Topic:
Big Data 2.0 Processing Engines: The Time After Hadoop
For a decade, the MapReduce framework, and its open source realization, Hadoop, has emerged as a highly successful framework that has created a lot of momentum such that it has become the defacto standard of big data processing platforms. However, in recent years, academia and industry have started to recognize the limitations of the Hadoop framework in several application domains and big data processing scenarios such as large scale processing of structured data, graph data and streaming data. Thus, we have witnessed an unprecedented interest to tackle these challenges with new solutions which constituted a new wave of mostly domain-specific, optimized big data processing engines. In this talk, we refer to this new wave of systems as “Big Data 2.0 processing systems”. We provide a taxonomy and analysis of the state-of-the-art in this domain. In addition, we identify a set of the current open research challenges and discuss some promising directions for future research.
Bio
Prof. Sherif Sakr is currently an associate professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO (formerly NICTA). He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. In 2011, he held a Visiting Researcher position at the eXtreme Computing Group, Microsoft Research Laboratories, Redmond, WA, USA. In 2012, he held a Research MTS position in Alcatel-Lucent Bell Labs. In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate. Sherif has published more than 90 refereed research publications in international journals and conferences, (co)-authored three books and co-edited three other books.