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.

A list of example analysis challenges and solved implementations of them in various languages ... (semi-)structured data analysis library with support for arbitrary data types. Rumble: ... SQL is ...

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 ...

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 ...

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 ...