Structured Data

v

Unstructured Data

v

Semi-Structured Data

 

Key Differences Use Cases & Business Value

Some key extracts.   Added links.   Added reference system.

1

In today’s data-driven economy, businesses are inundated with information from thousands of sources, including:

  1. CRMs     {Customer Relationship Management}
  2. web apps
  3. IoT devices here
  4. social media
  5. internal systems
  6. and third-party APIs  here  look for AI  Overview

2 

To make sense of this information and drive smarter decisions, organizations must understand how data is categorized and handled.

3

Broadly, data falls into three categories:

  1. Structured data

  2. Unstructured data

  3. Semi-structured data

3

  1. Each type requires different storage solutions, processing techniques, and analytics tools.
  2. Let's break down the characteristics, advantages, and trade-offs, and how to make sure your data stack is ready for all three.
  3. In this article, we’ll examine structured data vs unstructured data vs semi-structured data, looking at the key differences, use cases, and business value for each, along with where Matillion fits in.

 

Links added.  Continue reading via Source.