Braiding Big Data

October 26, 2015

An apt metaphor to explain big data is the act of braiding. Braiding requires person to take three or more locks of hair and alternating weaving them together. The end result is clean, pretty hairstyle that keeps a person’s hair in place and off the face. Big data is like braiding, because specially tailored software takes an unruly mess of data, including the combed and uncombed strands, and organizes them into a legible format. Perhaps this is why TopQuadrant named its popular big data software TopBraid, read more about its software upgrade in “TopQuadrant Launches TopBraid 5.0.”

TopBraid Suite is an enterprise Web-based solution set that simplifies the development and management of standards-based, model driven solutions focused on taxonomy, ontology, metadata management, reference data governance, and data virtualization. The newest upgrade for TopBraid builds on the current enterprise information management solutions and adds new options:

“ ‘It continues to be our goal to improve ways for users to harness the full potential of their data,’ said Irene Polikoff, CEO and co-founder of TopQuadrant. ‘This latest release of 5.0 includes an exciting new feature, AutoClassifier. While our TopBraid Enterprise Vocabulary Net (EVN) Tagger has let users manually tag content with concepts from their vocabularies for several years, AutoClassifier completely automates that process.’ “

The AutoClassifer makes it easier to add and edit tags before making them a part of the production tag set. Other new features are for TopBraid Enterprise Vocabulary Net (TopBraid EVN), TopBraid Reference Data Manager (RDM), TopBraid Insight, and the TopBraid platform, including improvements in internationalization and a new component for increasing system availability in enterprise environments, TopBraid DataCache.

TopBraid might be the solution an enterprise system needs to braid its data into style.

Whitney Grace, October 26, 2015

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Written by Stephen E. Arnold · Filed Under Analytics, Big data, Data, Metadata, News

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.