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Published By: McAfee     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise for enterprise IT. Within the SDDC, the benefits of server virtualization are extended to storage and networking, so the entire infrastructure can be abstracted and centrally managed under a unified platform. IT teams are able to leverage unprecedented levels of virtualization, orchestration, and automation to achieve the services-based delivery model that enables true digital transformation.
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data center, networking
    
McAfee
Published By: McAfee EMEA     Published Date: Nov 15, 2017
The transition to the SDCC gives IT managers and security professionals the opportunity to build in a security architecture that is designed from the ground up to meet the needs of the cloud era. With the right architectural model, security can be much simpler to deploy, provision, manage, and scale. Organizations can save money, enhance protection, and leverage the agility of private and hybrid cloud infrastructures. IT teams can expand their visibility from the data center into the cloud, uncovering threats wherever they appear and coordinating an appropriate and comprehensive response.
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software, data center, security, managers, professionals, organizations, money
    
McAfee EMEA
Published By: McAfee EMEA     Published Date: Nov 15, 2017
The Software-Defined Data Center (SDDC) is an overarching philosophy for implementing better data centers. The most basic way to think about an SDDC is as a combination of virtualized computing resources, plus software-defined storage and networking. In addition, SDDC often includes overarching security aspects: in other words, SDDC abstracts and automates all the compute, storage and networking aspects that are traditionally physical, and it can put that automation and abstraction to use in enhancing security.
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data center, software, defined, sddc, implementation, automation, security
    
McAfee EMEA
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Bei einem Software-definierten Rechenzentrum (Software-Defined Data Center, SDDC) handelt es sich um einen ganzheitlichen Ansatz für die Einrichtung besserer Rechenzentren. In der grundlegendsten Form ist ein SDDC eine Kombination aus virtuellen Rechnerressourcen und Software-definierten Speicher- sowie Netzwerksystemen, häufig ergänzt um übergreifende Sicherheitsfunktionen. Mit anderen Worten: Das SDDC fasst nicht nur alle üblicherweise physischen Rechner-, Speicher- sowie Netzwerkaspekte zusammen und automatisiert diese, sondern trägt zusätzlich auch zur Verbesserung der Sicherheit bei.
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McAfee EMEA
Published By: MemSQL     Published Date: Nov 15, 2017
THE LAMBDA ARCHITECTURE SIMPLIFIED Your Guide to Building a Scalable Data Architecture for Real-Time Workloads YOU'LL LEARN: - What defines the Lambda Architecture, broken down by each layer - How to simplify the Lambda Architecture by consolidating the speed layer and batch layer into one system - How to implement a scalable Lambda Architecture that accommodates streaming and immutable data - How companies like Comcast and Tapjoy use Lambda Architectures in production
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data, scalable, architecture, production
    
MemSQL
Published By: Microsoft Azure     Published Date: Apr 11, 2018
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center. Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management. Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models: Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking. Boun
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Microsoft Azure
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: MobileForce Software     Published Date: Nov 19, 2014
ESG is seeing a new focus on platforms designed to support both development and integration. The need to address integration is akin to the elephant in the room—everyone is aware of the situation but nobody has a good way to resolve it. The siloed heterogeneous environment that defines IT today needs a pragmatic approach to bringing together application integration and mobilization. However, the resolution to the integration problem cannot just be addressed from a data or messaging perspective. Context and process is needed to bind these systems together in a meaningful way.
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integration, enterprise application, mobilization, development, data, messaging perspective, platform
    
MobileForce Software
Published By: NetApp     Published Date: Apr 02, 2014
According to this global survey, in three years more than half of all IT services will be delivered via private, public and hybrid clouds. This study highlights the challenges faced by IT organizations as they move into a new role as “cloud brokers” and how a common data platform can help enable seamless data management across multiple clouds.
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netapp, software storage, sds, forrester, software defined storage, data center, performace, capacity requirements, data management
    
NetApp
Published By: NetApp     Published Date: Sep 19, 2017
SaaS vendors are using next-generation data center principles to revolutionize the way cloud-based software applications are delivered by applying a software-defined everything (SDx) strategy. This paper examines five key principles of the modern data center design that are accelerating business growth.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Nutanix, Inc.     Published Date: May 02, 2013
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance, scale and economics. meeting these requirements, however, often requires a complete rethinking of how data centers are designed and managed. Fortunately, many enterprise IT architects are leading cloud providers have already demonstrated the viability and the benefits of a more modern, software-defined data center. This Nutanix white paper examines eight fundamental steps leading to a more efficient, manageable and scalable data center.
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nutanix, data-centers, dynamic business demands, advanced technologies, it management, knowledge management, data management
    
