Integromat will automate processes that you currently handle manually. It is not only capable of connecting apps but can also transfer and transform data. It works 24 hours a day, seven days a week and does not require your intervention. Simply set Integromat to do what you want and let it work for you. Save your time!
This template helps you schedule BigQuery SQL queries. The scenario can be set up to run at regular intervals (every hour, day, week or on a specific date).
Every time a new job has been completed in BigQuery, Integromat will automatically send an email via Gmail.
Triggers when a new email is received to be processed according to specified criteria.
Triggers when a query job has completed processing successfully or unsuccessfully.
Triggers when a new table is created in a dataset.
Copies an email or a draft into a selected folder.
Creates a new draft and adds it to a selected folder.
Removes an email or a draft from a selected folder.
Marks an email or a draft in a selected directory as read by setting the "Read" flag.
Marks an email or draft in a selected directory as unread by setting the "Unread" flag.
Modifies labels on the specified email message.
Moves a chosen email or a draft to a selected folder.
Sends a new email.
Creates a new dataset.
Creates a new, empty table in the dataset.
Deletes the dataset specified by ID.
Deletes the table specified by ID.
Returns the dataset specified by dataset ID.
Gets the specified table resource by table ID.
Performs an arbitrary authorized API call.
Updates information in an existing dataset.
Updates information in an existing table.
Uploads a new file.
Creates a new row of data in a table.
Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
Iterates through received attachments.
Lists all datasets in the specified project to which the user has been granted the READER dataset role.
Lists all jobs that user started in the specified project.
Lists the content of a table in rows.
Lists all tables in the specified dataset.
