cheap nfl jerseys china cheap nfl jerseys free shipping wholesale nfl jerseys china wholesale jerseys from china cheap nfl jerseys free shipping cheap nfl jerseys for sale cheap jerseys free shipping wholesale nfl jerseys from china cheap nfl jerseys sale cheap nike nfl jerseys china wholesale jerseys free shipping cheap nfl jerseys wholesale wholesale nfl jerseys online cheap nfl jerseys wholesale china jerseys wholesale cheap coach handbags outlet authentic designer handbags cheap coach handbags outlet cheap coach purses outlet discount coach bags coach bags sale coach purse outlet cheap real coach purses coach handbags sale online coach purse outlet michael kors outlet online store cheap michael kors bags cheap michael kors purse michael kors factory outlet online cheap michael kors handbags cheap michael kors purses michael kors bags outlet online cheap michael kors purse michael kors handbags discount

Experts to present on Telefonica case study, innovative algorithms and building better big data stacks

London, England – 12th November 2014 – MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop® and NoSQL, today announced it will deliver several presentations at the Strata + Hadoop World conference in Barcelona. Experts from MapR will present on several technical topics such as a case study that addresses ETL and aggregation issues, innovative algorithms to reduce resource consumption, and an examination of big data processing stacks.

As a sponsor of this event, MapR will also showcase its top-ranked Distribution for Hadoop in booth number 217 at the Strata + Hadoop World conference, taking place at the  Centre Convencions Internacional de Barcelona in Spain from 19-21 November.

Details on presentation dates and times are as follows:

Wednesday, 19 November, 17:30   

Michael Hausenblas, chief data engineer for EMEA at MapR, will present: “Apache Spark for the Internet of Things.”  In this session Hausenblas will look at the capabilities of Apache Spark in the context of writing applications for the Internet of Things (IoT). He will aim to answer the following questions: How can we build IoT apps using Apache Spark; what are the challenges in this domain? How does Apache Spark make our (developer’s) life easier in this respect?

Thursday, 20 November, 16:05

Michael Hausenblas of MapR will present: “Opportunities and Challenges of Data Processing in the Internet of Things (IoT).” In this talk Hausenblas will discuss opportunities and challenges of data processing in the context of the Internet of Things (IoT). As the uptake of IoT applications increases, practitioners start to document best practices in terms of processing data from IoT sources from constraint devices to smart phones.

Friday, 21 November, 16:05

Michael Hausenblas of MapR and Cindy Lamm, data scientist at comSysto, will present: “Data, Data Everywhere and Only MapReduce to Drink.” This talk will describe implementing a full-scale application applied to a large anonymised dataset from the mobile operator Telefonica. In the course of building this application, the project faced and solved classic ETL and aggregation problems in a MapReduce setting. The presentation looks at innovative techniques for integrating diverse tools including MongoDB, the statistical system R, Hadoop MapReduce and a project-optimised database known as jumboDB.

Friday, 21 November, 16:55

Ted Dunning, chief application architect at MapR, will present: “Doing the Impossible, Almost (A survey of approximation algorithms that make queries vastly faster).” Dunning looks at techniques for computing various quantities such as medians or the number of unique elements that typical require a lot of time, memory or both.  This session examines new algorithms that aim to reduce resource consumption and how they can be applied to practical problems like anomaly detection.

Friday, 21 November, 17:45

Jim Scott, enterprise architecture strategist at MapR and cofounder of the Chicago Hadoop Users Group, will present: “Resistance is Futile: The Next Generation Big Data Architecture.” In this informative session, Scott examines how Apache Mesos, Apache Hadoop, Apache Spark and custom enterprise applications can create a stack that is greater than the sum of each of the pieces.

About MapR Technologies
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 500 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Amazon, Cisco, Google and HP are part of the broad MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. MapR is based in San Jose, CA. Connect with MapR on Twitter, LinkedIn, and Facebook.

# # #

Comments are closed.