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Frank Bertsch, Software Engineer

Frank Bertsch, Software Engineer
While Frank is primarily a coffee consumer at ISE, he also utilizes Big Data and data science technologies. His focus is on answering questions with data that can change outcomes for a business. He has degrees in Physics and Computer Science from Xavier University, and a Masters in Computer Science from the University of Wisconsin-Madison. He has two kids who he's sure enjoy his litany of Dad jokes.

Recent Posts

Mother Knows Best: SQL to NoSQL and Back Again

May 12, 2016 | by Frank Bertsch, Software Engineer | Tags: Big Data

One problem with the Big Data paradigm is the lack of Big Data capable software engineers. Why is this? Let's check off the reasons:

  1. It is hard to reason about parallel computation. Steve Jobs was famous for saying that "nobody knows how to program [multi-core]. I mean two, yeah; four, not really; eight, forget it." Now take those eight cores and multiply it across tens, hundreds, or in some cases, thousands of machines. This is a difficult problem.
  2. There is a constantly changing ecosystem of tools, languages, and work flows. This leads to confusion among newcomers on which to learn and use, and which are irrelevant.