A Framework for Describing Big Data Projects
| Autor: | Colin Connors, Jeffrey S. Saltz, Ivan Shamshurin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Focus (computing)
business.industry Computer science Big data 02 engineering and technology Data science Field (computer science) Set (abstract data type) Work (electrical) Analytics 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Project management business |
| Zdroj: | Business Information Systems Workshops ISBN: 9783319524634 BIS (Workshops) |
| DOI: | 10.1007/978-3-319-52464-1_17 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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