Randall Shane
  • Male
  • Charlotte, NC
  • United States
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Short Bio:
IT professional with over 20 years of experience as a subject matter expert in technology and industry thought leadership assisting senior technology and business leaders in translating business needs into technical requirements and system specifications. With an emphasis in data engineering, specializing in the design, management, and analysis of data that, with integrity intact, provides actionable information.
Job Title:
Information Architect

Randall Shane's Blog

Flafka: Big Data Solution for Data Silos

Posted on March 22, 2017 at 1:30pm 0 Comments

From the previous post on “Poor Data Management Practices“,  the discussion ended with a high level approach to one possible solution for data silos. Traditional approaches for solving the data silo problem can cost millions of dollars (even for a moderately sized company), and typically requires a huge effort in integration work (e.g., data modeling, system…


Ontologies: Practical Applications

Posted on February 28, 2017 at 8:00am 0 Comments

In the previous post, "Why Ontologies", we explored concepts at a very high level about what an ontology is, and how they can be used in AI, NLP, data integration, and knowledge management applications. So what does the picture of satellites orbiting the earth have to do with…


Why Ontologies?

Posted on February 22, 2017 at 5:30pm 0 Comments

In short, an ontology is the specification of a conceptualization. What does that mean from the perspective of the information sciences? Wikipedia's definition: "formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain of discourse." This basically means, like all models, that it is a representation of what actually exists in reality. A statistical or mathematical…


Summary of NOAA Analysis

Posted on August 22, 2015 at 7:00am 0 Comments

v0.2 of the application.

The analysis and discussion over the last few months on data integrity have finally positioned me to do some basic analysis of the NOAA data. Undoubtedly, as you look through the data in the interactive program below, you will see things that cause you to question the data. If you have the time, and the interest, please go back and read through my earlier posts on …


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