Gartner Research

Major Myths About Big Data's Impact on Information Infrastructure

Published: 15 September 2014

ID: G00269433

Analyst(s): Alexander Linden , Lisa Kart, Regina Casonato , Nick Heudecker , Andrew White , Mark Beyer , Roxane Edjlali, Ted Friedman


So much hype abounds about big data — and its effect on information infrastructure — that it's hard to know how to effectively exploit its potential. Here we explode nine of the most important myths to help information management leaders evolve their information infrastructure strategies.

Table Of Contents


  • Myth No. 1: Everyone Is Ahead of Us in Adopting Big Data
  • Myth No. 2: We Have So Much Data, We Don't Need to Worry About Each Little Data Flaw
  • Myth No. 3: Big Data Technology Will Eliminate the Need for Data Integration
  • Myth No. 4: It's Pointless Using a Data Warehouse for Advanced Analytics
  • Myth No. 5: Data Lakes Will Replace the Data Warehouse
  • Myth No. 6: Hadoop Will Replace the Data Warehouse
  • Myth No. 7: Big Data Technology Is Mature and You Can Engage Without Risk
  • Myth No. 8: The Impact of Big Data Is Unprecedented in IT
  • Myth No. 9: Big Data Does Not Need to Worry About Information Governance

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