An automated workflow using zapier
Connects Google BigQuery + Slack
Post new messages to a Slack channel once Google BigQuery successfully complete
About this workflow template
This automation scenario allows you to connect Google BigQuery and Slack
It can be build using Zapier, a no-code workflow automation tool. Zapier allows you to create automated scripts using a simple drag-and-drop interface for non-technical users. This is a ready-made scenario, but it can be customized by adding more apps, actions, filters or branches.
Google BigQuery and Slack can also be integrated using automation tools other than zapier:
Diagram
How it works?
When this trigger fires in Google BigQuery
Query Job Completed (With Row Data) in Google BigQuery
Triggers when a query job has completed processing successfully.
Then this action happens in Slack
Send Channel Message in Slack
Post a new message to a specific #channel you choose. Can also schedule a message for later.
How to set up this workflow
This guide contains information on how to set up an automatic workflow that allows to Post new messages to a Slack channel once Google BigQuery successfully complete.
Part I
Configure Applications
First, we need to connect Google BigQuery and Slack to Zapier.
Create Zapier account.
Create Zapier account if you don't have one.
Connect Google BigQuery to Zapier.
Give Zapier access to your Google BigQuery account, using Google BigQuery credentials.
Connect Slack to Zapier.
Give Zapier access to your Slack account, using Slack credentials.
Part II
Build an integration workflow
Next, we need to create a workflow automation scenario using graphical no-code web interface of Zapier.
Set up a Trigger action for Google BigQuery
Choose the following trigger: Query Job Completed (With Row Data) (Triggers when a query job has completed processing successfully.).
Then set up an Action for Slack
Choose this action: Send Channel Message (Post a new message to a specific #channel you choose. Can also schedule a message for later.).
Part III
Test and Publish
Finally, we need to test this automation and publish it.
Customize data flow
Configure the data that is exchanged between Google BigQuery and Slack.
Test the workflow and turn it on for production use
Test your scenario and publish to production. Now you have an automatic workflow, that will Post new messages to a Slack channel once Google BigQuery successfully complete!
Supported triggers and actions
New message in channels (instant)
New message in channels (instant)
triggerbypipedreamNew message posted to channel
Triggers when a new message is posted to a specific #channel you choose.
triggerbyzapierNew saved message
Triggers when you save a message.
triggerbyzapierNew pushed message
Triggers when you click the "Push to Zapier" button from a message in Slack.
triggerbyzapierNew user
Triggers when a new Slack user is created / first joins your org.
triggerbyzapierpabbly-connectalbatoNew mention
Triggers when a username or highlight word is mentioned in a public #channel.
triggerbyzapier
Create row
Creates a new row of data in a table. *Note:* Does not create a job.
actionbyzapierintegratelyCreate a table
Creates a new, empty table in the dataset.
actionbyintegromatUpload data (streaming)
Creates a new row of data in a table.
actionbyintegromatCreate rows
Creates new rows of data in a table (accepts line items). *Note:* Does not create a job.
actionbyzapierCreate a dataset
Creates a new dataset.
actionbyintegromatDelete a dataset
Deletes the dataset specified by ID.
actionbyintegromat
Apps you need
Slack is the go-to platform for modern teams seeking seamless communication and collaboration. With everything in one easily searchable place, including channels, integrations, and tools, Slack keeps your team aligned and productive.
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