Skip to main content

Querying data in a cloud file through a materialized view and a Snowflake external table

For more technologies supported by Talend, see Talend components.

Data in Snowflake is maintained in databases. You can query this data by using:
  • External tables, which reference data files located in a cloud storage. These tables stores file-level metadata (such as the filename, a version identifiers, and other properties) about a data file stored in an external stage, thus providing users a database table interface for querying the data in the file. For information about the Snowflake external table feature, see

  • Materialized views, which store pre-computed data derived by a query. Since the data is pre-computed, querying a materialized view is faster than executing the original query. For information about the Snowflake materialized view feature, see
This scenario describes the way to query data in a file stored in AWS S3 bucket through a Snowflake external table and a materialized view. It assumes that:
  • You have a valid Amazon S3 user account.

  • The data file (log1.json in this example) is in the logs folder under your S3 bucket named S3://my-bucket.
  • You have a valid Snowflake user account.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!