BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T003000Z
DTEND:20121114T020000Z
LOCATION:255-BC
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: We will explore the challenges faced by companies and scientific researchers managing "big data" in increasingly diverse IT environments including local clusters, grids, clouds, and supercomputers, and present architectural and technology options for solving these challenges, informed by use cases from commercial organizations and academic research institutions. Participants will discuss key questions related to data management, and identify innovative technologies and best practices that researchers should consider adopting. Organizations including Ebay/Paypal, NASA, SGI and IDC will present commercial use cases; the University of Chicago and Argonne National Laboratory will discuss examples from bioinformatics, imaging based science, and climate change research.
SUMMARY:Managing Big Data: Best Practices from Industry and Academia
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T003000Z
DTEND:20121114T020000Z
LOCATION:255-BC
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: We will explore the challenges faced by companies and scientific researchers managing "big data" in increasingly diverse IT environments including local clusters, grids, clouds, and supercomputers, and present architectural and technology options for solving these challenges, informed by use cases from commercial organizations and academic research institutions. Participants will discuss key questions related to data management, and identify innovative technologies and best practices that researchers should consider adopting. Organizations including Ebay/Paypal, NASA, SGI and IDC will present commercial use cases; the University of Chicago and Argonne National Laboratory will discuss examples from bioinformatics, imaging based science, and climate change research.
SUMMARY:Managing Big Data: Best Practices from Industry and Academia
PRIORITY:3
END:VEVENT
END:VCALENDAR