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

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 developers to store huge …

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

When the data is more unstructured, data analysis will likely require the expertise of developers, data scientists, or data engineers. The flexible nature of data lakes enables business analysts and data …

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.

AI depends on fluid, instantly accessible data, not fragmented silos. Consolidate structured and unstructured data—text, video, audio, time series, and more—into a single, flexible system.

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.

MongoDB is a document-oriented NoSQL database that is used to store large amounts of data. Find out other reasons to use MongoDB and its use cases.

Vectors can represent any kind of data, from text, image, and audio data to unstructured data. Semantic similarity is determined by measuring the distance between vectors.