Spark is the shiny new thing in big data, but how will it stand out? Here’s a look at “fog computing,” cloud computing, and streaming data-analysis scenarios.
To survive the competitive struggles, every fresh technological innovation must find clear use-cases in the marketplace. There must be some specific itch that the new approach can scratch at least as well, and hopefully much better, than the alternatives.
As the mania for Apache Spark grows in the big-data analytics arena, we must remember that it’s still an unproven technology. The early crop of commercial solutions that implement Spark haven’t yet converged on distinctive use-cases that call for Spark and no, say, Hadoop, NoSQL, or established low-latency analytics technologies. What is Spark’s application sweet-spot?
