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Going from Hadoop to Spark: A Case Study

February 23, 2015 @ 6:45 pm

Sujee Maniyam, Co-Founder, Elephant Scale

Agenda 

*** Bring ID (e.g. Driver’s License) for eBay Security ***  
6:30 Doors Open, Food & Networking  
7:00 Presentation  
*** Please arrive by 7 PM due to Security ***

Event Details

Spark is an up-and-coming distributed computing platform in Big Data and it has a lot of momentum going for it. The venerable platform for Big Data is Apache Hadoop — deployed widely and can scale to Petabyte data sizes. So can the new-comer Spark be a viable replacement for Hadoop?  Should you skip Hadoop and go to Spark?

In this talk, I will walk you through a case study of moving from Hadoop to Spark. We will compare Hadoop and Spark side by side and highlight their strong points and advantages.  And I will present a balanced assessment on which platform might be better for particular needs.

Speaker Bio

Sujee Maniyam is a hands-on expert and instructor in Big Data technologies (Hadoop, NoSQL and Cloud). Sujee has authored and contributed to open source projects. He is an author of ‘Hadoop illuminated’ (an open-source book on Hadoop) and ‘HBase Design Patterns’.

Sujee is a founder and principal at Elephant Scale that specializes in  consulting and training around Big Data technologies.  Sujee’s work can be found @ http://sujee.net

http://www.linkedin.com/in/sujeemaniyam

Event page provided by ACM
https://www.sfbayacm.org/event/going-hadoop-spark-case-study

Details

Date:
February 23, 2015
Time:
6:45 pm
Event Category:
Website:
https://www.meetup.com/SF-Bay-ACM/events/220032641/

Organizer

SF Bay ACM Chapter
Website:
https://www.meetup.com/SF-Bay-ACM/

Venue

eBay Whitman Campus, Community Building (Voices Conference Room)
2065 Hamilton Ave
San Jose, CA 95125 US
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