January 2017 - UPDATE

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Trends and Applications

As the Hadoop ecosystem matures, the consensus in the industry has been that adoption of Hadoop technology is steady amid continuing disruptive innovation within the open-source framework. However, acquiring or developing skills is one of the most widely cited challenges of integrating Hadoop into the enterprise, as is solution complexity and system integration.

Much like "The Blob" in science-fiction, machine data is growing rapidly - so much that it may expand beyond organizations' control. This data comes from applications, servers, sensors, storage, security systems and networks, and IDC has projected that it will comprise 42% of all data by 2020.

Open data is on the rise and freely available, bringing huge value and new features to applications. However, the challenge for developers is to efficiently wrangle, store, and deliver open datasets without having to build complex data architectures.