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By: Amazon Web Services     Published Date: Jun 02, 2017
Prenez quelques minutes pour lire les résultats de la recherche d’IDG dans ce livre blanc. Vous y comprendrez notamment pourquoi 54% des répondants prévoient d’utiliser AWS pour les aider à déployer leur stratégie cloud. Découvrez comment AWS peut vous aider à : -Améliorer l’agilité de votre entreprise -Déployer rapidement de nouvelles applications métiers et adapter leurs ressources -Réduire votre dette technologique (diminuer votre coût de possession)
Tags : cloud, cloud computing, business agility, business applications, microsoft, microsoft apps, aws, amazon web service
     Amazon Web Services
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.
Tags : cost effective, data storage, data collection, security, compliance, platform, big data, it resources
     Amazon Web Services
By: Amazon Web Services     Published Date: Nov 28, 2017
Les clients professionnels peuvent tirer parti des nombreux avantages qu'offre Amazon Web Services (AWS) pour parvenir à l'agilité commerciale, réaliser des économies de coûts et offrir une haute disponibilité, et ce en exécutant leurs environnements SAP sur le cloud AWS. La plupart des clients professionnels exécutent aujourd'hui leurs charges de travail de production sur AWS, y compris celles qui tournent sur des bases de données autres que SAP (Oracle, MS SQL, DB2) ou sur des bases de données SAP (SAP HANA, SAP ASE). Pour prendre en charge la demande d'instances à mémoire élevée, AWS a dévoilé la feuille de route des instances SAP HANA (8 To et 16 To en 2018) et vient de rendre disponibles les instances x1e de 4 To. Parmi les quelques exemples qui illustrent de quelle façon AWS a aidé les clients SAP à réduire les coûts et à améliorer les performances, ainsi que l'agilité, citons BP qui a diminué d'1/3 le coût de son infrastructure SAP, Zappos qui a réussi la migration vers SAP H
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     Amazon Web Services
By: Amazon Web Services     Published Date: Dec 01, 2017
Les informations suivantes doivent servir de ressources aux directeurs financiers qui dirigent ou assistent leur organisation tout au long de sa migration vers le cloud. Elles ont pour objet de présenter les motivations, les coûts, les risques et les avantages de l'adoption du cloud, et de soulever des questions importantes en matière d'effectifs et de technologie, qui s'avèrent essentielles à la réussite de cette adoption. Elles visent également à permettre de mener des analyses de rentabilité, en mettant en valeur des mesures et des indicateurs spécifiques aux environnements cloud, capables d'influencer les résultats. Les conseils fondamentaux qui sont fournis sont tirés de conversations et d'entretiens directs entre Amazon Web Services (AWS) et les directeurs financiers d'entreprises clientes, qui représentent un large éventail de secteurs d'activité.
Tags : planification, amazon, web, services, destine, aux, directeurs, financiers
     Amazon Web Services
By: Amazon Web Services     Published Date: Feb 01, 2018
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
Tags : machine learning, algorithms, interal systems, amazon
     Amazon Web Services
By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
Tags : predictive, analytics, data lake, infrastructure, natural language processing, amazon
     Amazon Web Services
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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     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 16, 2018
SAP and Amazon Web Services (AWS) have jointly developed a cloud-migration test program, Fast Amazon SAP Transformation (FAST), that helps you address time- and cost-related uncertainties when migrating HANA to the AWS cloud. This analyst report from Ovum explores how FAST (a four-step testing process) drastically reduces uncertainties about the time and costs involved in your HANA cloud migration. Download the report now and you’ll discover how FAST can help you: -Quickly quantify costs, risks, and time for migrating SAP ERP applications to the AWS Cloud. -Run your mission-critical applications faster and more reliably Migrate your SAP HANA database to the cloud in only a few days with minimal infrastructure cost Read the Report
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     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 16, 2018
New and existing SAP customers can confidently deploy their mission-critical workloads on AWS knowing that AWS and SAP have worked closely to test and certify that the AWS Cloud meets the stringent performance and availability needs of SAP workloads. Hundreds of enterprise SAP customers run SAP solutions on AWS and are achieving increased flexibility, performance, and security, while simultaneously cutting their costs by migrating to AWS. Download our whitepaper: Leveraging the Cloud for Speed, Agility and ROI.
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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
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
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
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: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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     Amazon Web Services
By: Amazon Web Services and Intel     Published Date: Oct 07, 2015
With the large amounts of data that are constantly being utilized in today’s highly digitized world, there is a necessity for top of the line infrastructure to maintain everything with precision. Download this case study to see how high performance cloud computing can enhance collaboration and see how it will allow for research to be shared easily and the ability to scale up when needed.
Tags : high performance cloud computing, collaboration, data, enterprise applications
     Amazon Web Services and Intel
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
Government agencies often look to promote new technology for cost-savings and efficiency, but it does not stop there. The second and third-tier effects of technology can be long lasting for citizens, businesses, and economies. When public institutions adopt the cloud, they experience an internal transformation. Inside an organization, cloud usage drives greater accessibility of data and information sharing, increases worker productivity, and improves resource allocation. The external benefit of the cloud is recognized through a government’s ability to put reclaimed time and resources toward serving citizens. This includes provisioning public services, such as occupational-skills training, quicker and more effective service delivery, a pathway to a more productive workforce, and ultimately, a boost to local development. This whitepaper examines the enterprise-level benefits of the cloud, as well as the residual impact on economic development. The U.S. Economic Development Administration
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     Amazon Web Services APAC
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand: the way AWS services operate, including how customers can address security and encrypt their content, the geographic locations where customers can choose to store content, and the respective roles the customer and AWS each play in managing and securing content stored on AWS services.
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     Amazon Web Services APAC
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.
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     Amazon Web Services APAC
By: Amazon Web Services EMEA     Published Date: Aug 02, 2019
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
Tags : data, technologies, learning, applications, technology, machine, cloud
     Amazon Web Services EMEA
By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
Technology empowers governments to improve how and when they reach citizens. It improves the quality and accessibility of public services, ultimately creating a more productive environment where citizens can thrive. Leveraging the cloud is one way governments can accelerate this shift, with benefits occurring first inside the institution.
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     Amazon Web Services EMEA
By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.
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     Amazon Web Services EMEA
By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand:
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     Amazon Web Services EMEA
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