Despite the prevalence of unstructured data and the rise of formats that are better described as semi-structured, structured databases are important and won’t go away soon. They are easy to use ...

When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

To support you in this process and ensure you gain a basic understanding of structured vs. unstructured data, Quantzig has released a new article that analyzes the differences between structured ...

According to IBM, examples of unstructured data may include "text, mobile activity, social media posts, and Internet of Things (IoT) sensor data." Semi-structured data has characteristics of both ...

There are lots of questions about unstructured data and its impact on the data enterprise. Can we start with a definition? What we're really doing is designating our data as structured or ...

including unstructured data in the form of text, semi-structured data from M2M communication and structured data in transactional business applications. So CIOs today clearly understand the value ...

Structured data is the most critical data type to maximize AI's benefits. Data is structured or unstructured depending on the format and schema it is based upon. A schema describes the ...

Commentary - Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to ...

The company offers AI data analytics that can deliver business insights with structured, unstructured, and even “dirty” data, meaning data not cleaned of typos or errors. Working with data ...