Modern organizations store data across databases, applications, data lakes, and streaming platforms. The challenge is making all that data discoverable, secure, and useful without building a completely separate integration solution for every team.

Data Fabric on AWS offers an architectural approach to connecting data sources, managing metadata, enforcing governance, and enabling analytics and AI applications.

In this tutorial, we'll explore an AWS data fabric architecture and build a small customer analytics project using Amazon S3, AWS Glue, and Amazon Athena.

What Is Data Fabric?

A data fabric is an architecture that connects data discovery, integration, metadata management, and governance across distributed systems.

On AWS, you can use services such as:

Amazon S3: Store raw and curated datasets.

AWS Glue: Discover, catalog, and transform data.

AWS Glue Data Catalog: Maintain metadata and table definitions.

AWS Lake Formation: Manage permissions for supported data lake resources.

Amazon Athena:…