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.
2017 Workshop
We are actively seeking paper submissions for the 3rd international workshop on methodologies and tools to improve Big Data projects will be held in conjunction with IEEE Big Data 2017, in Boston MA, USA on Dec 11 – Dec 14, 2017.
In this workshop, we will explore methodologies, tools and frameworks that have been or need to be developed to help support Big Data projects. Specifically, this workshop will focus on how we can best support effective communication, collaboration and the overall execution of a Big Data team.
Please see the workshop page for more details (the submission deadline is October 1, 2017).
Accepted papers will be published as part of the IEEE Big Data conference proceedings.
2016 Workshop
The second annual workshop on methodologies and tools to improve Big Data projects was held in conjunction with IEEE Big Data 2016, in Washington DC, USA on Dec 5 – Dec 8, 2016. See a summary of the workshop here.
2015 Workshop
The first annual workshop on methodologies and tools to improve big data projects was held in conjunction with IEEE Big Data 2015, in Santa Clara, CA, USA on Oct 29 – Nov 1, 2015. See a summary of the workshop here.
Contact / Questions
Please email any questions to Jeffrey Saltz (jsaltz[at]syr.edu)
Please join our group
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.
2017 Workshop
We are actively seeking paper submissions for the 3rd international workshop on methodologies and tools to improve Big Data projects will be held in conjunction with IEEE Big Data 2017, in Boston MA, USA on Dec 11 – Dec 14, 2017.
In this workshop, we will explore methodologies, tools and frameworks that have been or need to be developed to help support Big Data projects. Specifically, this workshop will focus on how we can best support effective communication, collaboration and the overall execution of a Big Data team.
Please see the workshop page for more details (the submission deadline is October 1, 2017).
Accepted papers will be published as part of the IEEE Big Data conference proceedings.
2016 Workshop
The second annual workshop on methodologies and tools to improve Big Data projects was held in conjunction with IEEE Big Data 2016, in Washington DC, USA on Dec 5 – Dec 8, 2016. See a summary of the workshop here.
2015 Workshop
The first annual workshop on methodologies and tools to improve big data projects was held in conjunction with IEEE Big Data 2015, in Santa Clara, CA, USA on Oct 29 – Nov 1, 2015. See a summary of the workshop here.
Contact / Questions
Please email any questions to Jeffrey Saltz (jsaltz[at]syr.edu)
Please join our group
