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Published By: Pure Storage     Published Date: Jul 19, 2017
As the information technology (IT) industry enters the cloud era, where hybrid IT is the dominant deployment model in organizations of all sizes, the capabilities of primary all-flash arrays (AFAs) will need to evolve to handle cloud scale and agility
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it architecture, cloud, all-flash, storage, virtualization, cloud computing, infrastructure
    
Pure Storage
Published By: Pure Storage     Published Date: Jul 26, 2017
Les principales architectures de stockage traditionnelles ont été développées il y a plus de 20 ans pour répondre à un paradigme informatique différent. Si elles ont plutôt bien servi leurs clients pendant cette période, elles sont en train de devenir obsolètes, puisque de plus en plus d'organisations adoptent des modèles cloud ou de type cloud. Afin d'optimiser l'efficacité du cloud, le service informatique doit opter pour des architectures de stockage conçues pour le 100 % flash et développées de A à Z pour l'ère du cloud.
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le cloud computing, améliorer la performance, disponibilité des applications, plateforme de stockage 100 % flash, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 24, 2017
This Technology Spotlight examines the evolving primary flash array market with a particular emphasis on what next-generation flash-driven enterprise storage architectures will look like. It also looks at the role Pure Storage, with its FlashArray//x, plays in this strategically important market.
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flash, flash technology, storage, storage management, flash adoption, migration, business transformation
    
Pure Storage
Published By: IBM     Published Date: Feb 22, 2016
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
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ibm, data, big data, integration, hadoop, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: CA WA     Published Date: May 12, 2008
Emerging information technologies like composite and multi-tier applications, service oriented architectures (SOA), virtualization, grid and cluster computing, and Web Service-based application delivery create an extraordinary opportunity for IT managers. With these dynamic technologies, they can provide business owners with IT services that are extremely flexible and agile, driving a more dynamic and competitive business.
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ca wa, workload automation, roi, return on investment
    
CA WA
Published By: CA WA     Published Date: May 12, 2008
All things that can be automated will be automated. Beyond the careful choreography of sophisticated workflow, managing myriad simultaneous requests puts unprecedented demand on the software that must schedule and perpetually deliver against well-defined service levels, in real time. Gone are the days of simple batch processing. Welcome to the oh-so-very-flat world that is embracing service-oriented architectures, grid architectures, expansive ecosystems, and end-to-end processing. Workload scheduling has got to grow up.
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ca wa, workload automation, soa, service oriented, scheduling, service oriented architecture
    
CA WA
Published By: F5 Networks Inc     Published Date: Mar 30, 2018
It seems like every day there’s another article about IoT, big data analytics, and cloud architectures—and their unlimited potential for companies trying to gain a competitive edge in this digital world. If your business is in the midst of a digital transformation (and chances are, it is), you’re probably already enjoying some the benefits of the public cloud: economies of scale, preconfigured solutions that can be spun up with a few clicks, utility billing, and more. What you may not have heard, however, is how the shared security model of the public cloud affects your security responsibilities —and how it can be used to your advantage in these multicloud environments.
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roi, cloud, security, architectures, business, economies
    
F5 Networks Inc
Published By: BMC Control M     Published Date: Jul 16, 2009
Enterprise job scheduling is a mature and mission-critical IT capability that supports some of the most important business processes throughout a modern enterprise. Areas like accounting, ordering, inventory, and procurement are all likely to rely on job scheduling technology. Most common job scheduling architectures involve deploying agent software on every system in the enterprise. However, depending on the parameters of the situation, these agents may be more expensive to install and maintain. Learn more today!
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bmc, ema, tco, security, job, scheduling, agent, faster, cheaper, safer, technology, software, bmc contol-m, enterprise, management, international computing
    
BMC Control M
Published By: BMC Control M     Published Date: Jul 16, 2009
L’automatisation de la charge de travail (Workload Automation ou WLA) est une version aboutie de la planification des tâches qui permet d’automatiser des traitements informatiques complexes et qui accepte des charges de travail basées sur des événements, des plates-formes multiples, des services Web, des applications composites, des architectures orientées services (SOA), des systèmes virtuels, l’intégration des systèmes et des applications, l’alignement des services métier, etc.
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wla, ema, bmc control-m, soa
    
BMC Control M
Published By: EMC Corporation     Published Date: May 27, 2014
Explore three key Cloud computing models—integrated infrastructure systems, reference architectures, and “build your own” solutions. See how EMC gives you the freedom to chose the optimal path to your private Cloud—and the solutions to support your deployment.
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emc, cloud computing, hybrid cloud, private cloud, cloud infrastructure, itaas, it-as-a-service, it services, cloud architecture, it management, data center
    
EMC Corporation
Published By: Nutanix, Inc.     Published Date: May 02, 2013
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance, scale and economics. meeting these requirements, however, often requires a complete rethinking of how data centers are designed and managed. Fortunately, many enterprise IT architects are leading cloud providers have already demonstrated the viability and the benefits of a more modern, software-defined data center. This Nutanix white paper examines eight fundamental steps leading to a more efficient, manageable and scalable data center.
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nutanix, data-centers, dynamic business demands, advanced technologies, it management, knowledge management, enterprise applications, data management, productivity
    
Nutanix, Inc.
Published By: HP-Intel®     Published Date: Jul 22, 2013
The Virtual Server Environment Reference Architecture described in this white paper centers around the HP-UX 11i v2 operating environments
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intel, ost, linux, operation systems, internal architecture, architecture, epic software, unix/risc architectures
    
HP-Intel®
Published By: MobileIron     Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, best, practices, endpoint, security, data
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, practices, audit, checklist, endpoint, security
    
MobileIron
Published By: IBM     Published Date: May 23, 2017
This paper gives key considerations when making a strategic commitment to a database platform.
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security, operation management, cloud architectures, scale management, data support, ibm db2, cloud management
    
IBM
Published By: DataStax     Published Date: Nov 02, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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DataStax
Published By: Datastax     Published Date: Nov 02, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: Datastax     Published Date: Dec 27, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
Published By: Cohesity     Published Date: Nov 20, 2018
Today, hybrid cloud is increasingly the norm, and enterprises are challenged with ways to have visibility, manage and make use of all this data – both on-premises and in the cloud. While much attention has been given to primary data affecting mission-critical workloads, data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data. This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide. Download to learn more.
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Cohesity
Published By: Intel     Published Date: Sep 27, 2019
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
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Intel
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: Datastax     Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures. Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
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Datastax
Published By: Schneider Electric     Published Date: Feb 17, 2017
In this white paper, we will look into: • The changing face of the colocation buyer • Industry structure, including mergers and acquisitions • The Internet of Things and big data • Edge computing • Cloud computing and Internet Giants • The impact of data center infrastructure management (DCIM) • Data center design architectures
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colocation, iot, internet of things, big data, edge computing, cloud computing, dcim, data center infrastructure management, data center design architectures
    
Schneider Electric
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