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Published By: Carbonite     Published Date: Apr 09, 2018
IT admins tasked with restoring servers or lost data during a disruption are consumed with a single-minded purpose: successful recovery. But it shouldn’t take an adverse event to underscore the importance of recovery as part of an overall backup strategy. This is especially true with large datasets. Before you consider how you’re going to back up large datasets, first consider how you may need to recover the data. Variables abound. Is it critical or non-critical data? A simple file deletion or a system-wide outage? A physical server running onsite or a virtual one hosted offsite? These and a handful of other criteria will determine your backup and disaster recovery (BDR) deployment. What do we mean by large? A simple question with a not-so-simple answer. If your total data footprint is 5 TB or more, that’s considered large. But what kind of data is it? How many actual files are there? How frequently do they change? How much can they be compressed? It’s likely that two different 5 TB en
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Carbonite
Published By: Juniper Networks     Published Date: Aug 10, 2017
OpenLab provides an environment and set of resources where customers representing telecommunications, education, government, financial services, and virtually every other vertical market can explore new technologies, all in the spirit of network transformation. By examining SDN/network automation solutions such Network Functions Virtualization (NFV), software-defined WAN (SD-WAN), and others, OpenLab offers a platform for developing and delivering new network-integrated functionality that serves the greater need.
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technology efficiency, cloud storage services, mobile devices, applications, online collaboration tools, client services, data encryption, remote access, workflow integration
    
Juniper Networks
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s). You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases. If this is not the case, then only manual or synthetic data provision is a viable option. Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging. Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
Hard- und Softwaresysteme werden immer effizienter, ausgereifter und nutzbringender, nehmen tendenziell allerdings auch an Komplexität zu. Als z. B. virtuelle Maschinen die Bare-Metal-Softwareumgebungen ablösten, entstand durch die Virtualisierung eine neue Ebene der Komplexität, die die IT-Teams mit einplanen und managen mussten. Auch der in den letzten Jahren zunehmende Einsatz von Microservices und Containern hat dazu geführt, dass immer mehr Komponenten in eine einzige Anwendung integriert und somit auch orchestriert werden müssen. In der Regel sind die für den IT-Betrieb zuständigen Teams jedoch in ihrer Fähigkeit begrenzt, dieser wachsenden Komplexität Herr zu werden. Naheliegend wäre sicher, mehr Personal einzustellen, dies ist allerdings keine sehr wirtschaftliche Lösung, die zudem keine guten Skalierungsmöglichkeiten bietet.
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CA Technologies EMEA
Published By: TIBCO Software     Published Date: May 31, 2018
With data the new competitive battleground, businesses that take advantage of their data will be the leaders; those that do not will fall behind. But gaining an advantage is a more difficult technical challenge than ever because your business requirements are ever-changing, your analytic workloads are exploding, and your data is now widely-distributed across on-premises, big data, the Internet of Things, and the Cloud. TIBCO® Data Virtualization is data virtualization software that lets you integrate data at big data scale with breakthrough speed and cost effectiveness. With TIBCO Data Virtualization, you can build and manage virtualized views / data services that access, transform, and deliver the data your business requires to accelerate revenue, reduce costs, lessen risk, improve compliance, and more.
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TIBCO Software
Published By: VMware     Published Date: Dec 10, 2018
As agencies continue to modernize data center infrastructure to meet evolving mission needs and technologies, they are turning to agile software and cloud solutions. One such solution is hyper-converged infrastructure (HCI), a melding of virtual compute, storage, and networking capabilities supported by commodity hardware. With data and applications growing exponentially along with the need for more storage capacity and flexibility, HCI helps offset the rising demands placed on government IT infrastructure. HCI also provides a foundation for hybrid cloud, helping agencies permanently move applications and workloads into public cloud and away from the data center.
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VMware
Published By: VMware     Published Date: Dec 14, 2018
Hyperconverged infrastructure (HCI) is giving organizations the agility to respond quickly to demand for new products, services and applications. Many organisations begin their HCI journey by targeting specific use cases such as virtual desktop infrastructure, disaster recovery and remote office-branch office environments. But HCI continues to evolve far beyond these use cases. In this case study, we look at real world deployments to identify how HCI is helping businesses to reduce TCO, improve scalability and rapidly adopt new technologies. Please enter your details to view the case study.
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VMware
Published By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant
Published By: Secureworks ABM UK 2017     Published Date: Oct 23, 2017
GDPR will pose different challenges to each organisation. Understanding and acting on the implications for your own organisation is vital. That means taking a risk-based approach to ensure that you are doing what you need to do to manage your own specific risks to personal information. While virtually all organisations will have to implement changes to become GDPR compliant, some will be able to take partial advantage of existing compliance to other security mandates and frameworks, such as ISO 27001 and PCI by extending those measures to protection of personal data. Even so, further work will be required to comply with GDPR, both with regards to security and its other aspects.
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cyber security, cyber security framework, data security, firewall, general data protection regulation, incident and problem management, information security, intrusion detection, intrusion prevention, log management, malware, vulnerabilities, managed security services, network security, pci compliance, penetration testing, ransomware security consulting, security management, security monitoring, vulnerability assessments
    
