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Published By: CyrusOne     Published Date: Jul 02, 2016
Even through challenging economic times, the need for physical data center capacity continues to grow. For some businesses, the driver is expansion into new markets or geographies. For others, it's the need to deal with growing amounts of data generated by applications with high-capacity demands, evolving end-user abilities, or regulatory bodies that demand ever-increasing quantities of meticulous documentation. The "build-or-buy" decision between construction and colocation should be weighed carefully, as the choice will affect your company and your bottom line quite literally for decades. This executive report will review six key factors that affect that choice, some of which extend beyond a basic TCO analysis.
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CyrusOne
Published By: CyrusOne     Published Date: Jul 06, 2016
Data centers help state and federal agencies reduce costs and improve operations. Every day, government agencies struggle to meet critical cost controls with lower operational expenses while fulfilling the Federal Data Center Consolidation Initiative’s (FDCCI) goal. All too often they are finding themselves constrained by their legacy in-house data centers and connectivity solutions that fail to deliver exceptional data center reliability and uptime.
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CyrusOne
Published By: CyrusOne     Published Date: Jul 06, 2016
Many companies, especially those in the Oil and Gas Industry, need high-density deployments of high performance compute (HPC) environments to manage and analyze the extreme levels of computing involved with seismic processing. CyrusOne’s Houston West campus has the largest known concentration of HPC and high-density data center space in the colocation market today.
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CyrusOne
Published By: CyrusOne     Published Date: Jul 06, 2016
CyrusOne’s quick-delivery data center product provides a solution for cloud technology, social media and enterprise companies that have trouble building or obtaining data center capacity fast enough to support their information technology (IT) infrastructure. In trying to keep pace with overwhelming business growth, these companies often find it hard to predict their future capacity needs. A delay in obtaining data center space can also delay or stop a company’s revenue-generating initiatives, and have significant negative impact on the bottom line.
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CyrusOne
Published By: QTS Realty Trust, Inc.     Published Date: Jul 19, 2016
pyright © 2016, Data Center Frontier 3 SPECIAL REPORT Chicago Data Center Market Market Overview & Analysis The Windy City is a major hub for Internet and financial infrastructure, with active communities of data center users and service providers. Chicago is America’s third-largest city, and an active business market with nearly 40 Fortune 500 companies headquartered in the metro area. Chicago is distinctive in that it sees demand for data center space from a wide range of industries. It is home to major trading exchanges for stocks, commodities and options, making the city a hotbed of activity for the financial services industry. The region has also become a favored location for hosting, colocation and cloud computing companies. Chicago sees strong demand from the enterprise sector as well, both for primary data centers and as backup/disaster recovery facilities.
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QTS Realty Trust, Inc.
Published By: Legrand     Published Date: Aug 09, 2016
Efficiency is a key objective when designing a data center. Efficiency gains are typically focused completely on power and cooling. Efficiencies can be realized in many other areas resulting in additional cost savings, reliable network performance, easier maintenance, flexibility, and scalability. The success and efficiency of the data center can be maximized by considering five key elements when designing: performance, time, space, experience, and sustainability
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Legrand
Published By: Legrand     Published Date: Aug 09, 2016
The need for the “Connected Infrastructure of Tomorrow” is approaching faster than you think. With the Internet of Things (IoT) there are new and critical considerations to think about as one prepares for what’s ahead. Are you ready for it? To start planning and preparing now for tomorrow’s network, we have to understand the requirements for power, light and data today. We have to be smart about the future1. What will the world we live, play and work in be like 10-15 years from now? One can only guess, but there are some important things to consider today, when we design the infrastructure to support tomorrow’s needs being driven by billions of IoT connected devices.
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Legrand
Published By: Intel     Published Date: Dec 31, 2015
A recent survey of 200 data center managers across the US and UK reveals that a large proportion of centers take a manual approach to planning and forecasting. Despite its limitations, MS Excel emerges as a popular tool and nearly one in ten resort to walking around a data center with a tape measure. Only just over half are able to benefit from using Data Center Infrastructure Management (DCIM) tools. The manual approach is not limited to smaller data centers by any means; the proportion was found to remain the same even amongst the larger data centers (with above 1,500 servers). When asked why manual methods were employed, 46% said it was because they felt that the alternatives would be too expensive. A further 35% feared they lacked the resources to implement a more automated approach. Whilst both these factors may seem reasonable enough at first sight, both might actually represent false economies in the longer run.
