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Big Data Architecture Design
Co-sponsored by: Subramaniam Ganesan
Hadoop open source software suite has been instrumental in ushering in the paradigm shift from classical to “Big Data” computing, both for its’ creators and a broad audience of commercial, research, industrial & academic users. While it is usually the core framework that can be part of a Big Data platform, it does have a number of limitations. This talk will address some of those limitations and how alternate pre-existing and emerging solutions are being incorporated with Hadoop to satisfy certain scaling and enterprise class requirements in modern Big Data architectures.
Speaker(s): Brian Finley, Sharan Kalwani
Agenda:
6:00 PM – Welcome and Introductions, Chapter business update
6:15 PM – Technical Talk
7:30 PM – Q & A
7:45 PM – Wrap Up
7:50 PM – Autographed copy of book to be awarded to signed in attendees!
7:50 to close – Networking
Location:
Room: 1330 PEC
Bldg: Professional Education Center
1330 PEC
John Montieth Blvd, University of Michigan
Dearborn, Michigan
48128