Tim Palko
Senior Software Engineer, Carnegie Mellon University, Software Engineering Institute

Tim celebrates software development using many languages and frameworks, heeding less to past experience in choosing technologies. Spring MVC, Hibernate, Rails, .NET MVC, Django and the variety of languages that come with are in his L1 cache. Among other endeavors to keep him sharp, he currently provides coded solutions for the Software Engineering Institute at CMU.

Tim received a B.S. in Computer Engineering in 2003 and resides in Pittsburgh, PA.

Sessions

Beyond Hadoop Great America Ballroom J
Constantine Aaron Cois (Carnegie Mellon University, Software Engineering Institute), Tim Palko (Carnegie Mellon University, Software Engineering Institute)
Average rating: ****.
(4.67, 3 ratings)
In this talk, we describe using Redis, an open source, in-memory key-value store, to capture large volumes of data from numerous remote sources while also allowing real-time monitoring and analytics. With this approach, we were able to capture a high volume of continuous data from numerous remote environmental sensors while consistently querying our database for real time monitoring and analytics. Read more.

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