Session details how MapReduce and Hadoop provide new scaling opportunities for analyzing data
MapR Technologies Inc., announced today that Chief Application Architect, Ted Dunning, will be presenting the session, "Big Data Revolution: Benefit from MapReduce Without the Risk," at the O'Reilly Strata Conference: Making Data Work in New York City.
The session will discuss how organizations are beginning to take advantage of MapReduce and Hadoop to provide new scaling opportunities, helping analyze and derive business value from large amounts of data that was often simply discarded. There are huge differences in the fundamental approaches being taken to the basic problems of how data should be accessed and analyzed. Although these profound differences are what make these new technologies hugely effective, they also make integration between conventional and new approaches obscenely difficult.
Dr. Dunning's session will provide detailed descriptions of how to use new technologies to:
- Get data into and out of the Hadoop cluster as quickly as possible;
- Allow real-time components to easily access cluster data;
- Use well-known and understood standard tools to access cluster data;
- Make Hadoop easier to use and operate;
- Capitalize on existing code in MapReduce settings; and
- Integrate MapReduce systems into existing analytic systems.
Who: Ted Dunning, Chief Application Architect, MapR Technologies
What: O'Reilly Strata Conference Session, Friday, September 23 at 11:30am EDT
Where: New York Hilton; Mr. Dunning's presentation will be in the Murray Hill Suite B
The Strata Conference covers the latest and best tools and technologies for data scientists, along the entire data supply chain—from gathering, cleaning, analyzing, and storing data to communicating data intelligence effectively. With hardcore technical sessions on parallel computing, machine learning, and interactive visualizations; case studies from finance, media, healthcare, and technology; and provocative reports from experts and innovators, Strata Conference showcases the people, tools, and technologies that make data work.