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Published By: NetApp     Published Date: Jun 19, 2014
As the amount of data created by organizations grows, efficient management of these resources is becoming increasingly important. Simply retaining data is not enough; effective organizations must be able to leverage their IT and intellectual resources to deliver business value. This Evaluator Group report looks at the popular trend of the adoption of IT as a Service (ITaaS), also known as cloud services. As well as the several technologies needed to deliver ITaaS or Cloud.
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netapp, evaluator group, enterprise storage, it as a service, itaas, cloud services, data center
    
NetApp
Published By: Schneider Electric     Published Date: Jun 04, 2015
This paper shows how virtualizing a data center’s IT resources can have certain consequences related to the physical infrastructure.
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virtualisation, data center, cloud computing, cooling and management, cooling, power and cooling, virtualization, infrastructure, design and facilities
    
Schneider Electric
Published 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
Published By: Fujitsu     Published Date: Dec 22, 2015
This whitepaper reveals the benefits of software defined storage, and hyper-scale data management in particular.
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software defined storage, storage, data management, hyper-scale sds, sds, infrastructure
    
Fujitsu
Published By: HP     Published Date: Oct 09, 2008
Increase utilization, decrease energy costs with data center virtualization In the past, IT departments have responded to demands for new services and better performance by adding more hardware, resulting in underutilized technology silos and server sprawl. Today, many organizations are turning to virtualization technologies that facilitate consolidation and increased utilization. In short, virtualization brings the ability to pool, share and dynamically reallocate data center resources – and helps fulfill the promise of higher utilization and lower energy consumption and lower costs.Join us and learn why HP is well prepared to help you assess and address your needs. Find out what key virtualization partners -- such as VMware, Microsoft and Citrix – bring to the table and how HP can help you leverage their technology and expertise.
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mission critical, virtualization, hewlett-packard company
    
HP
Published By: HP Data Center     Published Date: Mar 25, 2009
The need for reliable data centers is growing, especially in the small to medium sized business market.  So too is the price of data centers -- both in terms of initial cost and Total Cost of Ownership (TCO) -- as equipment, service and utility costs continue to escalate.  How is a data center manager going to support an IT-based business strategy that hinges on high availability, at a reasonable business cost?  Insource? Outsource? Build? Lease? This presentation looks at the factors driving data centers costs, their impact, how they can be controlled, and how to justify the data center you need.
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data center costs, hp data center, tco, total cost of ownership, price of data centers, it spending, it architecture, insource, outsource, build, lease, networking, data center design and management
    
HP Data Center
Published By: Dell-Intel     Published Date: Jul 16, 2009
The Business Ready Configurations for Dell PowerEdge blade servers, Dell EqualLogic SAN, and VMware Infrastructure provides a detailed reference architecture for deploying and using VMware virtualization on Dell blades and iSCSI storage environments. The Dell PowerEdge M1000e supports the recently announced 11th generation Dell PowerEdge M610 and M710 blade servers based on the new Intel Xeon processors.
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data center, virtualization, xeon, dell, intel, equallogic, san, iscsi, vmware infrastructure, iscsi, poweredge, vmware distributed resource scheduler, drs, vmware, high availability, scalable, scalability, lan, failover, balancing
    
Dell-Intel
Published By: VMware/Intel Server Refresh and Cost Savings     Published Date: Jan 27, 2009
Frustrated by the costs of maintain ever larger data centers-or building new ones-many companies are exploring virtualization. Virtualization lets your IT staff turn your data center into an internal cloud of computing resources controlled by a single virtual data center operating system (VDC-OS).
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vmware, virtualization, server virtualization, data center, fc san, fibre, networkattached storage, nas, nic, high availability, vmware consolidated backup, vcb, vdc os, tco, total cost of ownership, vstorage, distributed power management, dpm, management information systems, mis
    
VMware/Intel Server Refresh and Cost Savings
Published By: Citrix Systems     Published Date: Oct 16, 2015
Cases for App Virtualization
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app virtualization, data, secure access, productivity, corporate resource
    
Citrix Systems
Published By: Infosys Limited     Published Date: Aug 02, 2019
Growing by 2.5 quintillion bytes everyday, data is a truly inexhaustible resource. More importantly, it creates endless possibilities for enterprises to make their data do more, from delivering great customer experiences to creating new revenue opportunities.
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Infosys Limited
Published By: ForeScout     Published Date: Aug 14, 2012
Business wants more fluid access to data while IT organizations must maintain security. As the variety of access and multitude of threats to network resources and sensitive information have grown, so has the need for more flexible and automated ways to effectuate security policies, controls and enforcement. Rarely is this need more keenly felt than at the network endpoint, where people, technology, information assets and requirements for security and compliance meet most directly.
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pragmatic, path, achieving nac results, essential implementation, process, control, consideration, data, access, it organization, security, protection, network, access, control, nac, interoperability, 802.1x standards, control, options
    
