A framework for describing big data projects

Jeffrey Saltz, Ivan Shamshurin, Colin Connors

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

With the ability to collect, store and analyze an ever-growing diversity of data generated with ever-increasing frequency, Big Data is a rapidly growing field. While tremendous strides have been made in the algorithms and technologies that are used to perform the analytics, much less has been done to determine how the team should work together to do a Big Data project. Our research reports on a set of case studies, where researchers were embedded within Big Data teams. Since project methodologies will likely depend on the attributes of a Big Data effort, we focus our analysis on defining a framework to describe a Big Data project. We then use this framework to describe the organizations we studied and some of the socio-technical challenges linked to these newly defined project characteristics.

Original languageEnglish (US)
Title of host publicationLecture Notes in Business Information Processing
PublisherSpringer Verlag
Pages183-195
Number of pages13
Volume263
DOIs
StatePublished - Jan 1 2017

Publication series

NameLecture Notes in Business Information Processing
Volume263
ISSN (Print)18651348

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Keywords

  • Big data
  • Data science
  • Process methodology
  • Project management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

Cite this

Saltz, J., Shamshurin, I., & Connors, C. (2017). A framework for describing big data projects. In Lecture Notes in Business Information Processing (Vol. 263, pp. 183-195). (Lecture Notes in Business Information Processing; Vol. 263). Springer Verlag. https://doi.org/10.1007/978-3-319-52464-1_17