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.

There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

The text of an email, for example, is unstructured, but each email also includes structured data in the form of predefined metadata fields such as the sender, recipient, date and time, and subject.

SQL, or Structured Query Language, is one of the most widely used and standardized languages for interacting with relational databases. It allows you to create, manipulate, and query data using a ...

Unstructured and semi-structured storage needs As we’ve seen, unstructured data is more or less defined by the fact it is not created by use of a database.

MemSQL announced that its distributed in-memory database can now provide JSON analytics, to deliver a consolidated view of structured and semi-structured data, including standard enterprise and social ...

Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently: Structured data was queried declaratively using languages such as SQL, while ...