Google BigQuery Recipes
No limits in how Google BigQuery may be connected with your services and APIs using a time-saving approach.
These recipes may help you to get started with the use of Google BigQuery in YepCode. Some ideas:
- Build your ETLs with other databases
- Push information from your database to any API (or viceversa)
- Automate reports generation
- Perform selective backups
- …and much more!
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Showing 61 recipes
- Airtable to Google BigQuery
List records from Airtable table using them to insert rows into Google BigQuery table
- Amazon S3 CSV file to Google BigQuery
Read CSV file entries from Amazon S3 bucket using them to insert rows into Google BigQuery table
- AWS Redshift to Google BigQuery
Read rows from AWS Redshift table using them to insert rows into Google BigQuery table
- Clickhouse to Google BigQuery
Read rows from Clickhouse table using them to insert rows into Google BigQuery table
- Discord messages to Google BigQuery
Get Discord messages using them to insert rows into Google BigQuery table
- Factorial leaves to Google BigQuery
Get employee leaves from Factorial HR API using them to insert rows into Google BigQuery table
- Firebase Realtime Database to Google BigQuery
Read items from Firebase Realtime Database using them to insert rows into Google BigQuery table
- Google BigQuery to Airtable
Read rows from Google BigQuery table using them to create new records on Airtable table
- Google BigQuery to Amazon S3 CSV file
Read rows from Google BigQuery table using them to create CSV file entries in Amazon S3 Bucket
- Google BigQuery to Apollo.io contacts
Read rows from Google BigQuery table using them to create contacts using Apollo.io API
- Google BigQuery to AWS Redshift
Read rows from Google BigQuery table using them to insert rows into AWS Redshift table
- Google BigQuery to Clickhouse
Read rows from Google BigQuery table using them to insert rows into Clickhouse table
- Google BigQuery to Factorial employees
Read rows from Google BigQuery table using them to create employees using Factorial HR API
- Google BigQuery to Firebase Realtime Database
Read rows from Google BigQuery table using them to insert items into Firebase Realtime Database
- Google BigQuery to Google BigQuery
Read rows from Google BigQuery table using them to insert rows into Google BigQuery table
- Google BigQuery to Google Sheets
Read rows from Google BigQuery table using them to insert rows into Google Sheets table
- Google BigQuery to Google Storage CSV file
Read rows from Google BigQuery table using them to create CSV file entries in Google Storage Bucket
- Google BigQuery to GraphQL
Read rows from Google BigQuery table using them to call a GraphQL mutation
- Google BigQuery to Holded contacts
Read rows from Google BigQuery table using them to create contacts using Holded API
- Google BigQuery to Holded product stock
Read rows from Google BigQuery table using them to update product stocks using Holded API
- Google BigQuery to HubSpot contacts
Read rows from Google BigQuery table using them to create HubSpot contacts
- Google BigQuery to Kafka
Read rows from Google BigQuery table using them to send Kafka topic messages
- Google BigQuery to Keycloak users
Read rows from Google BigQuery table using them to create Keycloak users
- Google BigQuery to Microsoft SQL Server
Read rows from Google BigQuery table using them to insert rows into Microsoft SQL Server table
- Google BigQuery to MongoDB
Read rows from Google BigQuery table using them to insert documents into MongoDb collection
- Google BigQuery to MySQL
Read rows from Google BigQuery table using them to insert rows into MySQL table
- Google BigQuery to Oracle
Read rows from Google BigQuery table using them to insert rows into Oracle table
- Google BigQuery to Personio employees
Read rows from Google BigQuery table using them to create employees using Personio API
- Google BigQuery to Pipedrive persons
Read rows from Google BigQuery table using them to create persons in Pipedrive
- Google BigQuery to PostgreSQL
Read rows from Google BigQuery table using them to insert rows into PostgreSQL table
- Google BigQuery to RabbitMQ
Read rows from Google BigQuery table using them to send RabbitMQ messages
- Google BigQuery to REST API
Read rows from Google BigQuery table using them to calls a REST API endpoint
- Google BigQuery to Segment
Read rows from Google BigQuery table using them to send Segment track event
- Google BigQuery to Snowflake
