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AWS Solutions Library

Guidance for Developing a Data & AI Foundation with Amazon SageMaker

Accelerate building Data, Analytics, AI, and Visualization applications on AWS using Terraform modules for next-gen Amazon SageMaker platform

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Overview

This Guidance demonstrates how organizations can accelerate development of their data and AI foundations on AWS to integrate, govern and drive value through their data assets. By providing pre-built infrastructure-as-code modules and application modules to deploy Iceberg data lakes and SageMaker Next Generation platform, this Guidance helps enterprises reduce time-to-market and development complexity. Organizations benefit from proven architectural patterns and best practices for data management, allowing teams to focus on innovation rather than infrastructure configuration. The modular approach in this Guidance enables rapid deployment of data pipelines and data products, ensuring scalability while maintaining enterprise-grade standards and security.

Benefits

Transform your data infrastructure from concept to production in days instead of months using pre-built modules. Reduce implementation complexity while maintaining enterprise-grade security and governance standards.

Eliminate infrastructure management overhead with intelligent serverless capabilities that match resource allocation to actual demand. Pay only for resources consumed while maintaining consistent performance.

Implement comprehensive data governance with built-in security controls and automated access management. Teams can safely share and consume data products while maintaining compliance requirements.

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.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your 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.

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