BDMS 2015 - Second International workshop on Big Data Management and Service (BDMS 2015)

Second International Workshop on Big Data Management and Service (BDMS 2015) in conjunction with DASFAA 2015 Hanoi, Vietnam, 20-23 April, 2015
Description
The proliferation of new technologies such as Internet of things, social networks and cloud computing produces datasets whose volume, velocity, and variability is beyond the ability of commonly-used software tools. Efficient processing of big data creates notable research challenges and opportunities for traditional databases and infrastructure. On the other hand, computing and software are turned into commodity services by cloud computing, so it is necessary to examine Big Data as a Service (BDaaS) from both technology and business aspects.
This BDMS 2015 workshop intends to bring together researchers, practitioners, and developers from academia and industry to discuss cutting edge research on big data management and service, such that the interactions among the experts of these areas can be promoted and new interdisciplinary technologies can be developed. The scope of the workshop includes big data management techniques such as big data modeling, analytics, and toolkits, as well as techniques and case studies for providing big data as a service.
This BDMS 2015 workshop intends to bring together researchers, practitioners, and developers from academia and industry to discuss cutting edge research on big data management and service, such that the interactions among the experts of these areas can be promoted and new interdisciplinary technologies can be developed. The scope of the workshop includes big data management techniques such as big data modeling, analytics, and toolkits, as well as techniques and case studies for providing big data as a service.
Topic of Interest
The topics of interest include, but are not limited to the following:
Challenges for Big Data Management and Service
Big Data Theory
Big Data Architecture
Big Data Modeling
Big Data Analytics
Big Data Mining
Big Data Business
Big Data Toolkits
Big Data Visualization
Big Data Open Platforms
Big Data Applications (Internet of Things, Social Networks, etc.)
Big Data Sharing and Privacy Preserving
Security, Trust and Risk in Big Data
Big Data as a Service (BDaaS)
Delivery, Deployment, and Maintenance of BDaaS
Engineering Practices and Case Studies of BDaaS