Read rows from Google BigQuery table using them to insert rows into Snowflake table
- Google Sheets to Google BigQuery
Read rows from Google Sheets using them to insert rows into Google BigQuery table
- Google Storage CSV file to Google BigQuery
Read CSV file entries from Google Storage bucket using them to insert rows into Google BigQuery table
- GraphQL to Google BigQuery
Read a JSON array from one GraphQL API using them to insert rows into Google BigQuery table
- Holded documents to Google BigQuery
Get documents from Holded API using them to insert rows into Google BigQuery table
- HubSpot contacts to Google BigQuery
Get HubSpot contacts using them to insert rows into Google BigQuery table
- Microsoft SQL Server to Google BigQuery
Read rows from Microsoft SQL Server table using them to insert rows into Google BigQuery table
- MongoDB to Google BigQuery
Read documents from MongoDB collection using them to insert rows into Google BigQuery table
- MySQL to Google BigQuery
Read rows from MySQL table using them to insert rows into Google BigQuery table
- Notion pages to Google BigQuery
Get Notion pages using them to insert rows into Google BigQuery table
- Oracle to Google BigQuery
Read rows from Oracle table using them to insert rows into Google BigQuery table
- Pipedrive persons to Google BigQuery
Get persons from Pipedrive using them to insert rows into Google BigQuery table
- PostgreSQL to Google BigQuery
Read rows from PostgreSQL table using them to insert rows into Google BigQuery table
- Remote CSV file to Google BigQuery
Read CSV entries from a remote file using them to insert rows into Google BigQuery table
- REST API to Google BigQuery
Read a JSON array from one REST API using them to insert rows into Google BigQuery table
- Send Discord messages with Google BigQuery information
Read rows from Google BigQuery table using them to send Discord messages
- Send email with Google BigQuery information
Read rows from Google BigQuery table using them to send email messages
- Send Slack messages with Google BigQuery information
Read rows from Google BigQuery table using them to send Slack messages
- Send SMS using Twilio with Google BigQuery information
Read rows from Google BigQuery table using them to send SMS using Twilio
- Send SMS using Vonage API with Google BigQuery information
Read rows from Google BigQuery table using them to send SMS using Vonage API
- Send WhatsApp messages using Twilio with Google BigQuery information
Read rows from Google BigQuery table using them to send WhatsApp messages using Twilio
- Send WhatsApp messages using Vonage API with Google BigQuery information
Read rows from Google BigQuery table using them to send WhatsApp messages using Vonage API
- Send WhatsApp messages with template using Vonage API with Google BigQuery information
Read rows from Google BigQuery table using them to send WhatsApp messages with template using Vonage API
- Shopify orders to Google BigQuery
Get orders from Shopify API using them to insert rows into Google BigQuery table
- Snowflake to Google BigQuery
Read rows from Snowflake table using them to insert rows into Google BigQuery table
- Tinybird to Google BigQuery
Get Tinybird CSV endpoint entries using them to insert rows into Google BigQuery table
- Webhook to Google BigQuery
Uses a custom Webhook to read items payload using them to insert rows into Google BigQuery table
- ZoomInfo contacts to Google BigQuery
Get contacts from ZoomInfo API using them to insert rows into Google BigQuery table
FAQs
These recipes are a good starting point for you to build your own YepCode processes and solve your integration and automation problems.
YepCode is a SaaS platform that allows to create, execute and monitor integrations and automations using source code in a serverless environment.
We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript with a NodeJS engine.
You only have to fill the sign up form and your account will be created with our FREE plan (no credit card required).
YepCode has been created with a clear enterprise approach (multi-tenant environment, team management, high security and auditing standards, IdP integrations, on-premise options,...) so we can be the Swiss army knife of any team of engineering, especially those that need to extract or send information to external systems, and where a certain dynamism or adaptation to change is necessary in that process.
Sure! You just need to do some configuration to allow YepCode servers to connect to that service. Check our docs page to get more information.