An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.

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 ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

Essentially, Rockset handles semi-structured data formats such as JSON, Parquet, XML, CSV, and TSV by indexing and storing them in a way that can support relational queries using SQL, as shown in ...

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 ...

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 ...

As an example, SQL was the first programming language to return multiple rows per single request. This makes it easier to get data on what is taking place within a set of data—and consequently ...