#Etl processes amazon job password#

Subscribe to the CData Glue Connector for Amazon DynamoDB

Record the secret name, which is used when configuring the connection in AWS Glue Studio.

Add any additional private credential key-value pairs required by the CData Glue Connector for Amazon DynamoDBįor more information about creating secrets, see Creating and Managing Secrets with AWS Secrets Manager in the AWS Secrets Manager User Guide.

#Etl processes amazon job password#

Username: account user (for example, Password: account password.Once you know which properties you wish to store, create a key-value pair for each property. You can read more about the required properties to connect to Amazon DynamoDB in the 'Activate' section below.This option means you must supply the structure and details of your secret. On the Store a new secret page, choose Other type of secret.

On either the service introduction page or the Secrets list page, choose Store a new secret.Sign in to the AWS Secrets Manager console.Cross-region secret retrieval is not supported Note: You must host your AWS Glue ETL job and secret in the same region. To safely store and use your connection properties, you can save them in AWS Secrets Manager. (Optional) Store Amazon DynamoDB Connection Properties Credentials in AWS Secrets Manager Make a note of the necessary properties for use with the CData Glue Connector for Amazon DynamoDB. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. The credential retrieved from AWS Secrets Manager (a string of key-value pairs) is used in the JDBC URL used by the CData Glue Connector when connecting to the data source, as shown above.Ĭollect Amazon DynamoDB Connection Properties 'arn:aws:secretsmanager:us-west-2:111122223333:secret:aes256-7g8H9i'įor more information about granting access to AWS Glue Studio and Glue Jobs, see Setting up IAM Permissions for AWS Glue in the AWS Glue documentation.įor more information about granting access to the Amazon S3 buckets, see Identity and access management in the Amazon Simple Storage Service Developer Guide.įor more information on setting up access control for your secrets, see Authentication and Access Control for AWS Secrets Manager in the AWS Secrets Manager documentation and Limiting Access to Specific Secrets in the AWS Secrets Manager User Guide. AmazonS3FullAccess (For reading from and writing to Amazon S3)Īnd lastly, if you will be using AWS Secrets Manager to store confidential connection properties (see more below), you will need to add an inline policy similar to the following, granting access to the specific secrets needed for the Glue Job:.If you will be accessing data found in Amazon S3, add: AmazonEC2ContainerRegistryReadOnly (For accessing the CData AWS Glue Connector for Amazon DynamoDB).AWSGlueServiceRole (For accessing Glue Studio and Glue Jobs).The following policies should be added to the IAM role for the AWS Glue job, at a minimum:

The role must also grant access to the CData Glue Connector for Amazon DynamoDB from the AWS Glue Marketplace. The role must grant access to all resources used by the job, including Amazon S3 for any sources, targets, scripts, temporary directories, and AWS Glue Data Catalog objects. When you create the AWS Glue job, you specify an AWS Identity and Access Management (IAM) role for the job to use. In this article, we walk through configuring the CData Glue Connector for Amazon DynamoDB and creating and running an AWS Glue job that works with live Amazon DynamoDB data. With Glue Studio, you can build no-code and low-code ETL jobs that work with data through CData Glue Connectors. AWS Glue is an ETL service from Amazon that allows you to easily prepare and load your data for storage and analytics.