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.

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles.

What we're really doing is designating our data as structured or unstructured. Let's start with structured data, which is really data that is organized in a structure so that it is identifiable.

Aashish Mehta: Unlike structured data, which can be easily stored in databases and queried with standard SQL commands, unstructured data requires advanced tools and techniques for processing.

Despite all the publicity around Big Data and Apache Hadoop, a new database deployment survey indicates traditional, structured relational database management systems still reign among enterprises, ...

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

About 90% of data is unstructured, and most of it comes from a plethora of sources such as emails, text files, pictures, videos, news, etc ...

AWS looks to make RAG easier and automatic with new enterprise AI tools that help organizations with structured data retrieval, GraphRAG and unstructured data support.