Practical Solutions for Big Data Analytics
Tuesday, April 29, 2014 | 12:30-4:00pm
About this Workshop
The rapid growth of data in biomedical research is placing massive demands on sequencing centers, analysis labs, and other high-performance computing facilities. These facilities must provide robust tools and services that can continue to scale as the needs of researchers increase. Further, as collaborative research becomes commonplace, the ability to move and share large data sets between institutions is a fundamental requirement for many researchers. The workshop aims to provide attendees with solutions to address the emerging challenges in dealing with big data in the context of genomics analysis. Attendees will learn about the Globus service for file transfer and sharing, and see how tools such as Galaxy can take advantage of research data management services to streamline and accelerate analysis workflows. The workshop will be a mix of presentation and hands-on exercises where attendees can gain experience with the various tools and services described.
12:30pm Challenges for Biomedical Analysis at Scale12:45pm Best Practices and Solution Components1:00pm Introduction to Globus and Demonstration of File Transfer and Sharing1:30pm Exercise: Simple File Transfer and Sharing2:00pm Refreshment Break2:15pm Case Study2:30pm Managing Endpoints on High Performance Systems2:45pm Exercise: Server Endpoint Configuration and Use3:15pm Integrating Data Management and Analysis Services in the Cloud3:45pm Interactive Q&A and Session Wrap-Up
Vas Vasiliadis, Director, Products, Computation Institute, University of Chicago and Argonne National Lab
Vas Vasiliadis is Director of Products, Communication and Development at the Computation Institute (CI). In his current role, Vas works with the leadership team to define overall strategy for the CI, and to communicate the CI's vision, projects, and products to stakeholders and funding organizations. Vas has over 25 years of experience in operational and consulting roles, spanning strategy, marketing and technology. Most recently, Vas was a principal at Strategos, the innovation consulting firm founded by Gary Hamel, where he led Fortune 100 management teams in defining their growth agenda. Prior to Strategos, Vas led marketing efforts at Univa, a leading provider of grid and cloud computing solutions. Vas joined Univa's founding team shortly after inception and was instrumental in defining the product vision, raising venture capital and launching the company's initial products.
Ravi Madduri, Fellow, Computation Institute, University of Chicago and Argonne National Lab
Ravi K Madduri is a Fellow at the Computation Institute at the University of Chicago and Project Manager in the Mathematics and Computer Science Division at Argonne National Laboratory. Ravi is one of three key contributors to the National Institutes of Health $100M Cancer Bio-Informatics Grid (caBIG), which links 60 NIH-funded cancer centers and clinical sites engaged in cancer research. For his efforts in project management, tool development, and collaboration, Ravi received several Outstanding Achievement Awards from NIH in recognition of his work on caBIG project management, tool development, and collaboration. Ravi is actively involved in developing innovative software and networking technology and is a lead architect on the scientific workflow design and implementation project under the caGrid toolkit. Ravi is one of the lead developers on the Globus Toolkit. Ravi finished his Masters in Computer Science from Illinois Institute of Technology in 2002 and has been working at Argonne National Laboratory. He has presented at several bioscience conferences including Bio-IT World and Bio-IT Cloud.