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Posted by Martin Zapletal
Sun, Jul 19, 2015

Many algorithms, especially those with high computational complexity or those working with large amounts of data may take a long time to complete. Many different ways to express algorithms exist in different environments - single threaded, parallel and concurrent and distributed. In this blog post I will focus on the relationship between them and the advantages and disadvantages that the distributed environment provides. The main focus will be on Apache Spark and the optimisation techniques it applies to computations defined by its users in distributed environment.

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