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Build Your Hybrid Enterprise with NetApp and Amazon Web Services

Published By: NetApp     Published Date: Nov 13, 2017
This paper desribes key ways to accelerate business transformation by using the cloud for more workloads and controlling your data to keep critical data secure and compliant.
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NetApp

Building a data lake on Amazon Web Services (AWS)

Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS

Building a Data Lake on AWS

Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services

Building a Data Lake on AWS

Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services

Building Big Data Storage Solutions (Data Lakes) for Maximum Flexibility

Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services

Business Value of Amazon Redshift

Published By: Amazon Web Services     Published Date: Jul 25, 2018
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.
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Amazon Web Services

Cambiando Vidas: El futuro de la asistencia sanitaria en la nube

Published By: AWS     Published Date: Sep 23, 2019
Tanto si pertenece a un hospital público como a una compañía farmacéutica internacional, Amazon Web Services (AWS) le ayuda a agilizar procesos, mejorar la colaboración y seguridad, crear un entorno de experimentación e impulsar la innovación tecnológica. Las organizaciones del sector de la asistencia sanitaria y de las ciencias biológicas recurren a AWS para todo lo relacionado con el almacenamiento básico y los sistemas de información clínica. Y vamos más allá. Nuestro objetivo es respaldar y capacitar a los expertos para que dispongan de todo lo necesario para poder salvar vidas. Buscamos el compromiso mutuo en cada parte del proceso. Cuando es la vida lo que está en juego, solo nos conformamos con lo mejor. Descubra el futuro de la asistencia sanitaria con la nube de AWS.
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AWS

Carbonite Cloud Migration: Technical Guide

Published By: Carbonite     Published Date: Aug 02, 2017
Carbonite Cloud Migration Powered by DoubleTake is an online service that enables migrations from any physical, virtual or cloud-based environment into VMware vSphere, vCloud Director, OpenStack, Amazon Web Services EC2 or Microsoft Azure infrastructure as a service (IaaS) cloud environments. The webbased console provides automated, centralized migration to the cloud. This document provides a detailed technical briefing on the functionality and use of Carbonite Cloud Migration and assumes that the reader will have at least a basic understanding of infrastructure as a service (IaaS).
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carbonite, cloud, cloud-based environment, iaas. cloud migration
    
Carbonite

CenturyLink Hyperscale Testing: Final Engagement Report

Published By: CenturyLink     Published Date: Jan 02, 2015
This report summarizes testing of CenturyLink Cloud Hyperscale compute instances in April 2014. Compute instances from Amazon Elastic Compute Cloud (EC2), Rackspace Cloud, as well as non-Hyperscale CenturyLink Cloud instances were included in testing for comparison purposes. CenturyLink engaged CloudHarmony to conduct this testing and provide independent performance analysis and comparisons of these services. This report summarizes the results of this testing.
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centurylink, hyperscale testing, cloud, amazon elastic compute cloud, rackspace cloud, cloudharmony, it management, data center
    
CenturyLink

Changing Lives: The Future of Healthcare in the Cloud

Published By: Amazon Web Services EMEA     Published Date: Apr 16, 2019
Whether you are part of a community hospital or global pharmaceutical company, Amazon Web Services (AWS) can help you add agility, improve collaboration and security, create an environment of experimentation, and drive new technological innovation.
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA

Cisco's Digital Marketing Transformation.

