# ADVSUS04-BP01 Use batch processing for data cleansing and enrichment to create customer profiles
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 Use batch processing for data cleansing and customer profile enrichment in advertising workloads. Schedule the batch jobs during periods of lowest carbon consumption to minimize resource usage and environmental impact. 

## Implementation guidance
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+  For workloads like privacy-enhanced data collaboration that involve data cleansing, enrichment, and customer profile creation, implement batch processing architectures to minimize resource usage. 
+  Use AWS services like [AWS Batch](https://aws.amazon.com/batch/) and [AWS Step Functions](https://aws.amazon.com/step-functions/) to queue up and schedule these batch jobs during periods when the carbon intensity is lower, such as times when more renewable energy is available or when demand is lower. 
+  Consider using [AWS Graviton](https://aws.amazon.com/ec2/graviton/)-based instances if supported, for batch processing workloads, if as they offer energy-efficient compute capabilities. 
+  Sample data sets when possible, to reduce compute, analytics, and data transfer needs. 

## Key AWS services
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+  [AWS Instance Scheduler](https://aws.amazon.com/solutions/implementations/instance-scheduler/) (for scheduling batch jobs during low-carbon periods)