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 ...

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 ...

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 ...

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 ...

A data lake is a central repository that stores raw, unprocessed, and unstructured data in its native format. This can include structured data (tables), semi-structured data (logs, JSON), and ...