Azure Decision Tree: Data Store

An Azure Data Store Decision Tree provides a flowchart to evaluate different data store options based on specific requirements, such as data type.

Structured Data: This is highly organized and stored in a predefined format, such as rows and columns in a database. Examples include spreadsheets or SQL databases. It’s easy to search and analyze due to its fixed schema.

Semi-Structured Data: While not as rigidly organized as structured data, it still has some organization through tags or markers. Examples include JSON, XML, or NoSQL databases. It allows for more flexibility while maintaining some level of structure.

Unstructured Data: This type lacks a predefined format, making it harder to organize and analyze. Examples include text documents, videos, images, emails, or social media posts. It’s the most common type of data in today’s digital landscape.

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Azure Data Store Decision Tree

Last modified March 29, 2025: replace azure dms (3fc4141)