Popular Google BigQuery + Trengo Workflows
When Post is created in Beamer > Create row in Google BigQuery > Send a message in Trengo
When New subscription is created in Inoreader > Create row in Google BigQuery > Send a message in Trengo
When Blog is created in Shopify > Create row in Google BigQuery > Send a message in Trengo
When Article for a blog is created (Blog Entry) in Shopify > Create row in Google BigQuery > Send a message in Trengo
When Post is created in WordPress > Create row in Google BigQuery > Send a message in Trengo
When Content is created in The Guardian > Create row in Google BigQuery > Send a message in Trengo
When New inbound message is added in Trengo > Create row in Google BigQuery > Create card in Ora
When New inbound message is added in Trengo > Create row in Google BigQuery > Create card in Pipefy
When New inbound message is added in Trengo > Create row in Google BigQuery > Create story in Pivotal Tracker
When New inbound message is added in Trengo > Create row in Google BigQuery > Create story in Shortcut (Clubhouse)
When New inbound message is added in Trengo > Create row in Google BigQuery > Create item in Zenkit
When New inbound message is added in Trengo > Create row in Google BigQuery > Create To-do in Basecamp 3
When New inbound message is added in Trengo > Create row in Google BigQuery > Create card in Trello
When New inbound message is added in Trengo > Create row in Google BigQuery > Create feature in Productboard
When New inbound message is added in Trengo > Create row in Google BigQuery > Create card widget in Miro
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Google BigQuery is a serverless, highly scalable, and cost-effective cloud data warehouse. It is an enterprise-grade, highly secure service built to analyze massive datasets using SQL queries. It helps power insights from your data across clouds.
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