MapR Technologies to Host Hands-On-Lab at SNW Fall 2012 on Big Data Analytics
October 09, 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.
Who: Russ Lankenau, solution architect, MapR Technologies
What: Moving, Managing and Analyzing Big Data
When: 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
Where: SNW Fall ?12 at the Hyatt Regency Silicon Valley/Santa Clara Convention Center in Santa Clara, CA.
What: 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.
How: To learn more about SNW Fall ?12, please visit here.
About MapR Technologies
MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more: mapr.com.
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