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Introduction

As data continues to be produced in massive amounts, with increasing volume, velocity and variety, Big Data projects are growing in frequency and importance. However, the growth in the use of Big Data has outstripped the knowledge of how to support teams that need to do Big Data projects.

In fact, there has been very little written about methodologies, processes and frameworks that could enable teams to more effectively and efficiently “do” big data projects. The situation is much like the early days of software development: software was being developed but organizations had little ability to predict whether a project would be successful, on time or on budget and projects were overly reliant on the heroic efforts of particular individuals.

Call for paper

Important date

2016-10-15
Draft paper submission deadline

Submission Topics

We invite research results and position statements on topics including, but not limited to:

  • Methodologies (agile, waterfall, other) for teams doing a Big Data project

  • Software Engineering / Project Management challenges specific to Big Data projects

  • Tools or frameworks to facilitate collaboration within a Big Data project

  • How to evaluate the effectiveness of a Big Data team or their methodologies

  • How to ensure the quality of the results of a Big Data project

  • Frameworks to describe Big Data projects and Big Data project process maturity

  • Case studies on related topics of interest to this workshop

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Important Date
  • Conference Date

    Dec 05

    2016

    to

    Dec 08

    2016

  • Oct 15 2016

    Draft paper submission deadline

  • Dec 08 2016

    Registration deadline

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