Popular Google BigQuery + Telegram Workflows
When New hot post in subreddit in Reddit > Create row in Google BigQuery > Unpin a message in Telegram
When New hot post in subreddit in Reddit > Create row in Google BigQuery > Send a message in Telegram
When Pin is created in Pinterest > Create row in Google BigQuery > Forward a message in Telegram
When Pin is created in Pinterest > Create row in Google BigQuery > Pin a message in Telegram
When Pin is created in Pinterest > Create row in Google BigQuery > Unpin a message in Telegram
When Pin is created in Pinterest > Create row in Google BigQuery > Send a message in Telegram
When Post is created in PeerBoard > Create row in Google BigQuery > Forward a message in Telegram
When Post is created in PeerBoard > Create row in Google BigQuery > Pin a message in Telegram
When Post is created in PeerBoard > Create row in Google BigQuery > Unpin a message in Telegram
When Post is created in PeerBoard > Create row in Google BigQuery > Send a message in Telegram
When Post is published successfully in Metricool > Create row in Google BigQuery > Forward a message in Telegram
When Post is published successfully in Metricool > Create row in Google BigQuery > Pin a message in Telegram
When Post is published successfully in Metricool > Create row in Google BigQuery > Unpin a message in Telegram
When Post is published successfully in Metricool > Create row in Google BigQuery > Send a message in Telegram
When Post is created in community in GroupApp > Create row in Google BigQuery > Forward a message in Telegram
When Post is created in community in GroupApp > Create row in Google BigQuery > Pin a message in Telegram
When Post is created in community in GroupApp > Create row in Google BigQuery > Unpin a message in Telegram
When Post is created in community in GroupApp > Create row in Google BigQuery > Send a message in Telegram
When Get a reminder before the booking in YouCanBook.Me > Create row in Google BigQuery > Send a message from Telegram
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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.
See Google BigQuery IntegrationsTelegram is a cloud-based instant messaging and voice over IP service with a focus on security and speed. It allows you to send messages, photos, videos and files of any type.
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