Unless you are in the development stone age and SSHing into the production servers to hand edit files with Vim or Emacs, your development environment is not the same as production.
If you've ever encountered frustrating errors when working with these big data frameworks, read on to learn how to solve them (and stop pulling your hair out)!
Kafka and distributed streams can come in handy when working with microservices. Read on for an introduction to testing Kafka and make sure you're on the right track.
Improvements were made to enable Spark to execute faster, making a lot of earlier tips obsolete. This post will first give a quick overview of what changes were made.
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