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May 01, 2017
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ASU’s Data-Driven Innovation to Transform Society

With the San Jose DataWorks Summit (June 13-15) just two months away, we’re busy finalizing the lineup of an impressive array of speakers and business use cases. This year our Enterprise Adoption Track will feature Jay Etchings, Director of Operations for Research Computing at Arizona State University.

In February we announced Jay’s new book, “Strategies in Biomedical Data Science,” that describes what medical researchers can accomplish when they have easy access to petabytes of genomics for big data in medicine.

Jay has been instrumental in defining and delivering the distributed storage-compute environment enabling groundbreaking cancer research, through integration of four petabytes of genomics data, at Arizona State University’s Complex Adaptive Systems Initiative. You can read the full case study here, and watch the video below.

 

This June, join Jay Etchings in San Jose as he presents:

An Interdisciplinary Approach to Research within the Educational Institution — Data-Driven Innovation to Transform Society

Abstract:
Universities are critical to our nation’s ability to innovate and remain competitive in the global economy. High-Performance Computing (HPC) and Data Intensive Computing (Big Data) have merged into offerings now known as Research Computing. The primary objective of Research Computing at Arizona State University (ASU) is to ensure that the University can adequately support science and engineering communities as well as underserved domains in the social sciences, arts, and digital humanities. Today’s grand challenges and most complex problems are interdisciplinary and they demand a heterogeneous tool set.

Arizona State University was recently named the “Most Innovative University” in the US. Although Big Data, data-intensive computing, and high-throughput analytics are now the commonplace at most institutions, ASU has deployed a multi-tenant model, that provides secure, ubiquitous Hadoop access to a large community of researchers.

In this session, Jay Etchings will demonstrate how the University deployed and maintains democratized access to a large catalog of resources, workspaces, tools and data. Jay will cover cyberinfrastructure and precision medicine, non-obvious relationship analysis of ceramics from the Bronze Age, dynamic provisioning for ubiquitous access and social good, and protein analysis in Apache Spark.

 

Be sure to register for the DataWorks Summit to catch this presentation and many others!

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