Gartner Research

Hadoop Project Proliferation Challenges Selection and Support

Published: 06 May 2016

ID: G00294366

Analyst(s): Merv Adrian


The speed of Hadoop innovation and its functional breadth are growing fast. Data and analytics leaders must manage the increasing uncertainties and risks to realize Hadoop's promise of cost-effective, distributed and scalable processing of large datasets.

Table Of Contents
  • Impacts


Impacts and Recommendations

  • Mapping the continuing rapid expansion of Hadoop capabilities to the information needs of the organization as projects proliferate has become a complex process for data and analytics leaders
  • Rapid Hadoop change and adoption challenges distribution vendors' immature support capabilities, creating confusion for data and analytics leaders about exactly what vendors do support
  • Hadoop's innovation model challenges its users' ability to influence new projects that lack commercial support

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