In a significant advancement for the Cloud AI sector, Ataccama has announced the integration of its data trust platform, ...

This is especially true if data is in an unstructured format and needs to be processed, or “normalized,” before it’s readable by machines. Structured data tends to be quantitative — that which can be ...

Learn how structured data modeling differs from unstructured data modeling, and what are some of the benefits and challenges of each technique for data analysis. Sign in to view more content ...

All the data that we see around us can be categorized into two types, i.e., structured and unstructured data. The former type of data exists in some fixed format of some record. Therefore, it is quite ...

Establish hierarchies and taxonomies to give data a dimensional structure, ensuring to consolidate any duplicates for clear, unique dimensions. This approach effectively transforms unstructured ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

Organizations are collecting ever-increasing amounts of structured, unstructured, and semi-structured data in the modern data landscape. According to MIT, unstructured data represents 80 – 90% of ...

That entails analysis of unstructured image data to create structured fields that can be joined to existing data for analysis and, ultimately, to drive editorial decision-making. In this article ...

Unstructured data is data that isn’t organized in a pre-defined fashion or lacks a specific data model. Meanwhile, structured data is data that has clear, definable relationships between the data ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.