Connect CSV and BigQuery integrations
Connect CSV and BigQuery with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like CSV and BigQuery to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
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.
Retrieves results of a specified query.
Performs an arbitrary authorized API call.
Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
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.
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.
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Build your CSV and BigQuery integrations.
Create custom CSV and BigQuery workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Merges selected text items and returns them in the CSV format.
Merges selected text items and returns them in the CSV format. Employs Data structure to define CSV columns in the resulting CSV file.
Creates a new dataset.
Creates a new, empty table in the dataset.
Deletes the dataset specified by ID.
Deletes the table specified by ID.
Retrieves results of a specified query.
Returns the dataset specified by dataset ID.
Gets the specified table resource by table ID.
Connect any app with CSV and BigQuery
Popular CSV and BigQuery workflows.
Looking to get more out of CSV and BigQuery? With Make you can visually integrate CSV and BigQuery into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Upload CSV files to AWS S3 from Google Sheets content
Automatically upload Google Sheets data as CSV files to AWS S3, streamlining data management and storage across platforms with this Make template.
TRY IT ->Send a message to Slack for every new query result written to Google BigQuery
Automatically send a Slack message for every new query result written to Google BigQuery, keeping your team updated in real-time.
TRY IT ->New lead intake Email with CSV summary
Easily set up an automated workflow for lead processing using this versatile template. It allows you to collect lead information, generate a CSV file, and send a summary email. Whether you need to capture leads, process orders, or manage new client sign-ups, you can tailor this setup to fit your needs and swap in your preferred apps. Expand this workflow by integrating it with other tools like a CRM or database for better tracking and follow-up. To test it, you can use the [Random User API](https://randomuser.me) for generating sample lead data. This setup is great for keeping your team updated on new leads or orders while reducing manual tasks.
TRY IT ->Fetch Facebook ad account insights and write to Google BigQuery
Automatically fetch Facebook ad account insights and write them to Google BigQuery for streamlined data analysis and reporting.
TRY IT ->Send data to Google BigQuery from a custom webhook
Streamline your data management process by automatically sending data from a custom webhook to Google BigQuery. This template allows you to capture incoming data through a Gateway Custom WebHook and seamlessly write it to your Google BigQuery database, ensuring that your data is organized and easily accessible for analysis. Perfect for businesses looking to enhance their data analytics capabilities without manual intervention.
TRY IT ->Add new Airtable records to Google BigQuery
Streamline your data management process by automatically transferring records from Airtable to Google BigQuery. With this template, every time a new record is added in Airtable, Make will create a corresponding row in Google BigQuery, ensuring your data is always up-to-date and easily accessible for analysis. This integration helps you maintain a seamless workflow between your project management and data analytics tools, enhancing your team's productivity and decision-making capabilities.
TRY IT ->Add new rows to Google BigQuery from a custom webhook
Streamline your data management process by automatically adding new entries to Google BigQuery whenever a custom webhook is triggered. This template allows you to efficiently capture and store data from various sources, ensuring that your analytics and reporting are always up-to-date. Perfect for developers and data analysts looking to enhance their data workflows without manual intervention.
TRY IT ->Analyze articles with Google Natural Language and save the results as a CSV file
Every time a new article is created in an RSS feed, Make will automatically analyze the text content. Then, the results are iterated and saved as a CSV file in your Google Drive folder.
TRY IT ->Transfer employee data from Personio to BigQuery for advanced reporting and analysis.
Easily transfer employee data from Personio to BigQuery, enabling comprehensive reporting and in-depth analysis, while improving HR analytics and data-driven decision-making.
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