MapR Plans Sessions to Highlight Impact of Hadoop on Competitive Advantage
February 22, 2013
By Shamila Janakiraman
, TMCnet Contributor
MapR Technologies, a specialist in Hadoop, plans to highlight the impact of Hadoop on a company’s competitive advantage in a series of sessions. Hadoop was created to analyze different types of big data covering data files that are structured or unstructured, logs, pictures, audio files, communications records and e-mail, which are transferred over networks every day.
MapR Distribution is a product that provides optimum dependability, speed and ease-of-use to Hadoop and will be showcased at the conference, which will also feature sessions by executives from MapR.
The company’s CEO, John Schroeder, will be delivering a keynote address titled, “Hadoop: Big Results” at the O’Reilly Strata Conference, “Making Data Work,” that is scheduled to take place from Feb. 26 to 28 , 2013, at the Santa Clara Convention Center, in Santa Clara, CA (News - Alert).
Schroeder said, “The excitement about big data is not around the data volumes or variety or velocity. The excitement stems from the results: the impact on revenue, the decrease in costs and the big gains in competitive advantage that are the result of using Hadoop and HBase in mission critical applications.”
On February 27, MapR’s chief application architect, Ted Dunning, will present a session titled, “Expect more from Hadoop.”
This session will address the problems faced by enterprises when they deploy Hadoop owing to too many data sources and not enough integration to deal with the variety of their critical data. The session will highlight how some companies have integrated Hadoop, NoSQL (HBase) and enterprise sources on one platform.
MapR Director of Product Management, Tomer Shiran, will present a session titled, “Introduction to Apache Drill” on Feb. 27. MapR’s Apache Drill project is an interactive query system that helps analyze large datasets with an inexpensive and flexible solution. Shiran will provide an overview of Apache Drill and details on its architecture and roadmap in this session.
Recently, MapR collaborated with HP to develop, configure and test a Reference Architecture for big data workloads built on HP ProLiant Generation 8 (Gen8) servers, which continuously analyze thousands of system parameters to optimize application performance, proactively improve uptime and give insight into every aspect of IT infrastructure.
Edited by Rachel Ramsey