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Spark Technical Debt Deep Dive

Cloudera

How Bad is Bad Code: The ROI of Fixing Broken Spark Code Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns.

Lambda 58
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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

For teams dealing with loads of technical debt, microservices offer a path to the promised land. For a deep dive on how to build microservices with Spring, check out this post straight from the source. Additional frameworks include Spark, Ninja and Jodd, Restlet and Bootique.io.