BigDataFr recommends: Future-proof and scale-proof your code
Many of the students I work with in my big data classes don’t actually have big data problems; instead, they’re worried about future-proofing their code. These students are hoping that when they do have big data to process and analyze, they’ll be ready.
Becoming scale-proofFuture-proofing code means that we’ll be able to run it on new technologies as they come out, without having to re-write the code. As an example, migrating code from Hadoop MapReduce to Apache Spark requires learning a new API, and rewriting code in order to use it, and this should not be necessary.[…]
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Par Jesse Anderson
Source: oreilly.com