Big data, at the cross road of Cloud and High Performance Computing

Parviz PEIRAVI
Principal Architect – Enterprise Computing Enterprise Solution Sales Group Cloud Strategy and Architecture and Design Intel Corporation

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Abstract : Big Data crossing the chasm from hype to reality, hundreds of companies worldwide are using Big Data technologies and solutions to address the growing needs for collecting, processing and analyzing large volume of data. Across the range of big data applications; batch oriented and real-time analytics, streaming and complex event processing, data mining and visualization, enterprises are exploring opportunity to make their data actionable. Join us in this session at the cross road of Big Data, Cloud and HPC, reviewing the underlying technologies and usage models, new and upcoming hybrid solutions such as hadoop and Lustre, etc.

Biography : Parviz Peiravi is a Principal Architect with Intel Corporation responsible for Enterprise Infrastructure solutions and design. He is primarily responsible for designing and driving development of Big Data, Service Oriented Architecture, Cloud computing architectures in support of Intel’s focus areas within Enterprise Computing. Parviz has designed large scale Clusters using Oracle, Microsoft SQL Server, and IBM DB2, Data Grid and Cloud infrastructure using Grid, SOA and virtualization technologies. He has numerous certifications in Enterprise Architecture Framework, SOA, ITIL, XML\Web Services, VMware, Xen, Hadoop and Database design. His current focus is researching the application of Big Data, Virtualization, and SOA within Cloud Computing Infrastructure Framework. He is member of Cloud Computing Group, Cloud Security Alliance (CSA), DMTF, OGF, and IEEE. Parviz has been with Intel 16+ years and holds a degree in Computer and Electrical Engineering and a recipient of Intel Achievement Award (IAA).