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Published By: IBM     Published Date: Jan 27, 2017
For more and more organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
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IBM
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: IBM     Published Date: Mar 13, 2014
A detailed research report into the x86 server limitations and how IBM X6 offerings help address these limitations
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ibm, server design, memory, processor, software, processing power, data, design and facilities
    
IBM
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, database development, cloud computing
    
JBoss Developer
Published By: JBoss Developer     Published Date: Oct 21, 2016
Microservices architecture is a new architectural style for creating loosely coupled but autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service (PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations create and manage these modular systems on an unprecedented scale that exceeds earlier approaches like service-oriented architecture (SOA). But organizations that refactor monolithic applications into microservices experience widely varying degrees of success. The key to using microservices effectively is a solid understanding of how and why organizations should use microservices to build applications
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microservices, architecture, java, paas, soa, linux
    
JBoss Developer
Published By: CA Technologies     Published Date: Jan 08, 2014
Most organizations want to leverage the cloud, but also recognize that migrating all their applications at once is not always practical. They are seeking ways to utilize cloud-based services while maintaining certain applications on-premise. For organizations utilizing this hybrid architecture, one of their major challenges is providing users with the flexibility to seamlessly move around the environment while still maintaining appropriate security levels—or more specifically, ensuring consistent control and security policy between on-premise applications and cloud services.
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ca technologies, identity, identity management, identity and access management, iam, cloud, user provisioning, security, cloud security, applications, on premise, network provisioning, network security, access control, application security, authentication, cloud computing
    
CA Technologies
Published By: CA Technologies     Published Date: Jan 08, 2014
Most organizations want to leverage the cloud, but also recognize that migrating all their applications at once is not always practical. They are seeking ways to utilize cloud-based services while maintaining certain applications on-premise. For organizations utilizing this hybrid architecture, one of their major challenges is providing users with the flexibility to seamlessly move around the environment while still maintaining appropriate security levels—or more specifically, ensuring consistent control and security policy between on-premise applications and cloud services.
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ca technologies, identity, identity management, identity and access management, iam, cloud, user provisioning, security, cloud security, applications, on premise, network provisioning, network security, access control, application security, cloud computing
    
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: AppDynamics     Published Date: Sep 20, 2017
Perhaps more than any programming language, Java continues to have a profound impact on how people navigate today’s world. Java’s functionality is responsible for setting a great deal of what users expect in terms of performance from their internet accessible devices. The history of Java is more than two decades long and the language continues to grow and adapt in response to evolving consumer and business expectations. Throughout all of these changes, however, the performance of Java applications remains a paramount concern for developers.
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secure, performance, portable, architecture, software, hardware, java
    
AppDynamics
Published By: AppDynamics     Published Date: Sep 20, 2017
A microservice architecture provides benefits in the areas of service isolation and deployment as well as independent scalability. These benefits lead to more rapid release cycles and better use of available resources. But a microservice architecture also presents a host of new challenges in both deployment as well as performance management. The benefits to microservices far outweigh their challenges and, by identifying them early, you can plan for and ensure that your adoption of a microservices architecture goes smoothly.
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microservice, management, business transactions, hybrid cloud, docker, environment
    
AppDynamics
Published By: AppDynamics     Published Date: Sep 20, 2017
Larger organizations run into problems when monolithic architectures cannot be scaled, upgraded or maintained easily as they grow over time. Microservices architecture is an answer to that problem. It is a software architecture where complex tasks are broken down into small processes that operate independently and communicate through language-agnostic APIs.
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mobile devices, web apps, operating systems, ram, server utilization, multi-core services, ethernet
    
AppDynamics
Published By: CA Mainframe     Published Date: Sep 12, 2008
Business and IT executives should not have to choose between their desire to innovate for future growth and the desire to avoid disrupting current operations. Enterprise innovation that embraces and extends existing infrastructure and applications is possible through modern software architectures such as web services and SOA – as long as those investments perform competitively when measured against alternative platforms and they are able to be modernized to participate in these architectures.
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ca mainframe, mainframe, infrastructure, architecture, platforms, network architecture, network management
    
