Gartner Research

Use Hadoop for Your Big Data Archiving

Published: 30 September 2015

ID: G00289493

Analyst(s): Garth Landers, Alan Dayley


Large datasets should be both archived and made accessible to have value over time. When considering Hadoop for archiving, I&O leaders will need to know the limitations, use-case requirements and long-term considerations surrounding the technology.

Table Of Contents
  • Key Challenges



  • Identify Your Business Case and Drivers for Archiving in Hadoop
  • Understand the Options and Trade-Offs for Archiving in Hadoop
  • Determine the Role of Data Lakes
  • Build and Present an Archiving Vision for Large Datasets
  • Appendix

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