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Published By: Red Hat     Published Date: Jun 23, 2016
FICO, a data analytics software company, wanted to diversify into new markets its core offering of providing on-premise software to major corporations. To do this, the company launched FICO Analytic Cloud, a cloud delivery channel that enables FICO to serve organizations of all sizes. FICO Analytic Cloud was first launched in 2013 and provides Platform-as-a-Service (PaaS) access to FICO Decision Management Platform, which allows customers to use FICO tools and technology to create, customize, and deploy applications and services. FICO Decision Management Platform is built on OpenShift Enterprise by Red Hat, which provides the PaaS tools and support FICO needed to rapidly scale the platform and Analytic Cloud.
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technology, data, enterprise, best practices, software
    
Red Hat
Published By: SolidFire_NetApp     Published Date: Oct 10, 2016
This paper introduces five architectural principles guiding the development of the next generation data center (NGDC). It describes key market influences leading a fundamental enterprise IT transformation and the technological trends that support it. The five principles are: scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. Cloud infrastructure delivery models such as IaaS, private clouds, and software-defined data centers (SDDC) are foundations for the NGDC. In an era where IT is expected to ensure productiongrade support with a plethoric flow of new applications and data, these models demonstrate how to eliminate bottlenecks, increase self-service, and move the business forward. The NGDC applies a software-defined everything (SDx) discipline in a traditional, hardware-centric business to gain business advantage.
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SolidFire_NetApp
Published By: VMware     Published Date: Nov 02, 2016
As organizations begin to adopt public cloud, one element of consideration is what to do with existing applications. These applications were not built with cloud in mind, though most are virtualized today. These organizations must now determine a modernization strategy for these applications and incorporate how public cloud might fit into the picture. This paper examines the use of public cloud for data center extension and replacement, particularly in light of existing traditional enterprise applications. It also looks at the role of VMware's vCloud Air public cloud service in meeting the needs of these applications.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension, data center replacement, date center modernization, virtual private cloud
    
VMware
Published By: Microsoft     Published Date: Jul 07, 2016
Enable, protect, and manage mobile productivity Protecting email and other corporate data on mobile devices—without bogging down workers—is one of today’s biggest challenges faced by IT pros today. With the massive, global proliferation of mobile devices, it can be a struggle to manage and secure these devices and your data, both on approved enterprise applications and shadow IT. Download this free e-book to learn how to control the uncontrollable and create a solution that: • Enables continuous management, so your employees are more productive. • Offers threat protection, so you can detect abnormal user behavior, suspicious activities, known malicious attacks, and security issues right away. • Guards against data leakage. • Provides security after loss or theft of mobile devices. • Helps protect your Microsoft Office email, files, and apps.
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mobile devices, enterprise, best practices, management
    
Microsoft
Published By: Microsoft     Published Date: Jul 07, 2016
Before you transform your business with mobility services, you need to consider both the management and security challenges you’ll face from the combination of mobile devices and cloud-based apps. In this IDC report, you’ll examine enterprise mobility management technology—offered through solutions such as the Microsoft Enterprise Mobility Suite—and how it helps manage the security risks of your mobility strategy. Learn about these critical benefits: • Provisioning and configuration devices and users—across platforms • Ensuring only authorized users access data with identity system integration • Ensuring only compliant devices access the corporate network through conditional access policies • Allowing mobile applications to deploy in a more secure, streamline manner with enterprise app stores • Providing security for data at rest, within workflows or over wireless networks, using granular policies around applications
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mobile, cloud, best practices, productivity, technology
    
