# Bring structured and unstructured data together with Amazon Quick

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/bring-structured-and-unstructured-data-together-with-amazon-quick
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/bring-structured-and-unstructured-data-together-with-amazon-quick/)
> **Author**: Puneeth Komaragiri (undefined)
> **Published Date**: Tuesday, November 3, 2026
> **Category**: RESEARCH
> **Tags**: AI, AWS ML Blog, research

## Executive Summary
Amazon Quick brings structured and unstructured data together in one experience. In this post, you connect Amazon S3 as a knowledge base, enrich a dataset, build a Space, and create a custom chat agent that answers business questions across both data types...



## Full Coverage
Organizations collect data in many forms. Structured data lives in databases and spreadsheets, whereas unstructured data sits in documents, reports, and files stored across file systems. Analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results

Amazon Quick addresses this with a unified experience. You can connect structured data through enriched datasets and unstructured data through S3-backed knowledge bases . You can then query both through a single conversational AI agent

The following diagram illustrates how each component connects to deliver a unified data experience through Amazon Quick

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