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Guidance for Connecting Data from Adobe Experience Platform® to AWS Clean Rooms

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Overview

This Guidance demonstrates how to import data from an Adobe Experience Platform (AEP) to AWS Clean Rooms. Using AWS services, customers can import their profile information from AEP into their AWS account, then process, normalize, and prepare it for marketing campaigns.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

This Guidance uses a multi-tier architecture where every tier is independently scalable, deployable, and testable. The various facets of this multi-tier architecture are compute, storage, data management (catalog), and orchestration that are decoupled from each other.

Observability is built-in, with every service publishing metrics to CloudWatch where dashboards and alarms can be configured.

Read the Operational Excellence whitepaper

Resources are protected using an Amazon S3 bucket to block public access. The data at rest in Amazon S3 is encrypted using Amazon S3-managed keys (SSE-S3). The data in transit from the external system into Amazon S3 is encrypted (with AWS KMS) and transferred over HTTPS.

Read the Security whitepaper

Every service or technology chosen for each architecture layer is serverless and fully managed by AWS, making the overall architecture elastic, highly available, and fault-tolerant. Step Functions include error handling and notifications/alarms in case of failures.

CloudWatch logs and metrics are used to track logs and events. CloudWatch alarms are configured to send notifications when thresholds are crossed.- 

Read the Reliability whitepaper

The selection of AWS managed services for this architecture are purpose-built for Extract, Transform, and Load (ETL) applications (using AWS Glue and AWS Step Functions). A detailed implementation guide is provided for the user to experiment and use this Guidance within their AWS account. The serverless architecture reduces the amount of underlying infrastructure you need to manage, allowing you to focus on solving your business needs. You can use automated deployments to deploy the isolated customer data platform (CDP) tenants into any region quickly, providing data residence and reduced latency. In addition, you can experiment and test each CDP layer, enabling you to perform comparative testing against varying load levels, configurations, and services.

Read the Performance Efficiency whitepaper

Using serverless technologies, you only pay for the resources you consume. As the data ingestion velocity increases and decreases, the costs will align with usage. When AWS Glue is performing data transformations, you only pay for the infrastructure while the processing is occurring. In addition, through a tenant isolation model and resource tagging, you can automate cost usage alerts and measure costs specific to each tenant, application module, and service. 

IAM policies are created using the least-privilege access, such that every policy is restricted to the specific resource and operation

Read the Cost Optimization whitepaper

By using serverless services extensively, you get the most out of your resources. Compute is only used when needed.

Read the Sustainability whitepaper

Deploy with confidence

Dive deep into the implementation guide for additional customization options and service configurations to tailor to your specific needs.

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

Adobe, the Adobe logo, Acrobat, the Adobe PDF logo, Adobe Premiere, Creative Cloud, InDesign, and Photoshop are either registered trademarks or trademarks of Adobe in the United States.