Big Data Systems and Architecture
Data continue a massive expansion in scale, diversity, and complexity. Data underpin activities in all sectors of society. As informatics is the science of information, analytics is the science of data analysis. Achieving the full transformative potential from the use of data in this increasingly digital world requires not only new data analysis algorithms but also a new generation of systems and distributed computing environments to handle the dramatic growth in the volume of data, the lack of structure for much of it and the increasing computational needs of massive-scale analytics. In this talk, I will present IBM's Big Data architecture and systems as well as my view on research in the Big Data era.
Jian Li is a research staff member at IBM Research in Austin. He is the Chief Architect of Big Data Systems (China) when he is on company assignment with IBM Greater China Group. He holds a Ph.D. degree in Electrical and Computer Engineering from Cornell University. His current research centers on Big Data Analytics systems and their applications, such as Apache Hadoop, Twitter STORM, IBM BigInsights and InfoSphere Streams, etc on x86, PowerPC and other platforms. He has worked in the areas of architectural support for power- and variation-aware computing, interconnection network design for high-performance computing systems, workload-driven three-dimensional integration (3DI) architecture, cost-driven 3DI, architectural applications of non-volatile memory (NVM) and storage class memory (SCM), energy-efficient interconnection networks, data center networks, workload-optimized systems and Big Data analytics, with a strong emphasis on entertaining his family members in Austin, Texas. He serves as an adjunct professor at the Texas A&M University..
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