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Home Tag "MapReduce"

Latest Version of Red Hat OpenShift Container Platform Joins Infrastructure and Services Across Hybrid Cloud Environments

Red Hat
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Enterprise Kubernetes platform enables application creation from diverse services available on Amazon Web Services and on-premise to ease administrative challenges and accelerate hybrid cloud innovation Red Hat, Inc. (NYSE: RHT), the world’s leading provider of open source solutions, today launched Red Hat OpenShift Container Platform 3.7, the latest version of Red Hat’s enterprise-grade Kubernetes container […]

Fast Virtualized Hadoop And Spark On All-Flash Disks – VMware White Paper

VMware
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Best Practices for Optimizing Virtualized Big Data Applications on VMware vSphere 6.5 Best practices are described for optimizing Big Data applications running on VMware vSphere®. Hardware, software, and vSphere configuration parameters are documented, as well as tuning parameters for the operating system, Hadoop, and Spark. The Hewlett Packard Enterprise ProLiant DL380 Gen9 servers used in […]

Microsoft: Using Microsoft R Server Operationalization on HDInsight

Microsoft
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R Server on HDInsight cluster allows R scripts to use Spark and MapReduce to run distributed computations. You can develop a model and operationalize the model to make predictions by configuring Edge Node as One-Box. We have One-Click Deploy ARM Templates using which you can create R Server on HDInsight Cluster with EdgeNode configured as […]

AWS Video: Building Big Data Applications with Serverless Architectures

Amazon Web Services
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Building data processing applications is challenging and time-consuming, and often requires specialized expertise to deploy and operate. With serverless computing, you can perform real-time stream processing of multiple data types without needing to spin up servers or install software, allowing you to deploy big data applications quickly and more easily. Come learn how you can […]

Latest Red Hat Ceph Storage Release Expands Versatility as Object Store

Red Hat
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Red Hat, Inc. (NYSE: RHT), the world’s leading provider of open source solutions, today announced Red Hat Ceph Storage 2.3. This release, based on Ceph 10.2 (Jewel), introduces a new Network File System (NFS) interface, offers new compatibility with the Hadoop S3A filesystem client, and adds support for deployment in containerized environments. These improvements expand […]

Large Scale Machine Learning with Python Book

IT Books
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Learn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book Design, engineer and deploy scalable machine learning solutions with the power of Python Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework Build state-of-the-art models and develop personalized recommendations to perform […]

Red Hat Adds Open Source Might to Massachusetts Open Cloud’s Big Data Analysis

Red Hat
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Collaborative open cloud initiative built on backbone of Red Hat OpenStack Platform and Red Hat Ceph Storage Red Hat, Inc. (NYSE: RHT), the world’s leading provider of open source solutions, today announced the Massachusetts Open Cloud (MOC), an initiative dedicated to the creation of publicly-available cloud computing resources for running big data workloads, has standardized […]

Big-Data Analytics for Cloud, IoT and Cognitive Computing Book

IT Books
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their […]

Microsoft: Cloudera now supports Azure Data Lake Store

Microsoft
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With the release of Cloudera Enterprise Data Hub 5.11, you can now run Spark, Hive, and MapReduce workloads in a Cloudera cluster on Azure Data Lake Store (ADLS). Running on ADLS has the following benefits: Grow or shrink a cluster independent of the size of the data. Data persists independently as you spin up or […]

Microsoft Introduces H2O.ai on Azure HDInsight

Microsoft
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We are excited to announce that H2O’s AI platform is now available on Azure HDInsight Application Platform. Users can now use H2O.ai’s open source solutions on Azure HDInsight, which allows reliable open source analytics with an industry-leading SLA. To learn more about H2O integration with HDInsight, register for the webinar held by H2O and Azure […]

VMware: Updated Version of the Deployment Guide for Hadoop on VMware vSphere

VMware
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The new Deployment Guide for Virtualizing Hadoop on VMware vSphere describes the technical choices for running Hadoop and Spark-based applications in virtual machines on vSphere. Innovative technologies and design approaches are appearing very regularly in the big data market; the pace of innovation has not slowed down for sure! A prime example of this innovation is […]

BMC and Turbonomic Partner to Accelerate Digital Business

Turbonomic
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BMC is a leader in the IT Operations Management space serving over 80% of Fortune 500 organizations today.  For decades BMC has been empowering these organizations with industry leading capacity optimization solutions. The TrueSight Capacity Optimization product provides data and analytical capabilities to for many of the core IT operational processes including: Reserving and scheduling […]

Nutanix: Piece of Mind for your Workloads with VM-Centric Flash Mode Support

Nutanix
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Nutanix Enterprise Cloud solutions employ a variety of advanced mechanisms designed to deliver the highest possible application performance and ensure that the underlying infrastructure remains invisible. Because storage plays such a vital role in the performance equation, server-attached solid state storage, also referred to as flash storage, is used both as a high-performance read cache, […]

Big Data Performance on vSphere 6 – Best Practices for Optimizing Virtualized Big Data Applications White Paper

VMware
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Best Practices for Optimizing Virtualized Big Data Applications Best practices are described for optimizing Big Data applications running on VMware vSphere®. Hardware, software, and vSphere configuration parameters are documented, as well as tuning parameters for the operating system, Hadoop, and Spark. The Dell 12-server cluster (10 of which were dedicated to Hadoop worker processes) used in the test […]

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