CA Mainframe
Published By: Liaison Technologies     Published Date: Nov 21, 2011
In this whitepaper, we describe how executive and IT management can get and maintain control of their company's data architecture to help meet business objectives. We describe the relationship between data integration projects and data architecture concepts and practices. We describe how the business planning and IT development processes that direct and leverage data integration projects depend on tooling. We describe breakthrough ways in which data architects, business analysts, programmers, and business users can collaborate to address their organization's pressing business challenges.
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enterprise, soa, technology, liaison, business, data integration, data architecture, it management, analytical applications, business intelligence, data quality
    
Liaison Technologies
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, cloud computing
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
    
Teradata
Published By: CAST     Published Date: May 06, 2013
Download the paper to learn about CAST Application Intelligence Platform (AIP), the only enterprise-grade software quality assessment and performance measurement solution available.
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architecturally complex violation, architectural hotspot, architecture of decay, cast, cast aip
    
CAST
Published By: Juniper Networks     Published Date: Jan 11, 2016
Le guide, Les 5 étape de la planification et de la conception d'un pare-feu, résume les étapes de la planification d'un pare-feu réseau. Il contient aussi des liens vers un guide détaillé comprenant d'autres sites et publications utiles sur le sujet. Si vous concevez l'architecture du pare-feu de votre société, commencez par lire ce document.
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Juniper Networks
Published By: CEB     Published Date: Dec 05, 2013
Improve confidence in your technology plans and break through the vendor hype with this real-world look at technologies actually being deployed by Infrastructure functions across the globe.
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emerging technologies, managed cloud services, cloud based architectures, security technologies, industry trends, technology adoption, technology investment plan, security, software development, it management, knowledge management, human resource technology
    
CEB
Published By: Red Hat     Published Date: Nov 30, 2015
A step-by-step guide for adopting software-defined storage as part of a practical, proactive strategy for managing enterprise data. Flexibility is inherent in this technology, and now more than ever, a flexible IT architecture might be the key to facing the once unthinkable challenges of big data.
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software-defined storage, enterprise data, it architecture, big data, enterprise applications
    
Red Hat
Published By: Dell     Published Date: Feb 02, 2018
This paper is organized into sections describing the importance of IT infrastructure security and presents essential criteria IT leaders should use to identify end-to-end server security. 1. Trust and the Modern IT Infrastructure Why you should be concerned about server security (or the lack thereof). 2. End-to-end Server Security How Dell EMC defines end-to-end server security. In this section, we also provide crucial characteristics business and IT leaders can use to classify prospective server vendors. 3. Key Security Criteria for the Modern IT Infrastructure The security questions every IT leader should ask of their server vendor before embarking on an IT transformation. 4. Conclusion & Additional Resources The objective of this paper is to highlight the Dell EMC comprehensive approach to server security. PowerEdge servers come with security built-in, not bolted-on. Using a Cyber Resilient Architecture, Dell EMC commits to end-to-end server security on all PowerEdge servers.
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Dell
Published By: HGST     Published Date: Feb 23, 2015
Learn how to best understand flash-based architectures and see how with this webcast you will learn the pros and cons of relevant flash technologies, while also learning how to choose from among the many alternatives.
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flash, hgst, flash architecture, sans, it management
    
HGST
Published By: Storiant     Published Date: Apr 27, 2015
Emerging storage vendors offer data center managers and storage administrators new antidotes for their storage challenges. This research details five companies that provide innovative storage capabilities via new architecture and deployment methods, and looks back at two past Cool Vendors.
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storage technologies, it storage vendors, storiant, storage infrastructures, automated storage
    
Storiant
Published By: NetApp     Published Date: Mar 05, 2018
This architecture comparison examines five essential criteria to consider when evaluating flash arrays. Find out the key design differences between the Dell EMC X2 and NetApp AFF flash storage systems and how they compare in terms of scalability, quality of service, application integration, future-proof architecture and cloud integration.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Mar 05, 2018
Not all flash storage architectures are created equal. Read this vendor comparison report and learn about the differences between solutions from NetApp® and Pure and how to find the best all-flash arrays to meet your business needs.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
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