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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
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DTSTART:20141116T143000Z
DTEND:20141116T230000Z
LOCATION:390
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: With the emergence of the Internet of Everything in the commercial and industrial worlds and with the advances in device and instrument technologies in the science world, there is an urgent need for data scientists and scientists to be able to work more easily with extremely large and diverse data sets.=0ASciDB is an open-source analytical database for scalable complex analytics on very large array or multi-structured data from a variety of sources, programmable from R and Python.  It runs on HPC, commodity hardware grids, or in a cloud. We present an overview of SciDB’s array data model, programming and query interfaces, and math library.  We will demonstrate how to set up a SciDB cluster, ingest data from various standard file formats, design schema, and analyze data on two use cases: one from computational genomics and one using satellite imagery of the earth.  This tutorial will help computational scientists learn how to do interactive exploratory data mining and analytics on terabytes of data. During the tutorial, attendees will have an opportunity to describe their own data and key operations needed for analysis. The presenters can guide them through implementing their use case in SciDB.
SUMMARY:SciDB - Manage and Analyze Terabytes of Array Data
PRIORITY:3
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