Amazon S3 + Snowflake
Amazon S3 + Snowflake
Amazon S3 + Snowflake integrations
Execute sqls in Snowflake for new or updated files in Amazon S3
This workflow allows you to manage your Amazon S3 files more efficiently by interacting with Snowflake. When a file in Amazon S3 is updated or newly created, it instantly triggers the execution of an SQL command in Snowflake. This lightens your load of manual work and enhances data analysis, offering a streamlined way to control and respond to changes in your Amazon S3 content.
- When this happens...New or Updated FileTriggers when you add or update a file in a specific bucket. The bucket must contain less than 10,000 total files.
- automatically do this!Execute SQLExecute SQL and output resulting rows of data.
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More things you can do with Amazon S3 and Snowflake
Discover other triggers and actions you can use with Amazon S3 and Snowflake
- New Bucket
Triggers when you add a new bucket.
Try ItTriggerPolling - Bucket NameRequired
ActionWrite- Bucket_name
- KeyRequired
- Keep_leading_slash
- ContentRequired
ActionWrite- The table to look for new columns on.Required
Try ItTriggerPolling
- BucketRequired
- Folder
Try ItTriggerPolling- Bucket_name
- KeyRequired
- Keep_leading_slash
- FileRequired
- Mimetype
ActionWrite- S3 UrlRequired
ActionSearch- SQL StatementRequired
- Primary Key
Try ItTriggerPolling
About Amazon S3
Amazon Simple Storage Service is a fully redundant data storage system. It makes it easy to store and retrieve any amount of data, anytime, from anywhere.
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About Snowflake
Snowflake allows corporate users to store and analyze data using cloud-based hardware and software.