Read Using server-side encryption with Amazon S3-managed encryption keys (SSE-S3) to learn more. SSE S3: Encrypt the data according to a key stored on an S3 bucket. Read AWS Key Management Service (AWS KMS) to learn more. SSE KMS: Encrypt the data according to a key stored on KMS. Read Protecting data using client-side encryption to learn more. ![]() This property is available when using an existing Amazon S3 location for staging.Ĭlient Side Encryption: Encrypt the data according to a client-side master key. ![]() All unloads are parallel and will use the maximum number of nodes available at the time.ĭecide how the files are encrypted inside the S3 bucket. Each file will be named as the prefix followed by a number denoting which node this was unloaded from. This works in the same manner as the Go button.įilename prefix for unloaded data to be named on the S3 bucket. When a user enters a forward slash character / after a folder name, a validation of the file path is triggered. The name of the file for data to be unloaded into. Otherwise, "Custom" can be chosen for the staging to be based on the component's properties. These stages must be created from your Snowflake account console. The user must type in the bucket they want to access or use a variable to load/unload to those structures.Ĭhoose a predefined stage for your data.Set up cross-account access via AWS roles.To access an S3 bucket from a different AWS account, the following is required: ![]() However, S3 Unload sacrifices some of the added functionality that comes from Text Output pulling the data through the Matillion ETL instance (such as adding column headers to each file). Since S3 Unload unloads data in parallel directly from Amazon Redshift to S3, it tends to be faster than using Text Output. Creates files on a specified S3 bucket, and load them with data from a table or view.įor Snowflake users: by default, your data will be unloaded in parallel.įor Amazon Redshift users: your data will be unloaded in parallel by default, creating separate files for each slice on your cluster.įor Amazon Redshift users: this component is similar in effect to the Text Output component.
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