Hadoop: The Rise of the Modern Data Lake Platform
Hadoop, while it may be synonymous with big data, and while it may be free to access and work with, engineering teams globally will admit that behind every Hadoop undertaking is a major technical delivery project.
Failures are so commonplace that even the experts don’t have great expectations of 2017: at the recent Gartner Data & Analytics Summit in Sydney, research director Nick Heudecker claimed that 70% of Hadoop deployments in 2017 will either fail to deliver their estimated cost savings or their predicted revenue.
It shouldn’t come as a surprise. Hadoop was designed for big data storage, but it wasn’t designed as an actual big data application. Hadoop and Spark are incredible enabling technologies.
Read more at Information Age