The Results Are In! ‘Hadoop in Transition, From Proof-of-Concept to Production’ Report Now Live

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This past week, Decisionworx, in collaboration with The Bloor Group, published their findings from their ‘Hadoop in Transition, From Proof-of-Concept to Production’ survey1. The final analysis reports some interesting findings and may or may not surprise some readers who have been keeping up with the state of Hadoop adoption.

This past week, Decisionworx, in collaboration with The Bloor Group, published their findings from their ‘Hadoop in Transition, From Proof-of-Concept to Production’ survey1. The final analysis reports some interesting findings and may or may not surprise some readers who have been keeping up with the state of Hadoop adoption.

Hadoop In Transition, From Proof-of-Concept to Production Survey
Figure 1: Promoted benefits of Hadoop, for all respondents answering the question

At a high level, respondents found that there are many promoted benefits of Hadoop, but in spite of the growing pool of reported Hadoop success stories, the researchers found that we are still in the early stages of Hadoop adoption. There remains an apparent disparity between years of corporate experience and personal exposure and use of the Hadoop ecosystem. According to the findings, this may indicate a potential gap in organizations’ abilities to engage experienced resources with Hadoop skills early in the adoption and ‘productionalization’ stages. Clearly, 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.

Interestingly, of those who indicated they have no plans to use Hadoop, 37% noted Information Technology (IT) as their job function and 18% indicated that they were consultants. This large percentage may be indicative of a growing intrigue in what the Hadoop ecosystem has to offer and a desire for awareness of the environment as opportunities for adoption emerge over time.

The survey results also indicate that the most frequently-cited business drivers for Hadoop adoption include predictive analytics, the ability to use a data lake, data warehouse augmentation, and real-time analytics. The researchers suspect that the more mundane use cases such as a data lake or warehouse augmentation provide practical value while positioning the organization to embrace more sophisticated application capabilities like analytics. However, data ingestion, enterprise integration, application development, and integration within the data architecture are still seen as being challenging.

As a result, researchers conclude that organizations desiring to stay competitive as Hadoop use becomes more mainstream should invest in proactive education and training programs for their staff members. In addition, organizations should have the expectation from the outset that they will most likely need to partner with Hadoop support providers and “scaffolding” technology vendors to supplement and speed the design, development, deployment, and continuous operations of their Hadoop solutions.
To read the full report findings and analysis, click here.

1Source: DecisionWorx, LLC Hadoop in Transition: From Proof-of-Concept to Production Report, produced by David Loshin and Abie Reifer, in collaboration with The Bloor Group, July 2016.

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