Hadoop is fast becoming an integral part of BI infrastructures to empower everyone in the business to affordably analyze large amounts of multi-structured data not previously possible with traditional OLAP or RDBMS technologies. This session will cover best practices for implementing Big Data Analytics directly on Hadoop. Topics will include architecture, integration and data exchange; self-service data exploration and analysis; openness and extensibility; the roles of Hive and the Hive metastore; integration with BI dashboards, reporting and visualization tools; using existing SAS and SPSS models and advanced analytics; ingesting data with Sqoop, Flume, and ETL.
VP Engineering — Karmasphere
Abe leads Engineering at Karmasphere. He has built a career developing Big Data and Hadoop solutions, having led engineering projects at Yahoo!, Google, Ning andAsk. He led engineering for the Ask.com Dictionary.com properties. At Ning he was an engineering director for key Hadoop-based solutions, the data services platform and systems management services. Abe managed development for the Google Apps Infrastructure, and at Yahoo! Abe managed development for Del.icio.us, Social Search Platform, Search Front-End Platform and Listings Platform. Abe holds a MS in Theoretical and Applied Mechanics from University of Illinois at Urbana-Champaign and a MS and BS in Mechanical Engineering from Cairo University.
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