Here are my information slinging decks for big data approaches/analysis, as well as some policy/procedure.
A security presentation to elucidate and prompt questions concerning policy and procedure.
(Presentation Security)Provoking the questions that drive the goal of resultant data, breaking down the jargon, terminology, and detaileed specifics. From bits to geopbytes, with a bibliography!
(Presentation Jargon Explanation)Going over the positioning and qualifications for metrics/enumeration for a data-driven big data department, group, or organization.
(Presentation ROI Business Case)Graph search, web 3.0, semantic web, vocabulary/ontology driven relationships...I'm sure you might never had heard of these, but they're all the same thing: Object Oriented Relational Databases. These aren't that new, either; the concepts started over 20 years ago. I go over the basic concepts and purpose of the Semantic Web, hopefully to get some more traction in this muddled mess that is Web 3.0.
(Presentations Semantic Web Geopbytes Relational)The simple full stack explanation, without too much on the emperical function side. Bayesian and linear perspectives are out of scope, in this one. It's an oldy, but a goody.
An overview of the big data excosystem and the tools that drive it. A tehcnical explanation, with abstractions on the analysis and a focus on the toolset.
By forming an appreciation for business and process during my time cultivating and harvesting in western Colorado, I learned early on work is not just measured in Joules; quality comes from amalgamating approaches.
As a young businessman I started my first company in my early teens. I found a proficiency for finding inefficiencies in processes and creating efficacious solutions to those ineffectual methods. Turning to software design and systems administration, the experiences of abstract problem solving became the critical thinking that would solve many different data issues in the early two thousands. After combining methodologies and approaches, seemingly complex systems and even more complex solutions, became simplified and approachable.
In my position as a Linux admin, I facilitated the concurrent manager replacement and repository management solution for Waterpik’s assembly and production lines. This ended with my creation of an automated solution that made my position obsolete. More accessibility inside data warehouses gave way to succes; an advanced solution, designed and deployed. After the success of Waterpik, I moved onto software development and data design, helping the Navy to subjugate data flows for different departments and ranks; thus, rescuing a fragmented and dissociative workflow and dataset.
High performing executive with more than just an ear to the ground. Proven effectiveness in setup and deployment of startups, mid‐level organizations, and established institutions. Leveraging each level of market capitalization, growth, worth, and benefit analysis have given partners a better understanding and expectation of their information workflows.
Known within the financial, energy, research, commercial, and legal industries for the execution of costbenefit driven deliverables. Communication directed goals, with malleability, have been a strong cornerstone in providing success. Exceeding expectations for efficiency improvements and driving continued revenue growth; from both internal and client‐based perspectives.
Finding your bearing, when the storm has led you off-course, is a difficult and arduous task. After failing fast, and maintaining footing, finding a road to success has been just as challenging. Picking up the peices and moving forward to build something new, there has always been a path; whether or not it was strenuous to find. There have always been problematic detours on the ambitious road, still we can always find our own proper way. To identify value, and enumerate metrics to measure for that value, is my goal.
Putting policy and procedure through their paces.