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By: Nutanix     Published Date: Aug 22, 2019
Organizations can now fully automate hybrid cloud architecture deployments, scaling both multitiered and distributed applications across different cloud environments, including Amazon Web Services (AWS) and Google Cloud Platform (GCP). Ready to learn more about hyperconverged infrastructure and the Nutanix Enterprise Cloud? Contact us at info@nutanix.com, follow us on Twitter @nutanix, or send us a request at www.nutanix.com/demo to set up your own customized briefing and demonstration to see how validated and certified solutions from Nutanix can help your organization make the most of its enterprise applications.
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     Nutanix
By: Amazon Web Services EMEA     Published Date: Jul 31, 2019
Rapid change is underway in the world of digital government. This is not only being driven by huge advances in technology, but also a global community unified by new thinking, bold ideas, and cost-effective, scalable solutions.
Tags : cloud computing, public sector, aws, healthcare, amazon web services
     Amazon Web Services EMEA
By: CloudHealth by VMware     Published Date: Sep 05, 2019
Regardless of whether your data resides on-premises, in the cloud, or a combination of both, you are vulnerable to security threats, data breaches, data loss, and more. Security is often cited as a concern for organizations who are migrating to the public cloud, but the belief that the public cloud is not secure is a myth. In fact, the leading public cloud service providers have built rigorous security capabilities to ensure that your applications, assets, and services are protected. Security in the public cloud is now becoming a driver for many organizations, but in a rapidly evolving multicloud environment, you must keep up with changes that might impact your security posture. This eBook outlines the three core recommendations for cloud security across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
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     CloudHealth by VMware
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
By: Cisco     Published Date: Dec 11, 2018
The goal of this review is to educate customers on the capabilities that Cisco’s SD-WAN solution provides when working with Amazon Web Services (AWS). ESG describes Cisco’s solution and highlights the business value it can deliver to customers via its integration with AWS. ESG completed this summary as part of an AWS-commissioned report to review nine SD-WAN vendors. Readers should use this review as a starting point when investigating how they can leverage the combination of AWS and Cisco for business advantage. I would like to receive email communications about products & offerings from Cisco & its Affiliates. I understand I can unsubscribe at any time. For more information on how Cisco collects and uses personal information, please see the Cisco Online Privacy Statement.
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     Cisco
By: Hewlett Packard Enterprise     Published Date: Nov 06, 2017
The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).
Tags : infrastructure, cost competitive, cloud, hyper converged, amazon web services, total cost of ownership, tco
     Hewlett Packard Enterprise
By: Dell EMC     Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their only option, since many don’t have the capital or expertise to build and operate the IT systems their businesses need. Existing companies with established data centers are also looking at public clouds, to increase IT agility while limiting risk. The idea of building-out their production capacity while possibly reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And like most infrastructure decisions the question of cost is certainly a consideration. In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
Tags : public cloud, it systems, data center, it agility, hyperconverged solution, hyperconverged appliance
     Dell EMC
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
By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 28, 2018
AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit. Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.
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     Amazon Web Services
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
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
By: Amazon Web Services     Published Date: Jul 25, 2018
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data. Download now to find out more.
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     Amazon Web Services
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
By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Die Recherchen von IDC haben ergeben, dass in den nächsten Jahren die meisten IT-Workloads in die Cloud verschoben werden. Doch neben all den positiven Berichten über Unternehmen, die in die Cloud umziehen, gibt es auch Unternehmen, die sich noch immer fragen, ob ein solcher Wechsel wirklich kosteneffizient ist und welche Vorteile sich aus einem solchen ergeben. Während die Antworten auf solche Fragen von Workload zu Workload variieren, gibt es ein Element, das besondere Aufmerksamkeit auf sich zieht: das Data-Warehouse.
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     Amazon Web Services
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
By: Amazon Web Services     Published Date: Jul 25, 2018
La plupart des entreprises ont investi considérablement dans le stockage de leurs données, avec un coût de gestion continu en termes de licences logicielles, frais de maintenance, coûts opérationnels et matériel. Est-il plus judicieux d'opter pour une solution cloud ? Quels en sont les coûts et les avantages ? En combien de temps un tel choix est-il rentabilisé? Découvrez, dans ce document, la synthèse de l’enquête IDC sur le retour d'expérience de 8 entreprises utilisant Amazon Redshift.
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     Amazon Web Services
By: DellEMC and Intel® Xeon® processor     Published Date: Apr 13, 2017
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
Tags : dell emc, cloud, hyperconverged solutions, hyperconvergence, amazon, amazon web services, cloud
     DellEMC and  Intel® Xeon® processor
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
By: New Relic     Published Date: Apr 07, 2015
Are you an AWS user looking to accelerate time to market? Lower costs? Or avoid painful mistakes as you migrate your applications to the Cloud? Whether you’ve already moved to the Cloud or are getting ready to migrate, New Relic helps Amazon Web Services (AWS) users improve the performance and end-user experience of their applications.
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     New Relic
By: New Relic     Published Date: Apr 07, 2015
Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Drawing on our deep cloud expertise and best practices we can offer to successfully migrate, operate, and optimize your cloud-hosted applications.
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     New Relic
By: New Relic     Published Date: Apr 07, 2015
Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Here are five best practices that can help you improve the end-user experience, simplify management, and reduce the cost of your AWS environment.
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     New Relic
By: New Relic     Published Date: Apr 07, 2015
Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Drawing on our deep cloud expertise and best practices we can offer to successfully migrate, operate, and optimize your cloud-hosted applications.
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     New Relic
By: Pure Storage     Published Date: Jan 12, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
Tags : data, storage, scalability, cost efficiencies, pure storage
     Pure Storage
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