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Histograms and High Level Languages at StrangeLoop

Garrett Long September 14, 2016
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This year’s StrangeLoop conference is less than a week away and I’m psyched. This meeting with an odd name lies at the intersection of an odd blend of topics, including distributed systems, languages, and data science. It would be a natural place for me to talk about PFA, which covers all three, but instead I decided to talk about something new: a language of histogram aggregation called Histo·grammar.

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AnalyticOps: Part 3 - What is an Analytic Engine?

Garrett Long May 25, 2016
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How are Analytic Engines different than “deployment servers”?

Well, did you do last week's homework? If you used the emerging analytic standards of PFA or PPFA to create an analytic for trajectory planning, please send it to info@opendatagroup.com. You just might get a job offer! Heck, if you use the open source tools Aurelius or Titus to convert your R or Python models to PFA we’d love to hear it, and share your work with the growing community of analytic engine users.

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AnalyticOps: Part 1 - What is an Analytic Anyway?

Garrett Long May 16, 2016
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Or is an “analytic” just a fancy term for a “business rule”? 

Over the next few blog posts, I am going to tackle the subject of AnalyticOps, a relatively new function that organizations are going to have to implement and master to ensure maximum ROI on data science investments.  I’ll start with some basics of defining just what is “an analytic” and move through some key elements of implementing the tools (an Analytic Engine) and the competencies that make up AnalyticOps.

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Data Science is More Transformative than Computer Science

Garrett Long May 5, 2016
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Data Science is to computer science what computer science is to electrical engineering.  Back in the early days of computer science, electrical engineering was the dominant discipline.  Electrical engineering defined the platforms and interfaces that dominated most developing industries.  Over time, computer science relegated electrical engineering to commoditized objects of hardware, which were sewn together and operated by software systems.  Computer science has radically transformed the world over the last generation, and enabled computational scale at unprecedented levels.  We are entering a similar transition from computer science to data science, as data science starts to define the systems that enable next generation capability and business value.  

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Judging DataFest at Loyola University

Katrina Morales April 28, 2016
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On April 10th I was privileged to serve as a judge for ASA's DataFest 2016 at Loyola University in Chicago. Joining me on the judging panel were my colleague Collin Bennett, also from Open Data, and Rob Arthur from FiveThirtyEight. DataFest was hosted by Greg Matthews from the Mathematics and Statistics Department at Loyola.  

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