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. Key challenges include topics such as the process teams should use when working Big Data projects, tools to improve modularity and how to evaluate potential ethical issues.
2018 Workshop
We are actively seeking paper submissions for the 4th international workshop on methodologies and tools to improve Big Data projects will be held in conjunction with IEEE Big Data 2018, in Seattle WA, USA on Dec 10 – Dec 13, 2018.
Paper Submission
Please use this submission link
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 to reduce risk, improve productivity and improve the insight generated via the project.
The submission deadline is October 10, 2018.
Accepted papers will be published as part of the IEEE Big Data conference proceedings.
2017 Workshop
The third annual workshop on methodologies to improve Big Data projects was held in conjunction with IEEE Big Data 2017, in Boston MA, USA on Dec 11 – Dec 14, 2017. Please see the workshop page for more details.
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. Key challenges include topics such as the process teams should use when working Big Data projects, tools to improve modularity and how to evaluate potential ethical issues.
2018 Workshop
We are actively seeking paper submissions for the 4th international workshop on methodologies and tools to improve Big Data projects will be held in conjunction with IEEE Big Data 2018, in Seattle WA, USA on Dec 10 – Dec 13, 2018.
Paper Submission
Please use this submission link
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 to reduce risk, improve productivity and improve the insight generated via the project.
The submission deadline is October 10, 2018.
Accepted papers will be published as part of the IEEE Big Data conference proceedings.
2017 Workshop
The third annual workshop on methodologies to improve Big Data projects was held in conjunction with IEEE Big Data 2017, in Boston MA, USA on Dec 11 – Dec 14, 2017. Please see the workshop page for more details.
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