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Published By: Red Hat     Published Date: Sep 25, 2014
Enterprises are increasingly adopting Linux as a secure, reliable and high-performing platform that lowers acquisition and operating costs while providing the agility needed to anticipate and react to changing business conditions. In particular, the Red Hat Enterprise Linux (RHEL) operating environment, which is based on the Linux open-source kernel, has become widely deployed by medium-sized and large businesses, by enterprises in their data centers, and in private and public cloud infrastructures. RHEL is distributed and supported by Red Hat Inc., the world’s largest provider of open-source software solutions, accounting for 74.7% of worldwide Linux operating system (OS) revenue. As a development and deployment platform, RHEL offers an efficient, scalable and robust operating environment with certified security and flexible deployment options in physical and virtualized environments.
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enterprise solutions, open-source software
    
Red Hat
Published By: Red Hat     Published Date: Sep 25, 2014
Today’s mega IT trends – cloud computing, big data, mobile and social media –have dramatically altered how enterprises work, requiring datacenters to find new, more flexible and cost effective ways to meet computing demands. For most datacenters, the path toward tomorrow's compute paradigm mandates an investment in standardization and consolidation as well as a more robust adoption of enterprise virtualization software, along with cloud system software to extend that virtualized infrastructure into a true private cloud environment. Linux has emerged as one of the key elements to a modernization program for a datacenter.
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datacenter, modernization, enterprise virtualization, infrastructure, private cloud enviornment
    
Red Hat
Published By: Delphix     Published Date: May 28, 2015
In a world of privacy regulation, intellectual property theft, and cybercrime, only a masking solution can secure vital data and enable outsourcing, third party analysis, and cloud deployments. Delphix delivers rapid deployment of masked data in minutes, service-based masking of production systems, and the ability to ship masked data across sites, to third parties, and into the cloud, with minimal network footprint.
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Delphix
Published By: Visier     Published Date: Jan 30, 2015
Until recently, ConAgra Foods struggled to collect accurate, analyzable data about its workforce. Information was spread across the organization in siloed systems within various departments and was often difficult to reconcile. In a few short years, however, ConAgra Foods has been able to leverage technology solutions to gain real-time insights into its employee data and can now analyze its workforce across a wide range of subject areas. Download this case study to see how ConAgra Foods transformed the role of HR through analytics, and to get guidance on how your organization can adopt a similar approach.
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visier, conagra, workforce, hr analytics, real-time insights, human resources
    
Visier
Published By: Equinix     Published Date: Oct 27, 2014
Enterprises grapple with a host of challenges that are spurring the creation of hybrid clouds: collections of computing infrastructure spread across multiple data centers and multiple cloud providers. This new concept often provokes uncertainty, which must be addressed head on. As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers. They want to be able to move servers and storage around without a negative impact on application availability.
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data center, enterprise, cloud, experience, hybrid, performance, strategy, interconnectivity
    
Equinix
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: MarkLogic     Published Date: Nov 08, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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MarkLogic
Published By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
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MarkLogic
Published By: MarkLogic     Published Date: Nov 15, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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MarkLogic
Published By: MarkLogic     Published Date: Jun 19, 2017
There is opportunity in the ongoing turbulence throughout the financial industry; however, regulatory and compliance challenges absorb resources and distract focus away from growth. Download white paper to learn about a smart approach to data and innovative tools that build resilience into a business looking to not just weather the storm, but seize the advantage. Overview: - Executive Summary - Challenges of Financial Markets Today - The Need for a 360-View of Data - How to Deliver: Increased Transparency Adapt to Evolving Regulations Improve Compliance and Lower Cost - Solution Architecture for Regulatory Reporting - Case Study: Adapting to Regulatory Complexity "Disparate systems led to frequent cycles spent correcting errors within the data”.
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation
    
MarkLogic
Published By: ServiceNow     Published Date: Mar 24, 2015
Technology has become the heart and soul of every business. The hardware boundaries of IT have exploded beyond data centers, with mobile devices in the hands of both employees and customers alike. Application options have blossomed, from traditional to open source to software-as-a-service. Business has become global, bringing with it a demand for round-the-clock agility. Employees expect that the applications they use at work should be as easy to use the Web apps they use at home. Integration remains difficult, because it's sometimes impossible to know what will happen when someone tries to pluck one strand out of the pile. IT workload and system complexity will only get more challenging, bringing the need for disintermediation through service automation.
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future it, service automation, it workload, integration, data centers, mobile devices, software-as-a-service, web apps
    
