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Automating Record Export to BigQuery: Best Practices Without CSVs
Hi, what is the best way for exporting records from a table to BigQuery? I want to automate this as much as possible and would prefer not to rely on CSVs in any way.
Hi, what is the best way for exporting records from a table to BigQuery? I want to automate this as much as possible and would prefer not to rely on CSVs in any way.
You can use Clay's webhooks table feature to programmatically send data to BigQuery. This allows for automated data transfer without relying on CSV exports. For enterprise customers, passthrough tables can be particularly useful for handling high volumes of data, as they: 1. Send data to Clay 2. Process and enrich the data 3. Forward it to your destination (BigQuery) 4. Automatically delete the original entries from the Clay table This approach helps maintain efficient data flow while keeping your tables manageable. Integration platforms can be used to manage the authentication process with BigQuery, ensuring smooth data synchronization without token expiration issues.
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Forward it to your destination (BigQuery)
What does that step actually look like? The documentation you sent describes a different scenario.
For passthrough tables, the data transfer to BigQuery happens through API integration after the following process: 1. First, your data enters Clay through webhooks and gets enriched 2. After a 60-second interval, Clay reviews the table and identifies rows ready for passthrough when: • The table exceeds 5,000 rows • All enrichment processes are complete 3. The selected rows are then automatically transmitted to BigQuery via API integration 4. Once the transfer is confirmed successful, the original rows are deleted from the Clay table Note: This is an enterprise-only feature and only works with data added via webhooks, not with CSV uploads or bulk imports.
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BigQuery via API integration
Do you have any documentation on that?
You can use Clay's HTTP API integration to send data to BigQuery. While we don't have a native BigQuery integration, you can set up a custom HTTP API connection by: 1. Using the HTTP API integration column in Clay 2. Configuring the BigQuery API endpoint URL 3. Setting up the appropriate authentication and request parameters 4. Defining the specific fields you want to send The HTTP API integration allows you to specify: ** The API endpoint URL ** Query string parameters ** Request headers (Content-Type will always be application/json) ** Field paths to return * Auto-update settings for keeping data in sync Note that Clay doesn't have exposed API endpoints for direct external queries. The workflow involves: 1. Sending input data to Clay via webhooks 2. Processing/enriching the data within Clay 3. Using the HTTP API integration to send the output to BigQuery
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Hey Yanic - This is definitely possible but its not something we currently have documentation on. You may be able to do it with the HTTP API connection, but would likely take some work. Do you use any other ETL tool (i.e. Fivetran) to pipe data into BQ currently?