Abstract Big Data has become a hot topic in the last few years in both industry and the research community. For the most part, these developments were initially triggered by the requirements of Web 2. Both technical and non-technical issues have continued to fuel the rapid pace of developments in the Big Data space.
Open source and non-traditional software entities have played key roles in the latter. As it always happens with any emerging technology, there is a fair amount of hype that accompanies the work being done in the name of Big Data. In this panel, we will discuss and debate the developments in Big Data and try to distill reality from the hype! Moderator: C. Mohan has been an IBM researcher for 32 years in the information management area, impacting numerous IBM and non-IBM products, the research and academic communities, and standards, especially with his invention of the ARIES family of locking and recovery algorithms, and the Presumed Abort commit protocol.
He is an inventor of 40 patents. Mohan is a frequent speaker in North America, Western Europe and India, and has given talks in 40 countries. He also spent a dozen years teaching at the University of Wisconsin-Madison, five years at the IBM Almaden Research Center working on object-relational databases, and a year and a half at e-commerce platform startup Propel Software during the infamous Internet bubble.
Codd Innovations Award. His current interests all center around data-intensive computing and scalable data management a. Big Data. His current areas of interest are enterprise data analytics, self-manageability and multi-tenant technology for cloud database services.
Surajit received his Ph. Tech from the Indian Institute of Technology, Kharagpur. Ashish works in the Ads Backend Infrastructure group, where he works on numerous very large scale distributed system problems, including continuous event processing, peta-byte scale storage engines, big data query processing, experiment analysis, etc.
