Big Data Architecture Design ๐Ÿ—“

meeting

Big Data Architecture Design

Innovative Approaches & Design Challenges for Big Data Architectures by Brian Finley, Lenovo

Hadoop open source software suite has been instrumental in ushering in the paradigm shift from classical to โ€œBig Dataโ€ computing, both for itsโ€™ 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.
Date and Time

Date: 10 May 2017
Time: 06:00 PM to 08:00 PM
All times are US/Eastern
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Location

John Montieth Blvd
University of Michigan
Dearborn, Michigan
United States 48128
Building: Professional Education Center
Room Number: 1330 PEC
Click here for Map
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Contact

Email event contact
Sharan Kalwani
sharan.kalwani@ieee.org
Co-sponsored by Subramaniam Ganesan
Registration

No Admission Charge
Starts 12 April 2017 12:00 AM
Ends 10 May 2017 03:00 PM
All times are US/Eastern
Menu: Vegetarian Pizza, Cheese Pizza, Pepperoni Pizza
Register Now

Speakers

Brian Finley

Brian Finley of Lenovo

Topic: Big Data Architecture Innovative Design Challenges
Sharan Kalwani

Sharan Kalwani of IEEE

Topic: Future Events: IEEE-Computer Society SE Michigan Chapter

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
7:45 to close – Networking

IEEE Computer Society SEM Chapter Presentation

View IEEE CS SE Michigan Flyer Final