MapR Technologies to Offer Insights into Open Source and Big Data Technologies at Berlin Buzzwords
Germany
MapR Technologies, Inc., the Hadoop technology leader, announced today that Chief Application Architect Ted Dunning and Chief Data Engineer Michael Hausenblas will present sessions on Apache Drill, recommendation algorithms and real-time learning at Berlin Buzzwords, taking place on June 3 – 4, 2013 at KulturBrauerei in Berlin, Germany.  Berlin Buzzwords is a conference for developers and users of open source software projects, focussing on the issues of scalable search, data-analysis in the cloud and NoSQL-databases.
MapR-led sessions at Berlin Buzzwords include:
“Apache Drill Implementation Deep Dive,” Monday, 3 June at 16:00
This presentation is an Apache Drill implementation deep dive including how ideas can be repurposed for a wide variety of other uses either by directly extracting code from Drill, or by using the philosophies and ideas in new forms.  Apache Drill is the open source project that aims to provide low latency interactive querying capability over large distributed datasets.  Presented by MapR’s Chief Data Engineer Michael Hausenblas  and Chief Application Architect Ted Dunning.   http://www.mapr.com/events/berlin-buzzwords

“Multi-modal Recommendation Algorithms,” Tuesday, 4 June at 11:50
Machine learning expert Ted Dunning will offer a presentation on “Multi-modal Recommendation Algorithms” including the basic mathematical structure of recommendation engines and how they can be extended to take account of many kinds of recommendations using a "pivot-set" representation.   http://www.mapr.com/events/berlin-buzzwords

“Real-time Learning for Fun and Profit,” Tuesday, 4 June at 16:50
Ted Dunning will talk about “Real-time Learning for Fun and Profit” and how real-time Bayesian learning can optimize real processes on web-sites, user interfaces, ad-targeting servers, back-end server farms, search engines or physical systems.   http://www.mapr.com/events/berlin-buzzwords

Ted Dunning, Chief Application Architect for MapR has previously held Chief Scientist positions at Veoh Networks, ID Analytics and at MusicMatch, (now Yahoo Music). Ted is responsible for building the most advanced identity theft detection system on the planet, as well as one of the largest peer-assisted video distribution systems and ground-breaking music and video recommendation systems. Ted has 15 issued and 15 pending patents and contributes to several Apache open source projects including Mahout, Hadoop, Zookeeper, Hbase™ and Drill.

Dr. Michael Hausenblas is Chief Data Engineer for MapR and as well as a Research Fellow at DERI, NUI Galway, Ireland where he leads a team of 10 people within the Linked Data Research Centre. Michael is the co-ordinator of the European Commission FP7 LOD Around-The-Clock (LATC) Support Action and is involved in several efforts in the Open Data realm as well as chairing and contributing to a number of Linked Data activities in W3C.

Berlin Buzzwords runs over the 3rd and 4th of June at KulturBrauerei in Berlin, Germany and offers more than 30 talks and presentations from international speakers specific to the three tags "search", "store" and "scale".

About MapR Technologies

Headquartered in San Jose, Calif., MapR provides the industry’s only Converged Data Platform that enables customers to harness the power of big data by combining analytics in real-time to operational applications to improve business outcomes. With MapR, enterprises have an unparalleled data management platform for undertaking digital transformation initiatives to achieve competitive edge. World-class companies have realized more than five times their return on investment using MapR. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are part of the global MapR partner ecosystem. For more information, visit www.mapr.com

Media Contacts

Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189
bwinkowski@maprtech.com

Kim Pegnato
MapR Technologies, Inc.
(781) 620-0016
kpegnato@maprtech.com

www.mapr.com/company/press-releases