We look at alternatives to relational databases that have emerged to help bring some structure to unstructured data and gain valuable insight by making it semi-structured.

Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data.

Semi-structured data is here to stay, and it offers the potential for business advantage to companies that know what to do with it. Mark Whitehorn has advice on how to do that.

Structured DB services in telecom are well established from an architecture and service model perspective. Telecom structured data sources are many and varied.

In both cases, data analysts must groom the unstructured data so it can work hand-in-hand with other types of unstructured and structured data. Adequate storage and processing must also be ...

CommVault continues to leverage its single software platform to deliver comprehensive archiving capabilities, encompassing unstructured (e.g., file systems); semi-structured (e.g., Microsoft ...

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...