MapReduce and Oracle
Tom Plunkett, Oracle
Several different techniques for connecting Hadoop clusters with Oracle databases will be discussed. This will include both batch-oriented processes for loading information as well as exposing a Hadoop cluster as an external table for an Oracle database. The presentation will also discuss a prototype for in-database MapReduce.
Tom Plunkett is a senior consultant with Oracle and is the big data technical lead for the U.S. Federal Government account. In 2009, Tom led a team that competitively won a MapReduce research project for the Office of the Secretary of Defense. In 2010, Tom designed and co-taught a graduate level computer science course on MapReduce for Virginia Tech`s computer science department. Tom is the lead author of the Oracle Exalogic Elastic Cloud Handbook (Oracle Press, 2012). Tom has presented at over thirty conferences and delivered hundreds of presentations around the world. Previously, Tom worked for IBM, taught computer science for Virginia Tech, and practiced patent law for a law firm. Tom has a B.A. and a J.D. from George Mason University, and a M.S. in Computer Science from Virginia Tech.
MapR's NFS Connector
Keys Botzum, MapR
MapR makes Hadoop a more open platform by supporting industry-standard interfaces, including NFS and ODBC. The NFS interface enables users to leverage standard file-based applications, and makes it easier to get data into and out of the cluster, while the ODBC interface enables users to leverage standard BI tools and query builders. This talk covers the motivation for supporting industry-standard interfaces as well as several real-world use cases. In addition, this talk explains the technical details behind these capabilities and how they actually work.
Keys Botzum is a Senior Principal Technologist with MapR Technologies. He has over 15 years of experience in large scale distributed system design. Mr. Botzum has worked with a variety of distributed technologies, including Sun RPC, DCE, CORBA, Java EE, AFS, and DFS. Recently, he has been focusing on Hadoop and related technologies. Previously he was a Senior Technical Staff Member with IBM and a respected author of many articles on WebSphere Application Server as well as a book. He holds a Masters degree in Computer Science from Stanford University and a B.S. in Applied Mathematics/Computer Science from Carnegie Mellon University.
Similar to an un-conference, the audience will suggest topics and experts to speak on them. Then we will hold a moderated discussion on the topics.
6:00-7:00 - Snacks and Networking
7:00-7:15 - Announcements
7:15-7:45 - First Speaker
7:45-7:50 - Break
7:50-8:20 - Second Speaker
8:20-8:50 - Unpanel