[May 16, 2013] Canada : Concurrent, Inc. Partners with MapR Technologies to Drive Mass Enterprise Hadoop Adoption [TendersInfo (India)] Tweet (TendersInfo (India) Via Acquire Media NewsEdge) Concurrent, Inc., the enterprise Big Data application platform company, today announced a partnership with MapR Technologies, Inc. , the Hadoop technology leader, to expand usage of Apache Hadoop in the enterprise. Under this partnership, the MapR Distribution for Apache Hadoop has been certified compatible with Concurrent s Cascading application framework and is now supported for production use by Concurrent s customers. The MapR platform will also include an open-source application Multitool, based on Cascading, which allows users to search, find and process data files from the command line across a Hadoop cluster. Apache Hadoop open source has been adopted quickly in new economy companies, but the requirement to write and manage complex MapReduce jobs and the inability to integrate the analytics with enterprise applications have slowed the broader mass adoption. By combining the MapR dependability, data protection and performance innovations with the power and broad platform support of Concurrent s Cascading application framework, the two companies are bringing a simple-to-use, enterprise-grade development framework and deployment platform together for large-scale data analysis. The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is the only distribution that enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR editions. Leading Fortune 100 and Web 2.0 companies, across industries, use MapR to analyze hundreds of billions of objects a day. MapR s broad partner ecosystem includes market leaders such as Amazon, Cisco and Google. Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications. (c) 2013 Euclid Infotech Pvt. Ltd. Provided by Syndigate.info an Albawaba.com company [ Back To TMCnet.com's Homepage ]