The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles. My team of data and analytics researchers and consultants falls into two ...

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 ...

Managing unstructured data is a daunting task. ... Tackling Unstructured and Semi-Structured Data 3 minute read. By Marisa Peacock. March 2, ... Discover documents of similar content to an example ...

The distinction between structured and unstructured data is important because automated reasoning, one of the pillars of Web 40.0, requires both kinds of data analytics.

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

Those who seamlessly manage both structured and unstructured data set themselves up to bridge the gap between raw data and insights that meaningfully drive the business forward. The era of 400 ...

As a data professional, you have heard the term 'unstructured data.' And you probably know what is meant by that term, as well. For those who do not, unstructured data is a general term used to define ...

Unstructured data is not organised in a predetermined way and may be challenging to process. E-mails, posts on social media, pictures and videos are all examples of this type of data.

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.

Unstructured data is approximately 80% of the data that organizations process daily. This primer covers what unstructured data is, why it enriches business data, and how it speeds up decision making.