Keynotes

Abstract:

The data from tens of millions of active mobile devices gives us an unprecedented view into human mobility. Study of anonymized, aggregate data from these devices allow insight that can greatly benefit our understanding of society while preserving individual privacy rights. I'll discuss some projects at AT&T using anonymous data from mobile devices to inform urban planning and sustainability measures through data visualization and statistical analysis of traffic trajectories and user clustering.

Bio:

Chris Volinsky is Assistant Vice President - Big Data Research in AT&T Labs in Bedminster, N.J. Chris got his PhD in Statistics from the University of Washington in 1997. He joined AT&T in 1997 and became Director of the Statistics Research Department in 2004. His research at AT&T focuses on large scale data mining: recommender systems, social networks, statistical computation, and anomaly detection. In 2009, Chris was a member of the 7-person, 4-country team BellKor's Pragmatic Chaos that won the $1M  Netflix Prize, an open competition for improving Netflix' online recommendation system. He enjoys using data to dig into interesting scientific problems and providing insight into the answers through data exploration, visualization, and statistical analysis.

Read about Chris's big data research at his website.

Abstract:

Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.

Bio (from http://www.cloudera.com/content/cloudera/en/about/management.html):

Before co-founding Cloudera in 2008, Amr (@awadallah) was an Entrepreneur-in-Residence at Accel Partners. Prior to joining Accel he served as Vice President of Product Intelligence Engineering at Yahoo!, and ran one of the very first organizations to use Hadoop for data analysis and business intelligence. Amr joined Yahoo after they acquired his first startup, VivaSmart, in July of 2000. Amr holds a Bachelor’s and Master’s degrees in Electrical Engineering from Cairo University, Egypt, and a Doctorate in Electrical Engineering from Stanford University.

For more about Amr Awadallah, check out his website.

Abstract:

Enterprise data management have seen continuous growth of complexity over multiple decades by adding vertical and horizontal tiers of caching and view materializations.  With the advent of enterprise-scale in-memory database technology exploiting commoditized supercomputing power of modern multi-core cluster hardware, we are now at the inflection point that we can rearchitect the entire enterprise information system to streamline information flow for real-time decision making.  In this talk, I will review the recent advances in hardware and software and sketch rooms for further innovation toward real-time big data processing.

Bio:

Sang Kyun Cha is a professor, an innovator, and an entrepreneur. He worked on three generations of commercialized in-memory database technology since he joined Seoul National University (SNU) in 1992. In 2000, he founded Transact In Memory, Inc. with students to develop his second-generation system called P*TIME with extreme OLTP scalability. With his vision of enterprise in-memory database, in 2005, SAP quietly acquired Transact In Memory, Inc. and continued investment in Korean team. With SAP’s in-house analytics column store TREX, P*TIME served as a corner stone of building SAP HANA, which was announced in 2010 and generally became available in June 2011. SAP HANA is the first enterprise-wide in-memory database system enabling real-time analytics over transactionally integrated distributed row and column stores. Today, SAP and many other companies run ERP, CRM, business warehouse on HANA in-memory database. By SAP’s request, Prof. Cha led SAP’s Korean HANA development in tight collaboration with German colleagues. With his experience, Prof. Cha serves on the board of Korea Telecom and the Finance Committee of SNU Foundation, and leads the formation of the trans-disciplinary Big Data Research Institute at SNU. Prof. Cha received his Ph.D. in database systems from Stanford University, and received his BS and MS from SNU. Prof.  Cha is a General Co-Chair of IEEE Data Engineering Conference to be held in Seoul, Korea, April 13-16, 2015.