Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

The most universal form of structured data is a database like SQL or Access. For example, SQL (Structured Query Language) allows you to select specific pieces of information based on columns and ...

Learn six methods to test unstructured data, such as text, images, audio, and video, in your data pipeline and avoid errors, anomalies, or inconsistencies.

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 ...

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 ...

This is how modern AI databases work with the types of unstructured data mentioned above. Instead of looking for exact matches, these databases look for results that are similar or “close enough.” ...

Day two of Strata Conf. 2014 kicked off with co-hosts John Furrier and Jeff Kelly who were joined in theCUBE by Bob Wilkinson, COO of InfiniDB, a man more than happy to talk about the recent changes ...

Unstructured data is still ungovernable, a new survey finds. But enterprises are going to have to reckon with new forms of information in its many forms.

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Structured Query Language (SQL) is a proven winner that has dominated for several decades and is currently being aggressively invested in by big data companies and organizations such as Google ...