Unstructured data is information that isn't stored in a specific format. It can contain images, audio, or documents.

Learn the differences between structured vs unstructured data, how they are used, and which are the most common tools to access this data.

Unstructured data is data that doesn’t have a predefined schema or data model. It’s the opposite of structured data, which is typically used in traditional relational database systems (RDBMS), …

Through this article, we explain the modern methods of unstructured data storage and help understand why traditional approaches are not enough to store unstructured big data.

Unstructured data is data that doesn’t have a fixed form or structure. Images, videos, audio files, text files, social media data, geospatial data, data from IoT devices, and surveillance data are …

This data came in all shapes and sizes — structured, semi-structured, and unstructured — and defining the schema in advance became nearly impossible. NoSQL databases allow …

Unstructured data is data that doesn't have a predefined data model or consistent organization. In addition, unstructured data, such as social media posts, can update and change rapidly while …

Unstructured data analytics involves cleaning, processing, structuring, transforming, analyzing, and visualizing unstructured data to generate actionable business insights.

- **Unstructured data**: Unstructured data doesn't have consistent structure or schema and can be found in a variety of formats. These formats can include everything from videos, images, …

They need a powerful, scalable solution designed to store vast volumes of structured, semi-structured, and unstructured data assets in native form—a platform that can be easily queried …