mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

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.

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.

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

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

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, ...

Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly ...

Their presentation at Data Summit 2016 focused on approaches and advantages of combining the two to uncover knowledge buried in unstructured information. “Enterprise search helps users find and ...

It’s time to put unstructured data in the spotlight. Having the ability to process unstructured data should be an integral part of your business, no matter what kind of business you are.

As the level of unstructured data rises and hackers shift their focus to it, unstructured data is an issue that can no longer be placed on the enterprise IT back burner.