For example, the flow of data may be intermittent or may have limited communications capabilities, given that many mission locations are globally located. That also translates into how to keep a ...

Unstructured data can be machine-generated as well, with examples including: IoT data: As the number of smart, internet-connected devices grows, so does the amount of data they create and collect.

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

Solution examples include: Map-Reduce (Hadoop)Analytics - These systems enable analysis over a very broad and diverse set of information such as data and content available viathe Internet - for ...

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 ...

Growth in data, particularly unstructured data is driving growth in NoSQL database software. MongoDB’s opensource approach has allowed them to grow rapidly but they need to monetize users in the ...

But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors, and other sources, NoSQL is simply better.

SAN FRANCISCO, May 28, 2025--Monte Carlo, the leading data + AI observability platform, today announced the launch of unstructured data monitoring, a new capability that enables organizations to ...

But you can still have some pretty private things floating around in unstructured data sets. For example, a letter relevant to somebody’s HIPAA information might look like it doesn’t have any ...