Published By: Domo APAC     Published Date: Mar 04, 2019
Cisco’s marketing team has invested massively in technology over the past two years. This $50 million investment in software has put Cisco at the leading edge of B2B technology marketing. 40 new applications have been put in place, creating one of the most sophisticated marketing technology stacks in the industry, resembling the more consumeroriented Amazon, Google, and Facebook. This investment has earned Cisco’s marketing team plaudits and several industry awards View Domo’s privacy policy
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Domo APAC

Cloud Computing IaaS Performance Report: ProfitBricks, Amazon EC2, Rackspace Cloud

Published By: ProfitBricks     Published Date: Jan 01, 2013
Performance testing and benchmarking of cloud computing platforms is a complex task, compounded by the differences between providers and the use cases of cloud computing users. IaaS services are utilized by a large variety of industries and, performance metrics cannot be understood by simply representing cloud performance with a single value. When selecting a cloud computing provider, IT professionals consider many factors: compatibility, performance, cost, security and more. Performance is a key factor that drives many others including cost. In many cases, 3 primary bottlenecks affect server performance: central processing unit (CPU) performance, disk performance, and internal network performance.
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cloud computing, iaas, profitbricks, amazon ec2, rackspace cloud, central processing unit, disk performance, internal network performance, access control, database development, web service security, project management
    
ProfitBricks

Cloud Native Monitoring at Entrust Datacard with Splunk

Published By: AWS     Published Date: Nov 15, 2018
"To provide trusted identities and secure transactions to your customers, you want a flexible, scalable monitoring solution that offers a unified view on the Amazon Web Services (AWS) cloud. Learn how Entrust Datacard can help your organization quickly identify, resolve, and prevent issues by using a cloud-native platform to deliver seamless customer experiences every time. Watch our on-demand webinar and gain valuable insights into: • How to use a DevOps approach to monitoring • The best practices to scale your monitoring solutions • How Entrust Datacard monitors trace, syslog and metric data from sources like Amazon CloudWatch, Application Load Balancer, and Amazon Aurora"
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AWS

Cloud-native Application Development: Containerized Deployments on Amazon Web Services

Published By: AWS     Published Date: Nov 16, 2018
"For existing applications to gain the agility, scalability, resilience, and cost benefits of cloud computing, organizations need to adopt cloud-native architectures. By making this switch, you’ll be better suited to scale more quickly, so you can help meet your ever-changing user demands. The challenge is how to make this transition to a cloud-native architecture, quickly and easily. Download this complimentary white paper to learn how your organization can help simplify the transition to cloud computing by leveraging Amazon Elastic Container Service and TIBCO®. You’ll learn: • Best practices for agile development • New platforms for deployment • The right tools for digital business agility "
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AWS

Comment relever les cinq principaux défis du Big Data – Tout sur le cloud

Published By: Amazon Web Services     Published Date: Jul 25, 2018
Il est tout aussi facile d'être submergé par l'omniprésent Big Data qu'il l'est pour les organisations d'être découragées par les défis qu'elles rencontrent lorsqu'elles implémentent une initiative en matière de Big Data. Les préoccupations liées aux ensembles de compétences associées au Big Data (et à leur absence), à la sécurité, à l'imprévisibilité des données, aux coûts non viables et à la nécessité d'effectuer une analyse de rentabilité peuvent mettre brutalement fin à une initiative en matière de Big Data.
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Amazon Web Services

Comparing Security Across The Three Main Cloud Providers

Published By: CloudHealth by VMware     Published Date: Aug 26, 2019
Both the speed of innovation and the uniqueness of cloud technology is forcing security teams everywhere to rethink classic security concepts and processes. In order to keep their cloud environment secure, businesses are implementing new security strategies that address the distributed nature of cloud infrastructure. Security in the cloud involves policies, procedures, controls, and technologies working together to protect your cloud resources, which includes stored data, deployed applications, and more. But how do you know which cloud service provider offers the best security services? And what do you do if you’re working on improving security for a hybrid or multicloud environment? This ebook provides a security comparison across the three main public cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). With insight from leading cloud experts, we also analyze the differences between security in the cloud and on-premises infrastructure, debunk
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CloudHealth by VMware

