This is an AIDeveloper Publication

Simplify data integration for AI and ML workflows

Managing data across platforms introduces complexity, slowing down ML workflows and increasing operational overhead. This implementation guide from AWS shows how Amazon Redshift, Amazon Bedrock, and Databricks work together to simplify querying, automate vectorization, and scale AI applications.

Learn how to query Amazon Redshift directly from Databricks, transform structured data into vector embeddings, and integrate Amazon Bedrock models for RAG applications. If your challenge is optimizing data access and ML workflows, this guide provides practical solutions to improve efficiency.

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Databricks

Try Databricks Data Intelligence Platform for free in AWS Marketplace.

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About AWS Marketplace

AWS Marketplace makes it easy to find and add new tools from across the AWS partner community to your tech stack with the ability to try for free and pay-as-you-go using your AWS account.

Easily add new category-leading, third-party solution capabilities into your AWS environment.
Avoid upfront license fees and pay only for what you use, consolidating billing with your AWS account.
Boost performance, security, and scalability while enabling new user experiences.

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