Gartner Research

Big Data Challenges for the IT Infrastructure Team

Published: 10 February 2012

ID: G00230025

Analyst(s): Merv Adrian , Sheila Childs

Summary

Supporting big data uses cases means the introduction of many new technologies for storage, data management and analytics. The IT organization needs to understand what is meant by big data, and must begin planning infrastructure and personnel changes accordingly.

Table Of Contents
  • Overview
  • Impacts

Analysis

  • Impact: IT Needs to Understand that Big Data Is Not Simply Big Volume, and That Big Data Projects May Fail If They Don't Pay Attention to Variety, Velocity and Complexity, as Well as Volume
  • Impact: IT Should Expect Significant Infrastructure Re-Engineering and Budget Changes as Priorities Shift to Big Data Processing and Analysis
  • Impact: IT Should Understand That, While Some Well-Known Organizations Tout Their Big Data Successes, Outside of These Edge Cases, Most Big Data Projects in 2012 Will Be Best-Described as Exploratory
  • CIOs and Hiring Managers Must Ensure That the Budget and Training Are in Place to Satisfy the Demand for Experienced IT Personnel. Without Skilled People, Big Data Projects Will Churn Data, but Will Lack Intelligence

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