data center

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Published By: Rubrik EMEA     Published Date: Jan 04, 2019
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubrik’s Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance. DATA
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Rubrik EMEA
Published By: Ruckus Wireless     Published Date: Jul 11, 2018
In an era of "lean IT," the centralized management capabilities of cloud-managed Wi-Fi make it an attractive option to manage and maintain wireless LANs (WLANs) across multiple locations. The decision to move WLAN management to the cloud requires one key assurance: end-to-end security from user devices to the cloud. This means that user data must be protected over the WAN and in the data center. These security measures should not require on-staff WLAN security expertise to manage. And security measures should be largely transparent to users. This paper provides an overview of the security architecture of Ruckus Cloud Wi-Fi, as well as best practices for specific security scenarios.
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Ruckus Wireless
Published By: Runsmart     Published Date: Feb 22, 2018
Download the white paper that takes an in-depth look at the technology behind Baselayer's updated RunSmart, as well as information on competing products.
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runsmart, dcim, data center management, infrastructure, architecture, data integration
    
Runsmart
Published By: Sanbolic     Published Date: Dec 03, 2007
Microsoft® System Center Virtual Machine Manager provides a comprehensive management solution for the virtualized data center that enables increased physical server utilization and centralized management of virtual machine infrastructure.
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storage management, virtual storage, sanbolic, storage
    
Sanbolic
Published By: Sanbolic     Published Date: Dec 03, 2007
It is now possible to build a distributed virtualized data center that can easily be managed using standard Windows tools - made possible by recent advances in cluster file system technology.
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sanbolic, windows, data center, datacenter, data centers, virtual data center, data center virtualization, windows storage server
    
Sanbolic
Published By: SAP     Published Date: Nov 16, 2017
The SAP HANA platform has successfully become a proven mainstay data management solution, supporting the full range of analytic and transactional software from SAP, both in the data center and in the cloud.
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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: SAS     Published Date: Sep 13, 2013
Visualizing Data: A Harvard Business Review Insight Center Report
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sas, visualizing data, harvard business review, visualization, insight center report, software development
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
Stop to think about how – and how often – your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns. Typically, organizations believe that they are using only a small fraction of it effectively – at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
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sas, text analysis visualization, voice of the customer, unstructured text inputs, business technology
    
SAS
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: Savvis     Published Date: Jul 07, 2010
This white paper reviews the evolution of data center outsourcing, and introduces cloud offerings within this historical framework.
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savvis, outsourcing, cloud infrastructure, virtual data center
    
Savvis
Published By: Savvis     Published Date: Jul 07, 2010
The cloud services market is now directly addressing the needs of application developers, with an emerging class of services that provides fast, on-demand provisioning; instant scale up and down capabilities, and support for multi-tier application architectures, as well as workload migration capabilities and a pay-as-you go model.
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savvis, software development, cloud testing, application architecture, workload migration, saas, software-as-a-service, cloud computing, virtual data center
    
Savvis
Published By: Savvis     Published Date: Jul 07, 2010
This paper describes the Symphony VPDC enterprise-grade infrastructure service that provides true high availability enterprise IT environments, supporting development to production, with automated provisioning of servers, network, storage, software and security.
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savvis, virtual private data center, cloud computing, virtualization, vpdc, hosting management service
    
Savvis
Published By: Savvis     Published Date: Jul 07, 2010
Savvis Symphony VPDC introduces one of the industry's first enterprise-grade Virtual Private Data Center (VPDC) solutions with multi-tiered security and service profiles.
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savvis symphony, virtual private data center, vpdc, security, it infrastructure, outsourcing, cloud computing
    
Savvis
Published By: Savvis UK Limited     Published Date: Nov 12, 2010
The cloud services market is now directly addressing the needs of application developers, with an emerging class of services that provides fast, on-demand provisioning; instant scale up and down capabilities, and support for multi-tier application architectures, as well as workload migration capabilities and a pay-as-you go model.
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savvis, application development, testing, cloud services, software development, independent software vendors, isv, software-as-a-service, saas, virtual data center, roi
    
Savvis UK Limited
Published By: Savvis UK Limited     Published Date: Nov 12, 2010
Virtual Private Data Centers with multiple service profiles deliver scalable capacity while minimizing costs.
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savvis, virtual private data center, vpdc, enterprise application, storage protection, cloud
    
Savvis UK Limited
Published By: Savvis UK Limited     Published Date: Nov 12, 2010
This white paper reviews the evolution of data center outsourcing, and introduces cloud offerings within this historical framework.
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savvis, managed services providers, msps, data center outsourcing, application lifecycle, virtualization
    
Savvis UK Limited
Published By: Schneider Electric     Published Date: Jun 04, 2014
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how data center infrastructure management software tools can simplify operational processes, cut costs, and speed up information delivery.
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schneider, electric, data, infrastructure, convert data, business value, it management, data management, data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
While many who invest in Data Center Infrastructure Management (DCIM) software benefit greatly, some do not. Research has revealed a number of pitfalls that end users should avoid when evaluating and implementing DCIM solutions. Choosing an inappropriate solution, relying on inadequate processes, and a lack of commitment / ownership / knowledge can each undermine a chosen toolset’s ability to deliver the value it was designed to provide. This paper describes these common pitfalls and provides practical guidance on how to avoid them.
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schneider, electric, dcim, solution, invest, infrastructure, management, software, it management, data management
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing, however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash cross-over point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.
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schneider, electric, data, infrastructure, upgrade, retail, outsource, own, data management, business technology, data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
70% of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident” reporting (AIR) database1. This figure highlights the critical importance of having an effective operations and maintenance (O&M) program. This paper describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
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schneider, electric, data, center, facility, operations, maintenance, management, it management, knowledge management, business technology, data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a “total cost of ownership” (TCO) savings of 30% compared to traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.
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schneider, electric, data, center, scalable, integrated, power, cooling, capacity, it management, data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: May 09, 2016
Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
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schneider electric, edge computing, data center, energy efficiency, data center energy
    
Schneider Electric
Published By: Schneider Electric     Published Date: May 09, 2016
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
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schneider electric, edge computing, data center, energy efficiency, data center energy, preventive maintenance, tool for controlling, tco
    
Schneider Electric
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