Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

Unstructured vs. Structured Data: The 5 Most Important Differences
Latest   Machine Learning

Unstructured vs. Structured Data: The 5 Most Important Differences

Last Updated on July 18, 2023 by Editorial Team

Author(s): Anil Tilbe

Originally published on Towards AI.

A breakdown of structured data, and unstructured data, the advantages of each, and how to deploy them together simultaneously for your use cases


By Dietmar Becker from Unsplash

A basic definition of structured data:

This means that it is easy to find and use because it is stored in a particular format. Another description:

Structured data allows the software to make meaning of data — it is a strictly defined way of representing data in a format [1] that computing systems can read. The latter means that when data is stored in a structured format, it can be easily accessed and analyzed by computing systems.

Data that has not been organized or formatted in any specified way. This data type is often more difficult to work with… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