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MPP Appliance or Hadoop/Hive? What's Your Enterprise Data Warehouse Solution?

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Shekhar V. and Avinash R.
MPP Appliance or Hadoop/Hive? What's Your Enterprise Data Warehouse Solution?

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Summary: MPP(Massive Parallel Processing) appliance and Hadoop are two main approaches in data warehouse landscape. In this session, we will review the architecture of traditional MPP (Microsoft PDW/Netezza/Teradata) and Hadoop ecosystem, and the most relevant differentiation among those platforms. We will also discussion the use case of each system and provide best process and guidance for selecting an suitable solution for your data warehouse need.

About John: John Yang is currently data solution architect for US Airways. His areas of expertise include big data, data mining, data warehouse architecture, business Intelligence and predictive analysis. he is also the part time research associate with ASU Biomedical Informatics Department, working towards promoting clinical research data warehouse to research community.

Location:

The University of Advancing TechnologyTheatre Room2625 W. BASELINE RD., Tempe, AZ

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The University of Advancing Technology
2625 W. BASELINE RD. · Tempe, AZ