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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