The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of enlightenment” where organizations are steadfastly using Hadoop and Spark to solve real problems or provide new capabilities.
At this stage of the adoption cycle, the hype has been replaced with actual use cases. Often times the successful use cases are not necessarily what fueled the initial hype cycle. In the case of Hadoop and Spark, the focus on huge clusters and datasets has shifted to a more pragmatic approach. That is, not every organization needs petabytes of storage and ten thousand cores to find value in their data when using Hadoop and Spark.
Author: Douglas Eadline
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