BigDataCloud (Industry Track) - Big Data Analytics for Industries

This meetup will feature the use, benefits & deployment of Big Data analytics platforms at various industries.

Agenda:

1. 6:00 pm – 6:30 pm:
   Registration & Mixer
   
   
2. 6:35 pm – 7:15 pm:
   Big Data Analytics for Health - Insights from the Healthcare Industry.
   - Charles Kaminski, LexisNexis
   
   
3. 7:20 pm –8:00 pm:
   Fail- Proofing Hadoop Clusters with Automatic Service Failover ( Financial Industry)
   - Michael Dalton, Ph.D., CTO, Co-founder, Zettaset Inc.
   
   
4. 8:05 pm – 8:25 pm:
   Big Data Analytics to the rescue of Dodd-Frank Financial Regulations - ( Financial Industry).
    - Shyam Sundar Sarkar, AyushNet
   
   
5. 8:30 pm to 9:00 pm:
   Big Data Analytics at Play - a " Social Gaming" industry perspective at Zynga.
   - Tim Piatenko, ex-Zynga, ex-eBay 
   

Topic Details:

- 6:35 pm – 7:15 pm:
Big Data Analytics for Health - Insights from the Healthcare Industry.
- Charles Kaminski, LexisNexis

LexisNexis Risk Solutions recently open sourced its big data analytics and delivery platform as HPCC Systems.  This system underpins our multi-billion dollar data services business and is used by enterprises across multiple industries as well as government and law enforcement.  This talk will introduce the HPCC Platform and a particular use case; how it was used to find potential Medicaid fraud.

- 7:20 pm – 8:00 pm:
Fail- Proofing Hadoop Clusters with Automatic Service Failover (Financial Industry)
- Michael Dalton, Ph.D., CTO, Co-founder, Zettaset Inc.

With the increase use of Hadoop comes an increase in the need for critical safeguards, especially in the financial industry where any data loss could mean millions in penalties.
What happens when parts of an Hadoop cluster goes down? How do Hadoop based solutions for the financial industry cope with NameNode failures?
 
We will share the failover issues we've encountered and  best practices for performing continuous health monitoring, best suited for the financial industry.
In addition, we will cover ZooKeeper-based failover for NameNode and other related SPOF services (e.g., JobTracker, Oozie, Kerberos).

- 8:05 pm – 8:25 pm:
Big Data Analytics to the rescue of Dodd-Frank Financial Regulations - ( Financial Industry).
 - Shyam Sundar Sarkar, AyushNet

This presentation describes implementation perspective about the new regulations that
specifically relate to the central clearing of OTC derivatives, and the repercussions
for confirmation/settlement flows, real-time reporting and risk management.
Big Data Analytics with cloud based Hadoop, Hbase, Hive along with BI tools will
be necessary for straight-through processing and realtime reporting.

- 8:30 pm – 9:00 pm:
Big Data Analytics at Play - a " Social Gaming" industry perspective at Zynga.
- Tim Piatenko, ex-Zynga, ex-eBay

Learn how Zynga uses analytics baked into the DNA of its social games to stay far ahead of the competition. We'll be looking at the infrastructure, tools, organizational and hiring choices Zynga makes to drive its success.

Presented by Tim Piatenko, a particle physicist from Caltech turned business analyst. An eBay and Zynga alum, fundamentally interested in understanding what drives human behavior in today's high-tech world.

LexisNexis will conduct a Give-Away!
Light snacks would be served