SAN JOSE, CA--(Marketwire - Oct 9, 2012) - MapR Technologies, Inc., the provider of the open, enterprise-grade distribution for Apache Hadoop, today announced it will participate in the Hands-On-Lab Program at Storage Networking World (SNW) Fall '12, taking place October 16 - 19 at the Hyatt Regency Silicon Valley/Santa Clara Convention Center in Santa Clara, CA. Titled, "Moving, Managing and Analyzing Big Data," this hands-on lab will take place on Tuesday, Wednesday and Thursday during the show.
Russ Lankenau, solution architect, MapR Technologies
Moving, Managing and Analyzing Big Data
Tuesday, October 16, 2012 at 3:15 - 5:15 pm
Wednesday, October 17, 2012 at 2:00 - 3:45 pm
Thursday, October 18, 2012 at 8:00 - 10:15 am; 3:10 - 5:10 pm
SNW Fall '12 at the Hyatt Regency Silicon Valley/Santa Clara Convention Center in Santa Clara, CA.
This lab will enable participants to understand how Hadoop can be used to solve "real-life" Big Data problems. Participants will gain hands-on experience with Map Reduce techniques and Hadoop technologies such as Pig and Hive. In addition, a live Hadoop cluster provisioned using Amazon's Elastic Map Reduce (EMR) service will be utilized to load and process a sample data set. Through this sample data set, users will get a live demonstration of how different pieces within the Hadoop ecosystem come together to provide value to the business user.
To learn more about SNW Fall '12, please visit here.
About MapR Technologies
MapR delivers on the promise of Hadoop, making managing and analyzing Big Data a reality for more business users. The award-winning MapR Distribution brings unprecedented dependability, speed and ease-of-use to Hadoop. Combined with data protection and business continuity, MapR enables customers to harness the power of Big Data analytics. Leading companies including Amazon, Cisco, EMC and Google partner with MapR to deliver an enterprise-grade Hadoop solution. Investors include Lightspeed Venture Partners, NEA and Redpoint Ventures. Connect with MapR on Facebook, LinkedIn, and Twitter.