Unstructured data, by contrast, is undefined in its native format. Examples of unstructured data in healthcare include medical images and written narratives (clinical notes, problem lists, discharge ...

An overly simplified example of structured data is data filed under the First Name, Last Name and Email fields in a database. Unstructured data is when data or user information is stored in a ...

Structured data modeling involves creating schemas, tables, columns, keys, and relationships that define how data is stored and accessed in a relational database management system (RDBMS).

In some cases, unstructured data may live inside structured data records. For example, consider the form that generates a list of questions from which one selects an answer from a pick list; yet one ...

The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information in different ways. Consider a task like organizing ...

Unstructured data, broadly speaking, is data and information that does not conform to a predefined data model – in other words, information that is created and lives outside a relational database.

Unstructured data would be easy to assess if it didn’t come in a wide range of formats and exist across every facet of organizational operations. Then, there’s the need to manually classify data so ...

The social media example is one way to look at this issue. Social media is unstructured data – we know that – and we’re used to seeing all of these stories about ourselves floating around on ...

Data security and governance for AI are top concerns, as found in my company’s 2024 State of Unstructured Data Management and other industry surveys. You need the ability to restrict certain ...