Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q
aws.amazon.com - machine-learningIn today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information.
In this post, we explore how you can use Amazon Q Business, the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.
Solution overview
Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge. The key to using the full potential of Amazon Q lies in its ability to seamlessly integrate ...
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