Prime Dimensions Launches Hadoop 2.0 and YARN Solutions Offering

MCLEAN, Va., Dec. 11 – Prime Dimensions, LLC announces that it has established a new service offering for Hadoop 2.0 and YARN implementations in its Advanced Analytics Practice. YARN is a distributed data operating system and development platform that extends the batch processing functionality of MapReduce by allowing multiple types of applications to be deployed directly across Hadoop clusters. YARN represents a paradigm shift in processing, managing and analyzing Big Data.

The real benefit of YARN is that it allows Hadoop clusters to execute workloads beyond MapReduce. With YARN, Hadoop now has a generic resource-management and distributed application framework, in which multiple data processing applications can run natively in Hadoop. YARN provides extensibility and scalability in Hadoop by splitting the roles of the Hadoop Job Tracker into two processes: (1) the resource management controls access to the clusters resources (memory, CPU, etc.), and (2) the application manager controls task execution.

In conjunction with YARN, Prime Dimensions is also offering integration support for Apache Spark, an open source, in-memory data analytics platform that is compatible with Hadoop. Together, YARN and Spark make it possible to establish domain-specific enclaves over multi-tenant compute clusters, creating a virtualized data environment and unified analytics platform, as enterprises evolve from “systems of records” to “systems of engagement.” This often requires deploying in-memory, high performance, petascale technologies, but YARN and Spark offer new options for organizations seeking these analytic capabilities in Hadoop.

According to Michael Joseph, Prime Dimensions’ Founder and Managing Partner, “As Hadoop gains widespread adoption not only as a Big Data technology but also as a data warehouse augmentation strategy, its basic functionality is evolving to meet the demands of increased performance and high scalability. YARN is not simply a new release; it represents a revolutionary advancement of Hadoop. We see tremendous opportunity for the adoption of YARN and Spark as enterprise solutions for generating advanced analytics with reduced time-to-value. There will be significant demand to upgrade early adopters to Hadoop 2.0. Moreover, with the advanced features and capabilities of YARN, the use cases that arise from this new paradigm span across industries with seemingly profound, endless possibilities. We recognize the advantages of bringing together NoSQL, relational and/or in-memory solutions, both Open Source and proprietary. With this offering, we continue our tradition for helping clients assess and select the best technologies to establish a unified analytics environment.”