ForeScout
Published By: McAfee     Published Date: Apr 16, 2014
SANS Institute looks at how network attacks can be avoided by utilizing a SIEM platform that combines historical data with real-time data from network sources and security policies for better, more accurate reporting.
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siem, sans, endpoint, network, correlation, integration, security
    
McAfee
Published By: Viavi Solutions     Published Date: Apr 14, 2017
In the age of information, staying on top of emerging threats requires IT teams to leverage existing tools in innovative ways, such as applying deep packet inspection and analysis from performance monitoring solutions for advanced security forensics. Based on recent insight gathered from 322 network engineers, IT directors and CIOs around the world, 85 percent of enterprise network teams are now involved with security investigations, indicating a major shift in the role of those teams within enterprises. Large-scale and high-profile security breaches have become more common as company data establishes itself as a valuable commodity on the black market. As such, enterprises are now dedicating more IT resources than ever before to protect data integrity.
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network security, security validation, technical security, cyber attacks, database security, it security, traffic analytics, data report
    
Viavi Solutions
Published By: Dell     Published Date: Sep 12, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
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data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell
Published By: Teradata     Published Date: Mar 10, 2014
We evaluate vendors providing applications that support the management of marketing resources, such as plans, people, budgets, projects, tasks, assets and cycle times. This Magic Quadrant will help marketing leaders and CIOs find an MRM solution to better manage their marketing resources.
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teradata, marketing resource management, magic quadrant, brandmaker, brandsystems, brandwizard, capital id, direxxis, elateral, ibm, infor, microsoft, north plains, pti marketing technologies, saepio, sap, sas, wedia, marketing resources, mrm solution
    
Teradata
Published By: Adobe     Published Date: Jun 26, 2019
To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.
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Adobe
Published By: CenturyLink     Published Date: Jan 02, 2015
The market for cloud compute infrastructure as a service (a virtual data center of compute, storage and network resources delivered as a service) is still maturing and rapidly evolving. Strategic providers must therefore be chosen carefully.
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gartner, magic quadrant, compute infrastructure, storage resources, network resources, strategic providers, data center
    
CenturyLink
Published By: Dell EMC     Published Date: Mar 18, 2016
Big Data brings unquestionable value to any organization. But as it continues to grow in volume, more sources and increased storage capacity needs grow with it, taxing the performance of existing infrastructures. But you don’t have to be stuck in such a dismal place. Make the trip to Data Lake instead.
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emc, data lake, big data, storage, infrastructure
    
Dell EMC
Published By: AWS     Published Date: Nov 02, 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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s 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.
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AWS
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: AWS     Published Date: Aug 06, 2019
Old-guard database providers are expensive, proprietary, have high lock-in costs, and impose restrictive licensing terms. The challenge to date has been to achieve the same performance and availability of commercial-grade databases on open source databases such as MySQL, PostgreSQL, and MariaDB. Examine key considerations that go into any database migration decision and specific use cases—in Financial Services and Healthcare Analytics implementations—where Datavail carefully managed database migrations from traditional database providers to the cloud—and in particular Amazon Aurora. Download the eBook to learn about: Migration considerations and strategies including lift and shift, re-platforming, and re-factoring Security and compliance functionality enabled by Amazon Aurora Performance and scalability opportunities enabled by AWS
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AWS
Published By: LogRhythm     Published Date: Jun 19, 2018
SIEM deployments may stall or fail if not implemented with the right scope, use cases, data sources, architecture, expertise or staff size. Security and risk management leaders deploying a SIEM solution should follow this structured approach to ensure a successful implementation.
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siem, gartner, risk, management, implementation
    
LogRhythm
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Epson     Published Date: May 10, 2018
Online, mobile, omnichannel, untethered, data mining, automation, and remote communication are all now buzzwords surrounding the new technologies and resources financial institutions have to help them re-invent their branch experience. Capabilities are available today that were not imagined a decade ago. This is an exciting time for those institutions that can look to the future and enhance their offerings. While technology is driving change, it can also be a tremendous challenge for financial institutions as they work to keep pace and even take advantage of the dramatic shift in customer needs and expectations. Millennials, baby boomers, small businesses – all are important market segments with very different wants and needs. Driven by technology, the new demand is for a complete online presence, complemented by more flexibility in personalized services, and specialized expertise available in every branch. Suffice it to say, financial institutions of all sizes and in every geography a
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Epson
Published By: Anaplan     Published Date: Sep 07, 2018
The findings of FSN’s Innovation in the Finance Function global survey prove insightful and compelling—and highlight the critical role that innovative planning technology plays in the field of finance. Organizations today are evolving their operating models in conjunction with rising globalization, the value of big data, technological advances, regulatory changes, and demographic shifts. They are also in pursuit of business growth with the same or—in some cases—fewer resources than before.
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Anaplan
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