Recently, data generation at the scale of terabytes, petabytes and exabytes have become commonplace in many scientific and commercial domains. Streaming data, social media content, electronic medical records, astronomy surveys, genomic and proteomic studies and similar areas generate data at a scale that is becoming increasingly difficult to manage using traditional database technologies. Big Data is an umbrella term used for such massive collections of data. Besides volume, analytics has to face challenges like heterogeneity, timeliness, and complexity, velocity and privacy issues. The other challenge is to fuse data sources - of same type or multi-modal and perform joint analytics on the integrated data. The scale of such data poses significant challenges for analytics, going beyond what can be supported by conventional data, storage and retrieval models.
The International Conference on Big Data Analytics (BDA) is set in this backdrop. It provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues, and future research trends.
The first BDA conference was successfully held in New Delhi, India, in December 2012 as a part of collaboration between the University of Delhi, India and the University of Aizu, Japan. The enthusiastic response to this event prompted the decision to make the BDA conference as an annual event. The fifth international conference on Big Data Analytics (BDA 2017) will be held in Hyderabad, Telangana, India in December 2017.
Information about past BDA conferences:BDA 2015 - http://www.nitw.ac.in/bda-2015/
BDA 2014 - http://bda2014.iiitd.edu.in/
BDA 2013 - https://sites.google.com/site/bdaconf2013/
BDA 2012 - http://web-ext.u-aizu.ac.jp/labs/is-ds/BDA2012/#.U20I-vm4XMQ