3. Massive Data Sets

  1. Peter J. Huber

Published Online: 5 JUL 2011

DOI: 10.1002/9781118018255.ch3

Data Analysis: What Can Be Learned From the Past 50 Years

Data Analysis: What Can Be Learned From the Past 50 Years

How to Cite

Huber, P. J. (2011) Massive Data Sets, in Data Analysis: What Can Be Learned From the Past 50 Years, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118018255.ch3

Publication History

  1. Published Online: 5 JUL 2011
  2. Published Print: 4 APR 2011

ISBN Information

Print ISBN: 9781118010648

Online ISBN: 9781118018255

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Keywords:

  • human limitations;
  • storage requirements;
  • computational complexity;
  • data archiving;
  • supercomputers

Summary

This chapter contains sections titled:

  • Introduction

  • Disclosure: Personal Experiences

  • What is Massive? A Classification of Size

  • Obstacles to Scaling

  • On The Structure of Large Data Sets

  • Data Base Management and Related Issues

  • The Stages of a Data Analysis

  • Examples and Some Thoughts on Strategy

  • Volume Reduction

  • Supercomputers and Software Challenges

  • Summary of Conclusions