ARTICLES

The following articles are of interest and relevance to WhamTech's EIQ Product™ approach:

  • "A Grand Unified Theory of Metadata", by Ian Rowlands, DATAVERSITY, February 17, 2014
    Short article on the drive to combine structured data, content (free text) and unstructured data (Big Data).  Ian Rowlands proposes using a large-scale business ontology to achieve this combination, but does not extend that thought.  WhamTech agrees with the ontology approach and has made efforts in that direction, including (a) defining entities in structured data models and then capturing both internal external joins as Link Indexes™ for an ontology representation without the inherent predicate of triples, (b) applying entity extraction and text analytics to identify entities and relationships among entities to content (free text), and (c) structuring unstructured data in Big Data through a combination of data transformations for index and results data to fit ontology elements and attributes, and then applying Link Indexes™ similar to structured data.

  • "Hadoop Is Not a Data Integration Solution", by Merv Adrian and Ted Friedman, Gartner, January 23, 2013
    Summary of the main reasons why Hadoop does not at the time and currently meet the requirements of a data integration solution, namely resolving semantics, data quality and relationships among data.  WhamTech's data virtualization solution addresses each of these reasons.

  • "Why Big Data Doesn't Always Equal Big Insight", by Shvetank Shah, Information Week, November 7, 2011
    Short article on the problems facing Big Data.  The article mentions three main problems in order of importance: 1. Access to data, 2. Unusable formats and 3. Reliability – where did data come from and how complete is it?  Of course, WhamTech believes that EIQ Products™ solve all three problems and more.

  • "Inmon's Vitrolic Slap at "Virtual Data Warehousing" Does Not Withstand Scrutiny", by James Kobielus, Information Management, April 3, 2009

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