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Published By: AWS     Published Date: Aug 06, 2018
Learn more about SAP and Amazon Web Services at - http://amzn.to/2hmxZl4. Migrating your critical SAP workloads to AWS can help you enhance agility, reduce costs, and stimulate innovation, while also presenting an opportunity to upgrade to SAP HANA. However, many are still unsure about where to start, what their strategy and roadmap should look like, and whether to upgrade to SAP HANA before or after migration. Capgemini and AWS understand these considerations and provide mature solutions to help you plan and execute your migration. Additionally, the SAP Rapid Migration Test program (also known as AWS FAST) provides processes, procedures, and tools to help you eliminate any uncertainties of this transition, with results in as quick as 48 hours. Join our upcoming webinar to learn how Capgemini and AWS FAST help businesses thoroughly plan and accelerate migrations to SAP HANA.
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AWS
Published By: AWS     Published Date: Aug 01, 2018
Learn more about the AWS Partner Webinar Series at - https://amzn.to/2ILG0R7. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.
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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
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
Published 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
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
Published 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
Published 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
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organisationen müssen heute mit immer größeren Datenmengen zurechtkommen, die aus mehr Datenquellen stammen und mehr Datentypen enthalten als jemals zuvor. Angesichts massiver, heterogener Datenmengen stellen viele Organisationen fest, dass sie eine Datenspeicher- und Analyselösung benötigen, die höhere Geschwindigkeit und mehr Flexibilität als ältere Systeme bietet, um rechtzeitig geschäftliche Erkenntnisse liefern zu können. Ein Data Lake ist eine neue und zunehmend populäre Möglichkeit zur Speicherung und Analyse von Daten, die viele dieser Herausforderungen meistert, indem sie es einer Organisation ermöglicht, alle Daten in einem zentralen Repository zu speichern. Da Daten in ihrem ursprünglichen Format gespeichert werden können, besteht kein Bedarf, sie vor der Übernahme in ein vordefiniertes Schema zu konvertieren, wodurch Sie die Möglichkeit erhalten, all Ihre Daten, sowohl strukturiert als auch unstrukturiert, mit minimaler Vorlaufzeit zu speichern.
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Amazon Web Services
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
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
Published 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
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Most companies would love to move enterprise applications to the public cloud and cut the costs, complexities, and limitations of current infrastructure. Major public cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have done well in enabling web, mobile, and content applications in the cloud. These are cloud-native applications designed to use cloud “object” storage, and object storage is very popular for use cases such as backup and disaster recovery. However, enterprise applications typically require “block” storage. Although native cloud block storage exists, it has several shortcomings, particularly around reliability, durability, and lack of data mobility. So, enterprise applications have largely stayed on-premises or in private clouds. Now there’s an innovative new way to move enterprise applications to the public cloud while actually reducing risks and tradeoffs. It’s called multicloud storage, and it’s an insanely simple, reliable, secure w
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Hewlett Packard Enterprise
Published By: Turbonomic     Published Date: Jul 05, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
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Turbonomic
Published By: AWS     Published Date: May 31, 2018
Effective security for cloud-hosted web applications requires full visibility into the environment in which the apps live and the potential exposure to vulnerabilities — and to do so consistently, while proactively monitoring for attacks without causing delays in application development and delivery. Cloud adoption means that a focus on perimeter security is not sufficient and may even be obstructive, because it can impact application performance and availability. By completing this form, I agree that I'd like to receive information from Amazon Web Services, Inc. and its affiliates related to AWS services, events and special offers, and my AWS needs by email and post. You may unsubscribe at any time by following the instructions in the communications received. Your information will be handled in accordance with the AWS Privacy Policy. https://aws.amazon.com/privacy/
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AWS
Published By: AWS     Published Date: May 18, 2018
This eBook will take you through the benefits of using APN Partner solutions and AWS storage services to create an efficient, reliable, and secure backup and recovery solution that can grow with your business. It also explores how organizations can pay for storage per gigabyte and only for what they use. Also included is information on how customers are leveraging object storage services on Amazon Web Services (AWS) like Amazon Simple Storage Service (Amazon S3) and Amazon Glacier. Download this eBook to learn how customers like Oath, IDT, and King County are deploying backup and recovery solutions with our featured APN partners.
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AWS
Published By: Trend Micro     Published Date: May 03, 2018
This whitepaper looks to address the Top 3 challenges your team faces when building in the cloud and what it means for your business. Although the capabilities and cost of select SecOps solutions have kept pace with the widespread adoption of the Amazon Web Services (AWS) Cloud, many organizations try to protect their expanding cloud workloads without the proper support.
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Trend Micro
Published By: Trend Micro     Published Date: May 03, 2018
Hybrid cloud security is a hot topic, especially with the massive growth of public cloud providers like Amazon Web Services (AWS), Microsoft® Azure™ and Google Cloud. With the emergence of the hybrid cloud, where workloads are deployed across physical, virtual, and cloud, security professionals are constantly being challenged to evolve their security practices to adapt to this new architecture. Trend Micro Hybrid Cloud Security, powered by XGen™, takes a blended approach. It combines multiple cross-generational threat defense techniques for protecting hybrid environments. When one technique isn’t effective against a given threat, another will step in to eliminate the threat.
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Trend Micro
Published 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
Published 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
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
Published By: WorkBook from Deltek     Published Date: Apr 26, 2018
Built on Amazon Web Services, Deltek’s powerful ERP software delivers an enterprise level of service and collaboration. Our best-in class ERP solution maximizes end user productivity through industry and role specific functionality, while providing unparalleled speed, scalability, flexibility, security and agility for advanced performance. Deltek can help your firm better serve clients and increase profitability.
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deltek, roi, professional, services, firm, web, amazon
    
WorkBook from Deltek
Published By: WorkBook from Deltek     Published Date: Apr 26, 2018
Built on Amazon Web Services, Deltek’s powerful ERP software delivers an enterprise level of service and collaboration. Our best-in class ERP solution maximizes end user productivity through industry and role specific functionality, while providing unparalleled speed, scalability, flexibility, security and agility for advanced performance. Deltek can help your firm better serve clients and increase profitability.
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deltek, roi, professional, services, firm, web, amazon
    
WorkBook from Deltek
Published By: Pure Storage     Published Date: Apr 18, 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.
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Pure Storage
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Migrating mission-critical workloads like SAP to the cloud is a vital part of any digital transformation. However, it’s now become a matter of “when,” rather than “if.” When deciding on a cloud provider, Business and IT executives are under pressure to find a solution that enables reduced costs, greater agility, and above all, the ability to innovate core business processes. But how do you execute this migration without risking downtime and productivity loss? Download our eBook on Migrating your SAP environment to AWS
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