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Intel
Published By: Intel     Published Date: May 06, 2016
Energy costs are the fastest-rising expense for today’s data centers. Naturally, power consumption is a top concern for managers of data center, enterprise, and cloud environments. Moreover, there are multiple proprietary power measurement and control protocols supported by various solution providers, making it challenging to have a single solution for power management across all devices in the data center. After a successful Intel IT proof of concept (PoC) using Intel® Data Center Manager (Intel® DCM) that ended in 2013, we deployed the solution across data centers in multiple countries. In our initial use of Intel DCM, we considered the solution to be focused primarily on gaining a better understanding of the power consumption and thermal status of servers. With broad deployment, we learned that Intel DCM is capable of much more.
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Intel
Published By: Emerson Network Power     Published Date: Jan 21, 2016
Ponemon Institute and Emerson Network Power are pleased to present the results of the latest Cost of Data Center Outages study. Previously published in 2010 and 2013, the purpose of this third study is to continue to analyze the cost behavior of unplanned data center outages. According to our new study, the average cost of a data center outage has steadily increased from $505,502 in 2010 to $740,357 today (or a 38 percent net change).
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Emerson Network Power
Published By: Emerson Network Power     Published Date: Mar 18, 2016
In this report, we’ll overview several alternative power configurations that improve overall cost and deployment speed while providing the availability levels required for this new generation.
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Emerson Network Power
Published By: Emerson Network Power     Published Date: Mar 18, 2016
Ponemon Institute and Emerson Network Power are pleased to present the results of the first Emerson Data Center IQ Quiz, part of the Data Center Performance Benchmark Series, which provides an industry-wide perspective on Availability, Security, Productivity, Cost and Speed of Deployment. The purpose of this study is to determine the domain knowledge of data center personnel while also collecting data on application of best practices and current operating conditions within participants’ data centers.
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Emerson Network Power
Published By: SAP     Published Date: Aug 14, 2018
As legacy ERP data structures and technology begin winding down, they are making way for a whole new generation of technology that brings exponential performance and dramatically new problem-solving capabilities. Download the whitepaper to discover the demands driving this evolution, explore the potential promised by next-gen ERP, and learn why ‘playing it safe’ is no longer an option.
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SAP
Published By: SAP     Published Date: Jul 23, 2018
Leading companies are making digital transformation a reality put data and intelligence at the center of their future. They are building new capabilities, skills, and technology, and evolving their culture to transform into an ‘Intelligent Enterprise’ and achieve the aforementioned outcomes. These companies are not only delivering short-term value to shareholders, but are also positioned to thrive and transform their industry. Explore how SAP can help you navigate the journey to the Intelligent Enterprise.
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SAP
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Principled Technologies executed four typical deployment and management scenarios using both HPE Synergy and Cisco UCS. They found that HPE Synergy saved 71.5 minutes and 86 steps, and used four fewer tools compared to Cisco UCS. In a hypothetical 200-node datacenter, that’s a total of 9 work weeks, or just over 2 months’ time savings on routine tasks."
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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: Akamai Technologies     Published Date: Jun 14, 2018
It’s likely not a matter of if, but when your company will fall prey to targeted attack involving malware, ransomware, data exfiltration, or phishing. In fact, 70% of organizations reported a security incident that negatively impacted their business in the past year. Learn more about the realities of cybercrime in today’s hyperconnected world.
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cybercrime, security, malware
    
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: Akamai Technologies     Published Date: Jun 14, 2018
"Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy. One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware. "
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dns, rdns, security, zero trust security, malware, data, network security
    
Akamai Technologies
Published By: Dell EMC     Published Date: Aug 06, 2018
Data is transforming the way we live and work and has become a catalyst for innovation in our economy.
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Dell EMC
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
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
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