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HYDERABAD, India, Dec. 20, 2022 /PRNewswire/ — IIIT Hyderabad is hosting the 10th international conference on Big Data Analytics at its campus in Gachibowli from 19-22 December 2022. The conference is 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.
In recent times 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.
Prof. P Krishna Reddy from IIIT Hyderabad was the Steering Committee Chair of the conference. More details of the conference at www.bda2022.org
About IIIT Hyderabad
The International Institute of Information Technology Hyderabad (IIITH) is an autonomous research university founded in 1998 that focuses on the core areas of Information Technology, such as Computer Science, Electronics and Communications, and their applications in other domains through inter-disciplinary research that has a greater social impact. Some of its research domains include Visual Information Technologies, Human Language Technologies, Data Engineering, VLSI and Embedded Systems, Computer Architecture, Wireless Communications, Algorithms and Information Security, Robotics, Building Science, Earthquake Engineering, Cognitive Science, Computational Natural Sciences and Bioinformatics, Education Technologies, Power Systems, IT in Agriculture and e-Governance.