This Guidance uses various AWS services to handle the undifferentiated heavy lifting of integrating third-party data sources with your AWS account. Amazon AppFlow helps you securely transfer data between your Salesforce service and AWS, and AWS Glue helps you fully automate data preparations from external sources, making it easier to use Athena for querying.

This Guidance uses fully managed services to help secure connected third-party data sources so that you don’t have to manage the underlying data connecters that establish secure API integration. Amazon S3 encrypts your data at rest by default using managed encryption keys, and Amazon AppFlow manages the security credentials of connected data sources.

This Guidance helps you reliably scale your data workloads without needing to manage infrastructure. For example, Amazon S3 is highly scalable and provides durable data storage. Amazon AppFlow helps you validate data, securely connect to data sources, and monitor data flow to resolve issues quickly. And Data Catalog provisions only the resources required to integrate your data.

This Guidance makes it easy for you to establish and scale data integration with minimal effort by using Amazon AppFlow to automate bidirectional data flows between systems with just a few clicks. Data workflows easily scale and only run when needed.

This Guidance uses Amazon AppFlow, which automatically provisions and runs data workflows based on a schedule you set based on your business objectives, helping you reduce costs. This Guidance also uses AWS Glue, which is fully managed and serverless, so you pay for only the resources consumed. Additionally, Amazon S3 lets you archive data into storage tiers to reduce cost. TheAmazon S3Intelligent-Tiering storage class provides automatic cost savings based on access patterns, without sacrificing performance.

This Guidance uses Amazon AppFlow and AWS Glue, which use serverless architectures to share underlying infrastructure and reduce unnecessary operations. You can schedule them to run automatically, and by combining Amazon AppFlow data workflow scheduling with automatic AWS Glue crawlers, you consume resources only when you need to, so they won’t run during idle times. This helps reduce the impact of provisioned infrastructure on the environment.