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Published By: FNT     Published Date: Jan 29, 2018
This report contains a holistic perspective on key emerging markets in the enterprise IT space.
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colo, colocation, datacenter, connectivity, cloud, multi-tenant data center, mtdc, hybrid it, fnt_white_papers
    
FNT
Published By: FNT     Published Date: Jan 29, 2018
Download this edition of Pipeline examining the competitive advantages of Multi-Tenant Data Center and hosting providers.
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colo, colocation, datacenter, connectivity, cloud, multi-tenant data center, mtdc, hybrid it, fnt_white_papers
    
FNT
Published By: FNT     Published Date: Feb 09, 2018
Download this white paper to learn how you can best integrate and capitalize on a combination of data center resources.
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colo, colocation, datacenter, connectivity, cloud, multi-tenant data center, mtdc, hybrid it, fnt_white_papers
    
FNT
Published By: Trend Micro     Published Date: May 11, 2015
Read more about security solutions designed to protect your applications running on the AWS Cloud.
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data center, cloud
    
Trend Micro
Published By: QTS     Published Date: Apr 09, 2015
There are no one-size-fits-all outsourcing solutions. IT organizations need granular customization and flexibility to architect systems that support their unique requirements. Download this report to find out more.
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cloud infrastructure, choosing the right provider, data centers, cloud computing
    
QTS
Published By: Panduit     Published Date: Apr 21, 2015
DCIM tools support the diverse needs of colocation providers, large enterprises/managed service providers and midsize enterprises. This research provides data center managers with insight into seven DCIM tools and their ability to support these three uses cases.
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dcim tools, data center infrastructure
    
Panduit
Published By: Trend Micro     Published Date: May 11, 2015
Read more about security solutions designed to protect your applications running on the AWS Cloud.
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#cloud
    
Trend Micro
Published By: Juniper supplement     Published Date: Sep 22, 2015
Web services An examination of those organizations using web services successfully and find that they have chosen their networking infrastructure carefully and taken advice about future upgrade strategies. SDN and NFV We look at whether software defined networking (SDN) or network functions virtualization (NFV) will solve the problem of the sheer volume of new applications, and when they are likely to fulfil their promise. 9 Infographic Inside information from Juniper Networks on how to avoid that cyberattack and if you can’t – how to neutralize it. 10 Internet of Things How will you deal with the 1.6 zettabytes of data the Internet of Things is preparing to throw your way? Get your smart spectacles out and read how! 14 Colocation We take a look at why the rapid growth in cloud Services could very well be a big help for co-location – a sector which is still growing very nicely thank you.
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data center design and management
    
Juniper supplement
Published By: Red Hat     Published Date: Sep 09, 2018
As applications and services become more central to business strategy, and as distributed methodologies like agile and DevOps change the way teams operate, it is critical for IT leaders to find a way to integrate their backend systems, legacy systems, and teams in an agile, adaptable way. This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs—to deliver flexibility, scalability, and reusability.
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Red Hat
Published By: Red Hat     Published Date: Sep 09, 2018
This assessment shows that enterprises adopt Red Hat Fuse because they believe in a community-based open source approach to integration for modernizing their integration infrastructure that delivers strong ROI. For these organizations, Fuse was part of a larger digital transformation initiative and was also used to modernize integration. IDC interviewed organizations using Fuse to integrate important business applications across their heterogeneous IT environments. These Red Hat customers reported that Fuse has enabled them to complete substantially more integrations at a higher quality level, thereby supporting their efforts to deliver timely and functional applications and digital services. Efficiencies in application integration with Fuse have generated significant value for study participants, which IDC quantifies at an average value of $75,453 per application integrated per year ($985,600 per organization). They have attained this value by: » Enabling more efficient and effectiv
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Red Hat
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"In today’s Idea Economy, businesses need to turn ideas into services faster. Every new business and established enterprise is at risk of missing a market opportunity and being disrupted by a new idea or business model. It has never been easier, or more cru cial, to turn ideas into new products, services, or applications —and quickly drive them to market. But IT needs an infrastructure that enables them to partner with the business to speed the delivery of services."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Discover HPE OneSphere, a hybrid cloud management solution that enables IT to deliver private infrastructure with public-cloud ease. With the proliferation of self-service, on-demand infrastructure, enterprise developers have come to expect infrastructure as a service. However, the constraints of existing infrastructure and tools make this mean heavier workloads for IT teams.
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Hewlett Packard Enterprise
Published By: Zendesk     Published Date: Jun 29, 2018
Customers are more technically savvy than ever and have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers only seek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only 16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: Zendesk     Published Date: Jun 29, 2018
Zendesk Support helps you improve relationships with your customers and provide them with a seamless experience. Improve customer satisfaction, increase agent productivity, scale your support operation, and better manage your team. Watch the demo and take advantage of your support efforts to benefit your entire company.
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Zendesk
Published By: Zendesk     Published Date: Jun 29, 2018
The start of a new chapter of your business, whether you're moving upmarket or adding products and features, is a great time to scale your customer service operations in a smart way. We know customers prefer self-service, via a knowledge base, if one is available. A Gartner report estimates that CIOs can reduce customer support costs by 25% or more when proper knowledge management discipline is in place. If you've been on the sidelines waiting to take the self-service leap, this white paper will prove that you and your agents already partake in the activities needed to offer great self-service, every single day.
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Zendesk
Published By: Zendesk     Published Date: Jun 29, 2018
In the global market for customer service software, Zendesk is once again recognized as a leader in the 2018 Gartner Magic Quadrant for the CRM Customer Engagement Center. Every year, Gartner conducts a thorough analysis of service providers in the customer service and support application space. We believe the Gartner Magic Quadrant for the CRM Customer Engagement Center report provides valuable information for business leaders who seek technology solutions for interacting and engaging with their customers. Zendesk can again be found in the 2018 report’s Leader quadrant, which we consider a reflection of the success of our 125,000 customers, including enterprise clients like Airbnb, Tesco, and the University of Tennessee. The past year alone has included a number of significant milestones for us, including the release of AI-enhanced features for self-service and surpassing $500 million run rate in revenue. As our customer base continues to grow, we strive to be a dynamic vendor for bus
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Zendesk
Published By: Akamai Technologies     Published Date: Jun 14, 2018
IT complexity has rapidly grown with more applications, users, and infrastructure needed to service the enterprise. Traditional remote access models weren’t built for business models of today and are unable to keep up with the pace of change. Read this paper to understand how remote access can be redefined to remove the complexity, meet end-user expectation and mitigate network security risks.
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security, multi-factor authentication, network security risks
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Jun 14, 2018
The cyber threat landscape is dynamic and accelerating. The Domain Name System (DNS) is a vulnerability in many organizations’ defenses that malicious actors are increasingly exploiting. The following DNS best practices, when coupled with an enterprise threat protection service, will aid you in identifying, blocking, and mitigating targeted threats such as malware, phishing, ransomware, and data exfiltration.
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dns, cybersecurity, malware, phishing, ransomware, data exfiltration
    
Akamai Technologies
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
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
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