We recently had to prototype a data application over a supercomputer tuned for graph analysis. We built a proof-of-concept leveraging multiple APIs, Cray’s Urika-GX and Graph Engine (CGE), and a handful of programming languages in less than a week.
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Six months ago I didn't understand the concept of abstraction. Now it comes up almost daily. It’s foundational to my thinking on everything from software to entrepreneurship. I can’t believe how simple it seems. When I finally grokked abstraction, it felt like my first taste of basic economics. Given a new framework, something that had always been there, intuited but blurry, came into focus.
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I like to build things. I like analysis. I like programming. Interestingly, you often need to reverse that order before you’re in a position to build an application for analyzing something. You need programming knowledge to turn the analysis into a “thing.” The problem is, while I like programming, I’m still new to it. I mean, I’m Codecademy good, but that doesn’t translate into a user facing application leveraging Python, Javascript, and D3. So, when I recently sat down to build a minimally viable data application for looking at airline stocks, I wondered how long it might take to get to viable and, frankly, feared how minimal it might be.
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