Cutting Big Data Down To Size: The PolySpot Solution

A white paper by analyst Stephen E. Arnold, from Arnold IT

Business professionals know that with terabytes or even petabytes of information there are must have facts of significant value. In most organizations, tapping into existing content, merging those data with high-value information from third parties, and including public Web information is a work in progress. Most business professionals characterize one point of access as “a work in progress.” ArnoldIT’s investigation into PolySpot's revolutionary system suggests that PolySpot can deploy in a matter of days a solution that makes Big Data another source of high value information.

Big Data is the term applied to large flows of unstructured information from such as Text part of Word, PDF, XML, Media, documents but also information from Web pages, social media Blog or more generally all flow text streams, and to structured information generated by devices or applications such as relational database records also known as Structured Data Records (SDR) or content that has been classified using XML (extensible markup language) tags.

The term Big Data may suggest petabytes or more of data flow in as little as a day or two.
Traditional systems such as a relational database management system or a brute force key word indexing system become expensive and sluggish when used to process high-volumes of data and information.

PolySpot has developed an innovative approach that makes it possible to deploy a robust frame-work over existing content repositories. The PolySpot technology allows licensees to access information from many different sources and deliver information that answers real-life business questions. Users access the content via applications or apps from mobile devices to desktop computers. The company delivers solutions+apps.

This brief analysis focuses on PolySpot’s Big Data capabilities.