in one press — handy for databases tasks. Combine it with OBS, your Elgato tools, or any other app you connect to build a routine that fits how you work.

Browse all templates

Triggers & actions

Steps your workflow can perform in Google BigQuery.

Create Analytics Hub Listing

Tool to create a new listing in a BigQuery Analytics Hub data exchange. Use when you need to share a BigQuery dataset with specific subscribers or make it available for discovery. The dataset must exist and be in the same region as the data exchange.

Create BigQuery Dataset

Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Use when the workflow needs to set up a staging/warehouse dataset and correctness of region is critical to avoid downstream job location mismatches. Surfaces 409 Already Exists errors cleanly without retrying.

Create BigQuery Routine

Tool to create a new user-defined routine (function or procedure) in a BigQuery dataset. Use when you need to define SQL, JavaScript, Python, Java, or Scala functions/procedures for reusable logic, data transformations, or custom masking. Supports scalar functions, table-valued functions, procedures, and aggregate functions with comprehensive type definitions.

Create BigQuery Table

Tool to create a new, empty table in a BigQuery dataset. Use when setting up data infrastructure for standard tables, external tables, views, or materialized views. Supports partitioning, clustering, and encryption configuration.

Delete BigQuery Dataset

Tool to delete a BigQuery dataset specified by datasetId via the datasets.delete API. Before deletion, you must delete all tables unless deleteContents=True is specified. Use when cleaning up test datasets or removing unused data warehouses. Immediately after deletion, you can create another dataset with the same name.

Delete BigQuery ML Model

Tool to delete a BigQuery ML model from a dataset. Use when you need to remove a trained machine learning model permanently. The operation deletes the model and cannot be undone.

Delete BigQuery Table

Tool to delete a BigQuery table from a dataset. Use when you need to remove a table and all its data permanently. The operation deletes all data in the table and cannot be undone.

Get BigQuery Dataset Metadata

Tool to retrieve BigQuery dataset metadata including location via the datasets.get API. Use this before creating jobs/queries if the workflow has been failing with location mismatch to confirm the dataset's region and correct the job location accordingly.

About Google BigQuery

Google BigQuery is a fully managed data warehouse for large-scale data analytics, offering fast SQL queries and machine learning capabilities on massive datasets

databasesanalytics

How to connect

Sign up for free

Create your Conductor Deck account: no credit card required.

Connect Google BigQuery

Follow the setup prompts for Google BigQuery. Conductor Deck handles the app authorization or required connection details inside the workflow builder.

Build a workflow

Add a Google BigQuery action to your visual workflow canvas. Configure the options you need, then connect it to other steps.

Assign to Stream Deck

Sync your workflow to any Stream Deck button. Press once to trigger the entire sequence.

Frequently asked questions

How do I connect Google BigQuery?: Sign up for Conductor Deck, then add a Google BigQuery step to a workflow on the visual canvas. The builder walks you through the connection it needs — an account authorization or the required keys — right inside the step. No separate setup or code.
Is it free?: Yes — Conductor Deck has a free tier you can build and run workflows on, with no credit card required. Paid plans raise the monthly run limits and add advanced features when you need them.
What's the difference between a trigger and an action?: A trigger is the event that starts a workflow — for example, a Stream Deck button press or an incoming event from a connected app. An action is a step the workflow performs once it runs. A workflow is one trigger followed by one or more actions.

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