Microsoft
Published By: CA Technologies     Published Date: Aug 22, 2017
OAuth is an emerging Web standard for authorizing limited access to applications and data. It is designed so that users can grant restricted access to resources they own—such as pictures residing on a site like Flickr or SmugMug—to a third-party client like a photo printing site. In the past, it was common to ask the user to share their username and password with the client, a deceptively simple request masking unacceptable security risk. In contrast to this, OAuth promotes a least privilege model, allowing a user to grant limited access to their applications and data by issuing a token with limited capability.
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CA Technologies
Published By: CA Technologies     Published Date: Aug 22, 2017
The application economy has forced businesses to transform. To capture new growth opportunities, enterprises are opening up and sharing select data and applications with developers, partners, mobile devices, the cloud and the Internet of Things (IoT). One of the byproducts of this transformation is the discovery that legacy data has value in the application economy—so much so that new revenue opportunities emerge as this data is used in new ways.
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CA Technologies
Published By: Carbonite     Published Date: Apr 09, 2018
There are five essential steps to protecting data and applications from the most common causes of data loss and downtime. IT pros who follow these steps can feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through backup and disaster recovery (BDR) deployments.
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Carbonite
Published By: Datastax     Published Date: Jul 02, 2018
In this eBook, we’ll take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: CA Technologies EMEA     Published Date: Sep 10, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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continuous delivery, application delivery, testing, test data management
    
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 14, 2018
Data security risk caused by third parties is a pervasive problem. Yet, many organizations granting remote privileged access to third-party users leave gaps that represent significant security risks. If you’re like most organizations today, you frequently grant vendors, contractors and other non-staff members access to internal networks and systems. These privileged users remotely administer your operating systems, databases or applications using their own endpoint devices. Download the eBook to learn the five best practices to control security risk brought on by third parties.
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CA Technologies EMEA
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: Fidelis Cybersecurity     Published Date: May 15, 2019
When it comes to cybersecurity, you can only defend what you can see. Organizations continue to suffer breaches, oftentimes because they do not have continuous, real-time visibility of all their critical assets. With more data and applications moving to the cloud, IoT and other emerging technologies, the attack surface continues to expand, giving adversaries more blind spots to leverage. Watch a webinar with SANS where we examine how to: Discover, classify and profile assets and network communications Detect threats and decode content in real-time at wire speed Hunt for unknown threats via rich, indexable metadata Alter your terrain and attack surface with deception to slow down attackers By knowing your cyber terrain and increasing the risk of detection and cost to the adversary, you can gain a decisive advantage.
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Fidelis Cybersecurity
Published By: IBM     Published Date: Jul 07, 2015
Read this white paper to learn about the potential networking ramifications of various cloud deployment models and learn how to meet these challenges head on.
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cloud computing, data center, network performance, network ramifications, applications
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Users expect quick, consistent access to their business-critical data and applications around the clock. That’s why outages, whether they are planned or unplanned, can negatively affect revenue, consumer trust and your reputation.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Managing a large datacenter is a costly, complicated activity for any enterprise, but when that datacenter also includes a number of database servers, and when database performance is critical, those costs and complications can multiply. A recent study from IDC explains simple tips to quantify the value of Oracle Exadata Database Machine for your own business. Discover how to deliver new business applications faster.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
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middleware, java, big data, analytics, mobile development
    
JBoss Developer
Published By: CA Technologies     Published Date: Jan 08, 2014
Cloud adoption, mobility, social media and the consumerization of IT are transforming many business activities for enterprise employees, partners and customers and eliminating the traditional network perimeter. Organizations have to change how they manage security and user identities if they want to keep their data and applications secure. Read this eBook to discover how a centralized identity and access management service can help you create a new identity perimeter.
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ca technologies, identity, identity management, user provisioning, security, mobile, cloud computing, social media, mobility, security management, access mangement, identity perimeter
    
CA Technologies
Published By: CA Technologies     Published Date: Jan 08, 2014
Cloud adoption, mobility, social media and the consumerization of IT are transforming many business activities for enterprise employees, partners and customers and eliminating the traditional network perimeter. Organizations have to change how they manage security and user identities if they want to keep their data and applications secure. Read this eBook to discover how a centralized identity and access management service can help you create a new identity perimeter.
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ca technologies, identity, identity management, user provisioning, security, mobile, cloud computing, social media, mobility, security management, access mangement, identity perimeter
    
CA Technologies
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
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