# SUS04-BP07 Minimize data movement across networks
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Use shared file systems or object storage to access common data and minimize the total networking resources required to support data movement for your workload.

 **Common anti-patterns:** 
+  You store all data in the same AWS Region independent of where the data users are. 
+  You do not optimize data size and format before moving it over the network. 

 **Benefits of establishing this best practice:** Optimizing data movement across the network reduces the total networking resources required for the workload and lowers its environmental impact. 

 **Level of risk exposed if this best practice is not established:** Medium 

## Implementation guidance
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 Moving data around your organization requires compute, networking, and storage resources. Use techniques to minimize data movement and improve the overall efficiency of your workload. 

## Implementation steps
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+  Consider proximity to the data or users as a decision factor when [selecting a Region for your workload](https://aws.amazon.com/blogs/architecture/how-to-select-a-region-for-your-workload-based-on-sustainability-goals/). 
+  Partition Regionally consumed services so that their Region-specific data is stored within the Region where it is consumed. 
+  Use efficient file formats (such as Parquet or ORC) and compress data before moving it over the network. 
+  Don't move unused data. Some examples that can help you avoid moving unused data: 
  +  Reduce API responses to only relevant data. 
  +  Aggregate data where detailed (record-level information is not required). 
  +  See [Well-Architected Lab - Optimize Data Pattern Using Amazon Redshift Data Sharing](https://wellarchitectedlabs.com/sustainability/300_labs/300_optimize_data_pattern_using_redshift_data_sharing/). 
  +  Consider [Cross-account data sharing in AWS Lake Formation](https://docs.aws.amazon.com/lake-formation/latest/dg/cross-account-permissions.html). 
+  Use services that can help you run code closer to users of your workload.     
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/wellarchitected/2023-10-03/framework/sus_sus_data_a8.html)

## Resources
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 **Related documents:** 
+  [Optimizing your AWS Infrastructure for Sustainability, Part III: Networking](https://aws.amazon.com/blogs/architecture/optimizing-your-aws-infrastructure-for-sustainability-part-iii-networking/) 
+  [AWS Global Infrastructure](https://aws.amazon.com/about-aws/global-infrastructure/) 
+  [Amazon CloudFront Key Features including the CloudFront Global Edge Network](https://aws.amazon.com/cloudfront/features/) 
+  [Compressing HTTP requests in Amazon OpenSearch Service](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/gzip.html) 
+  [Intermediate data compression with Amazon EMR](https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-output-compression.html#HadoopIntermediateDataCompression) 
+  [Loading compressed data files from Amazon S3 into Amazon Redshift](https://docs.aws.amazon.com/redshift/latest/dg/t_loading-gzip-compressed-data-files-from-S3.html) 
+  [Serving compressed files with Amazon CloudFront](https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/ServingCompressedFiles.html) 

 **Related videos:** 
+ [ Demystifying data transfer on AWS](https://www.youtube.com/watch?v=-MqXgzw1IGA)

 **Related examples:** 
+ [ Architecting for sustainability - Minimize data movement across networks ](https://catalog.us-east-1.prod.workshops.aws/workshops/7c4f8394-8081-4737-aa1b-6ae811d46e0a/en-US)