ServiceNow
Published By: MobileIron     Published Date: Mar 21, 2017
As organizations increasingly use Office 365 and other cloud services on mobile devices, they need a secure mobile and cloud architecture to protect all of these apps and data on the device and in transit. It requires a comprehensive, unified approach to enterprise mobility management (EMM) that includes defense-grade security, massive scalability, a broad ecosystem of technology partners, enhanced Office 365 security, and integrated Windows 10 desktop and mobile management. And it has to provide all of this without locking customers into a proprietary technology stack.
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MobileIron
Published By: MobileIron     Published Date: Nov 14, 2017
This paper covers some of the critical security gaps today’s mobile-cloud enterprises must address: • Unsecured devices. Unsecured devices allow users to easily access business data from mobile apps or cloud services simply by entering their credentials into an app or browser on the device. Once on the device, data can be easily compromised or shared with unauthorized, external sources. • Unmanaged apps. These typically include business apps, such as Office 365 productivity apps, that the user has downloaded from a personal app store instead of the enterprise app store. As a result, these apps are not under IT control but can still be used to access business content once the user enters his or her credentials. • Unsanctioned cloud services. Most enterprise cloud services have associated ecosystems of apps and services that integrate using APIs. While the enterprise cloud service might be sanctioned, apps and services from its ecosystem might not be.
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MobileIron
Published By: K2     Published Date: Apr 27, 2015
This paper describes how a business-app platform from K2® can help you provide simpler, more cost-effective ways to empower people by connecting them with data that is dispersed across different systems.
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erp and legacy systems, data volume, business processes, cloud crm system, system complexity, business apps
    
K2
Published By: Mimecast     Published Date: Dec 20, 2018
Over the last few years government agencies have been concerned with protection of personal data and consequences of data breaches on business and citizens. That’s driven businesses to look how rules and regulations can help guide organizations to build systems and processes that protect peoples data. Watch now to learn more.
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Mimecast
Published By: Teradata     Published Date: Aug 27, 2015
While your specific data throughput mileage may vary, this paper will share the factors that directly contribute to a Data Movement solution, the data storage ecosystem alternatives, and the pitfalls you may face when attempting to architect such a solution in your data warehouse environment.
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analytics, big data, applications, lob
    
Teradata
Published By: MuleSoft     Published Date: Apr 13, 2016
Today’s successful organization needs to be able to turn on a dime, changing its product or service direction as fast as its customers’ needs require. The successful business of the 21st century crosses all boundaries; can quickly meet and adapt to competition, whether it comes from another part of the world, another industry or a startup; or it can use its core competencies to extend itself in new ways. Welcome to the Composable Enterprise. This kind of company—powered by cloud, open APIs, data analytics, mobile and social, and connected to the Internet of Things—is redefining markets and raising consumer expectations. The composable enterprise casts away the hierarchical and hardwired systems and processes that defined its predecessors, and represents a radical rethinking of how technology can serve innovation and how innovation can serve customers.
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enterprise network, digital management, enterprise application, application management, data, data analytics, cloud management
    
MuleSoft
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
Published By: Akamai Technologies     Published Date: Apr 25, 2018
Cyber attackers are targeting the application programming interfaces (APIs) used by businesses to share data with customers. Consumer mobile adoption, electronic goods and services, and high volumes of data have led businesses to use APIs for data exchange. Unfortunately, attackers can also use APIs to access or deny service to valuable data and systems. This white paper explores strategies for protecting APIs. You’ll learn about APIs, how and why these endpoints are targets for web application attacks, security models, and how Akamai can help.
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api, security, interface, businesses, data, mobile, adoption
    
Akamai Technologies
Published By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
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ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization
    
IBM
Published By: IBM     Published Date: Oct 06, 2016
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months and can cost an organization an average of 11 million USD.
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cyber security, security analysis, integrated data systems, cyber intelligence, malware investigation
    
IBM
Published By: OpenText     Published Date: Jun 28, 2019
Integration Technologies Should Reduce The Burden of Data Integration and Management Digital transformation has multiplied the number of packaged applications and the interfaces that support them. It also requires a greater agility from businesses to follow growing customer demands for value, innovation, and new and improved digital interactions. This means that interfaces must constantly evolve to support the continuous integration and continuous delivery (CI/CD) of systems of engagement. These applications are under pressure from customer experience, employee experience, and the required operational excellence of automation systems.
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OpenText
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement, human resources
    
IBM
Published By: IBM     Published Date: Jun 08, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, linux, windows, telecommunications, healthcare, oracle database
    
IBM
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