"Big Data Analysis Patterns with Hadoop, Mahout and Solr" presented by Brad Anderson of MapR Technologies
Big Data Analysis Patterns: Tying real world use cases to strategies for analysis using big data technologies and tools.
Big data is ushering in a new era for analytics with large scale data and relatively simple algorithms driving results rather than relying on complex models that use sample data. When you are ready to extract benefits from your data, how do you decide what approach, what algorithm, what tool to use? The answer is simpler than you think.
This session tackles big data analysis with a practical description of strategies for several classes of application types, identified concretely with use cases. Topics include new approaches to search and recommendation using scalable technologies such as Hadoop, Mahout, Storm, Solr, & Titan.
Brad Anderson is with MapR Technologies, working as an engineer and solution architect. He assists clients in their use of MapR’s technology-leading Hadoop distribution. Brad has been wrangling data for 20 years, more recently building and using non-relational data stores. Previously, Brad has worked on a large-scale video-on-demand platform, smart grid analytics, a real-time audience participation platform, helped Cloudant build their hosted NoSQL offering based on CouchDB, and organized the NoSQL East 2009 conference in Atlanta.
The meeting will begin at 6:30pm allowing members time to network, arrive and enjoy pizza. At 7pm, BDUG will give an introductory welcome, and will be shortly followed by the presentation. After the presentation everyone has the option to head downstairs to Aja (restaurant and bar in the building) for networking and drinks after the meeting.
Parking at the One Alliance Center is $10 max. If you wish to go to Aja after the meeting they will validate part of your parking. If parking is a problem, some members park at Phipps Plaza for free and walk over. BDUG does NOT validate parking.