Nutanix, Inc.
Published By: Nutanix, Inc.     Published Date: May 07, 2013
This report defines storage-centric virtualized infrastructure, its opportunity and use cases, and the emerging vendor landscape that IT infrastructure and operations groups should evaluate as they purse the software-defined data center.
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converged infrastrucutres, storage, virtualization, server, storage-centric, lun, modular expansion
    
Nutanix, Inc.
Published By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Oracle     Published Date: Sep 12, 2019
The following guide looks at 6 characteristics that define today’s most compelling commerce environments, and how the right mix of adaptive, intelligent solutions can optimize performance and ultimately be your most intelligent associate, 24 hours a day, 7 days a week, anywhere in the world. Amp Up the Power of Commerce with AI and Analytics Bring the Customer Journey Full Circle Tap into Heightened Data Security and Privacy in the Cloud
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Oracle
Published By: Oracle     Published Date: Apr 05, 2018
Effective collaboration between marketing and IT continues to be crucially important. As we enter an era where our business agility will be defined by the flexibility of operation of our marketing tools, technology in marketing is a key focus. Read ‘The guide to building your marketing technology stack’ to learn more about how technology can enhance every area of marketing: • Rediscover the technology in marketing landscape • Explore the latest in marketing automation • See how content and social fit into your overall strategy Oracle is a global technology company who provide a range of services, including the Oracle, the ‘industry’s broadest and most integrated public cloud’ which lowers costs and reduces IT complexity. They also offer IT security service, database, Java services, Enterprise Management, consulting and support services and more. Oracle have more than 420,000 customers worldwide and are widely revered throughout the computing industry.
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Oracle
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: Oracle APAC     Published Date: May 24, 2018
Enterprises are rapidly embracing cloud services to speed innovation and drive cost savings. The most innovative IT organizations in these enterprises are shifting to software-defined “virtual data centers” that connect, aggregate, and configure public and private computing resources in unprecedented ways. These IT organizations use open private cloud infrastructure within a corporate data center or at a hosting site (managed cloud services) in conjunction with public cloud services to meet all their business requirements.
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Oracle APAC
Published By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
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finance, investment, big data, cloud computing
    
Oracle EPM
Published By: Oracle Primavera     Published Date: Feb 10, 2015
Organizations with a strategy execution system are three times more likely to achieve success. Fortunately there are ways to improve your chance of producing relevant, executable strategy. In this executive brief, Harvard Professor Robert Kaplan provides practical advice on how to define strategic outcomes, measure your projects’ strategic success, and bind execution to strategy. He discusses project and portfolio management tools that can reach across the entire organization, capturing data on projects’ content, objectives, performance, and spending.
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oracle, integrating strategy, strategic projects, project management
    
Oracle Primavera
Published By: Polycom     Published Date: Jul 24, 2014
Consumers anoint—and abandon—providers with breathtaking speed, causing seismic shifts in the market. This new era of consumers is also increasingly difficult to define, no longer neatly fitting into traditional marketing segments. With the rise of emerging markets and micro-segments, manufacturing is confronting the challenge of mass customization. The question is not if or when but how: Customers are demanding variety, and manufacturing companies must deliver. What’s key to making this work? Big data visibility, flexible processes, and an agile ecosystem that can move swiftly to serve an increasingly fragmenting, but exceptionally demanding consumer base.
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polycom, digital, connectivity, manufacturing, marketing, customization, business technology
    
Polycom
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: Rackspace     Published Date: Mar 08, 2016
This whitepaper examines how businesses can leverage the benefits of a Microsoft Private Cloud, and taking advantage of the following functions: •Enabling self-service. •Federating your Microsoft® Cloud Platform •Taking advantage of software-defined networking. •Messaging services. •Database as a Service (DBaaS) and its advantages.
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microsoft private cloud, microsoft cloud platform, rackspace, self-service, software-defined networking, it management
    
Rackspace
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
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red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa, it management, data management
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
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red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa, it management, data management
    
Red Hat
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
    
Red Hat
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