Comparing Security Across The Three Main Cloud Providers

Published By: CloudHealth by VMware     Published Date: Sep 05, 2019
Both the speed of innovation and the uniqueness of cloud technology is forcing security teams everywhere to rethink classic security concepts and processes. In order to keep their cloud environment secure, businesses are implementing new security strategies that address the distributed nature of cloud infrastructure. Security in the cloud involves policies, procedures, controls, and technologies working together to protect your cloud resources, which includes stored data, deployed applications, and more. But how do you know which cloud service provider offers the best security services? And what do you do if you’re working on improving security for a hybrid or multicloud environment? This ebook provides a security comparison across the three main public cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). With insight from leading cloud experts, we also analyze the differences between security in the cloud and on-premises infrastructure, debunk
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CloudHealth by VMware

Comparing Services For The Big Three Cloud Providers

Published By: CloudHealth by VMware     Published Date: Aug 22, 2019
Compiling a cloud services comparison is a daunting task in the rapidlyevolving cloud environment. There are thousands of cloud services, dozens of cloud service providers, and numerous Infrastructure-as-aService (IaaS) providers offering pay-as-you-go pricing models—each one frequently changing and upgrading their portfolios. We have chosen to limit our cloud services comparison to the top three IaaS providers providing service in the Western Hemisphere—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)—because, not only are these the IaaS providers most organizations are familiar with, they are also the IaaS providers whose services most organizations are likely to compare. This eBook provides an introduction to the range of services offered by the leading cloud service providers, information on regions and availability zones, a breakdown of cloud storage services, and more, to help inform you on your multicloud journey.
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CloudHealth by VMware

Complexity, Competition & Skills: Dynamics Hindering MRO Growth

Published By: Zilliant     Published Date: Oct 11, 2019
The maintenance, repair and overhaul (MRO) and industrial distribution industry is massive and continues to grow at a steady pace. Despite this positive outlook, individual MRO distributors aren’t short on their own challenges when it comes to retaining and growing their market share. There are several factors hindering MRO companies from retaining the share they have and claiming more. Namely: • Complexity: Their large customer counts and behemoth SKU counts render it impossible to give reps market-aligned pricing guidance and sales intelligence • Competition: MRO is ripe for poaching by Amazon, and as a result, traditional distributors continue to see market share slipping away to the online giant • Skills: A massive generational shift in the workforce is resulting in a skills gap that’s proving particularly problematic to fill In this playbook for MRO and industrial products distributors, we will discuss how growth is hindered in this dynamic industry and then provide reimagin
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Zilliant

Compose Enterprise: Choosing the right database for the job

Published By: IBM     Published Date: Jan 18, 2017
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, aps data, database, cloud db toolkit, enterprise applications
    
IBM

Core Tenets of IoT

Published By: Amazon Web Services     Published Date: Apr 27, 2018
One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions. This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.
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Amazon Web Services

Creating a Superior Customer Experience Online

Published By: Oracle     Published Date: Sep 11, 2012
This paper explores ways for government to provide Citizens access before or after hours and conduct government business--much as they can log on to their computers whenever they want to buy from Amazon.com.
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it marketing, customer service, oracle, web experiences
    
Oracle

Création d'un lac de données sur AWS

Published By: Amazon Web Services     Published Date: Jul 25, 2018
Qu'est-ce qu'un lac de données ? Les organisations doivent gérer de plus grands volumes de données, provenant de davantage de sources et contenant plus de types de données que jamais auparavant. Confrontées à des volumes massifs et hétérogènes de données, de nombreuses organisations ont compris que pour proposer des informations stratégiques pour l'entreprise en temps opportun, elles doivent disposer d'une solution d'analyse et de stockage des données qui offre plus de vitesse et de souplesse que les systèmes traditionnels. Un lac de données représente une solution nouvelle et de plus en plus répandue pour stocker et analyser les données. Cette solution relève la plupart de ces défis en permettant à une organisation de stocker l'ensemble de ses données au sein d'un même référentiel centralisé. Comme les données peuvent être stockées sous leur forme initiale, il n'est pas nécessaire de les convertir en un schéma prédéfini avant leur ingestion.
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Amazon Web Services

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q119

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q2'19
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