Secureworks ABM UK 2017
Published By: Riverbed     Published Date: May 24, 2012
Thanks to new edge virtual server infrastructure (edge-VSI), organizations can now consolidate storage considered impossible to consolidate due to the response time requirements of branch-bound applications that rely on local storage.
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esg, steelhead, riverbed, consolidation, optimization, granite, storage, servers
    
Riverbed
Published By: Riverbed     Published Date: May 24, 2012
Riverbed Steelhead EX + Granite enables a new edge virtual server infrastructure (Edge-VSI) architectural approach that does for edge servers what virtual desktop infrastructure (VDI) did for desktops,
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steelhead ex + granite, riverbed, rto, rpo, granite, edge-vsi, vdi
    
Riverbed
Published By: Riverbed     Published Date: May 24, 2012
Data transfer bottlenecks and unpredictability on the Wide Area Network (WAN) can hurt application performance. In addition, the time required to migrate large volumes of data to and from data centers can be a serious concern to business continuity.
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wan, wan optimization, riverbed, virtual steelhead
    
Riverbed
Published By: Riverbed     Published Date: May 24, 2012
Forrester Consulting recently analyzed the requirements for consolidating branch office infrastructures while simultaneously supporting the demands of emerging business goals.
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infrastructure, server and storage virtualization, wan optimization, dns, dhcp, branch-office
    
Riverbed
Published By: Riverbed     Published Date: May 24, 2012
End users want to be productive just as much as the business wants them to be. Most people thrive in environments where they are set up to succeed, and IT has a strategic role in that process. Simply put, users expect applications to be faster.
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enterprise it, platform, server virtualization, private cloud, public cloud, cloud services, data centers, steelhead, granite, stingray, cascade
    
Riverbed
Published By: CA Technologies     Published Date: Jun 09, 2015
Today’s organizations are challenged to be the first to market with ‘The Next Big Thing’. They must innovate with new and unique services to satisfy customer demands and differentiate themselves in the marketplace. Software drives that innovation and has turned every organization into a software organization. This Executive Brief describes how the efficient collaboration between the development and IT operations teams can bring high-quality applications to market as quickly as possible. The CA Application Delivery suite helps organizations achieve collaborative DevOps through innovative technology tools used to: •Accelerate application development by removing constraints with CA LISA® Service Virtualization. •Expedite release time with CA LISA® Release Automation. •Improve application testing and quality with CA LISA® Pathfinder
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CA Technologies
Published By: Dell & Microsoft     Published Date: Aug 14, 2013
IT is under extensive pressure to cut costs, provide additional services and keep users happy. Windows Server 2012 provides a way to do all three and serves as a conduit to the cloud, virtualization and the bring your own device (BYOD) trend.
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windows server 2012, data center, cloud, virtualization, bring your own device
    
Dell & Microsoft
Published By: Box     Published Date: Nov 06, 2019
Digital transformation has changed virtually everything in the business world. Old ways of working are no longer enough to keep up with the rapid pace of innovation and markets are changing. Whether you’re a tech startup born in the digital world or a 100-year-old company establishing new processes, every business is rethinking the way it works internally and with partners across the extended enterprise. And as companies cope with the tectonic shifts of the digital age, they are transforming to become more digital, too. To find out more download this whitepaper today!
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Box
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
"The term Value Network describes enterprises that truly connect into a network of partners that collaborate and communicate with lightning speed and agility. The supply chain is now overshadowed by interconnected Value Networks. One example for Value networks applications is the digital twin, where the physical environment is replicated in a virtual model to harmonize new product design, process design and manufacturing design with planning, logistics, service and execution. When the virtual world and real world truly work together, we are able to speed up decision-making, reduce risk and cost, deliver great customer experiences, and minimize waste to make businesses more sustainable. Dassault Systèmes DELMIA,powered by the 3DEXPERIENCE platform, delivers the solutions to industries and service providers to transform their operations and orchestrate their entire Value Network."
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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Dassault Systèmes
Published By: IBM     Published Date: May 02, 2013
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
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optimize, storage, efficient, data center, analytics, business, virtualization
    
IBM
Published By: IBM     Published Date: May 02, 2013
Many organizations have understandably turned to consolidation and virtualization to reduce server complexity, footprint and cost-to-scale. The next step is to optimize performance using analytics, policy-based automation and new technologies like cloud computing. Companies that focus on server optimization are seeing greater flexibility and sustained cost and operational efficiencies, with administrators able to manage 2.5 times more servers and almost twice as many virtual machines per server.
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optimize, server, environment, efficient, data center, optimize, virtualization
    
IBM
Published By: IBM     Published Date: Jun 26, 2013
Protect your applications quickly with a resilient cloud.
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disaster recovery, cloud computing, resilience
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Building and managing cloud resiliency solutions in-house is difficult. Many organizations prefer to work with a third-party technology provider for the development and management of cloud solutions.
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cloud computing, business intelligence, cloud solutions, recovery point objectives, virtualization technologies, recovery solutions
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
    
IBM
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