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Published By: Riverbed     Published Date: Jul 15, 2014
Organizations have gained significant benefit from virtualizing servers and storage environments, and now face the daunting task of deploying new network architectures to keep pace. Software-defined networking holds significant promise to deliver a new network architecture that is abstracted and virtualized; however, organizations would be well served to learn from previous efforts to virtualize other domains in order to avoid making the same mistakes. Riverbed and VMware joined forces to help eliminate those problems and make it easier to deploy VXLAN overlay networks in highly virtualized data centers by integrating application-aware network performance management software and vSphere 5.1
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performance, management, software, networks, virtualizing servers, storage
    
Riverbed
Published By: Riverbed     Published Date: Sep 05, 2014
Organizations have gained significant benefit from virtualizing servers and storage environments, and now face the daunting task of deploying new network architectures to keep pace. Software-defined networking holds significant promise to deliver a new network architecture that is abstracted and virtualized; however, organizations would be well served to learn from previous efforts to virtualize other domains in order to avoid making the same mistakes. Riverbed and VMware joined forces to help eliminate those problems and make it easier to deploy VXLAN overlay networks in highly virtualized data centers by integrating application-aware network performance management software and vSphere 5.1.
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performance management, networking, software, virtualization, architecture, servers
    
Riverbed
Published By: Riverbed DE     Published Date: Oct 16, 2017
What is the key benefit of SD-WAN? To provide seamless access to digital services for end-users. But IT is more distributed, fragmentary, and dynamic than ever, with hybrid apps, hybrid networks, and remote and mobile users everywhere. Hardware-bound legacy networks can never fulfill the promise of seamless access. Taming the chaos of today’s IT requires a new approach to networking. This is the promise of software-defined wide area networks (SD-WAN)—the ability to use plain-language business policies to automate and orchestrate all the components of digital access. Read this white paper to learn how SD-WAN lets you: • Manage centrally from a cloud console with a comprehensive view of your connectivity fabric that spans and unifies datacenter/cloud apps, branch/mobile users, and enterprise/cloud networks. • Orchestrate globally using business policy-based automation to define quality of service and access privileges for all apps/users. • Deploy locally with zero touch via automated
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Riverbed DE
Published By: Safe Software     Published Date: Aug 21, 2009
This paper defines the function of spatial ETL and expands the role and impact it has with spatial data processes and GIS systems.
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spatial, geographic information system, geographic information systems, geological, information management, data processing, database, data transfer, safe, safe software
    
Safe Software
Published By: Safe Software     Published Date: Aug 21, 2009
One of the most powerful aspects of GML is the freedom it gives users to define their own custom application schemas. While this capability provides extraordinary flexibility to data modellers, it also creates significant challenges, particularly when the data is interpreted.
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spatial, geographic information system, geographic information systems, geological, geography, information management, data processing, database, data transfer, safe, safe software
    
Safe Software
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAS     Published Date: Apr 25, 2017
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought. To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
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SAS
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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SAS
Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS
Published By: Silver Peak     Published Date: Oct 28, 2013
GigaOM’s research analyst Mark Leary and Silver Peak’s virtualization and cloud expert, Vivian Xu, discuss the benefits of a SDN (Software-Defined Network). See how industry leaders are leveraging SDN principles to that overcome the challenges of moving data across distance and create more flexibility.
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silver peak, network, infrastructure, sdn strategy, software defined network, sdn
    
Silver Peak
Published By: Silver Peak     Published Date: Apr 18, 2014
Gartner has published its latest Magic Quadrant for WAN Optimization. Be among the first to get complimentary access to this new report now! Silver Peak is leading the way into a new era of software-defined WAN optimization. Now more than ever, organizations like yours depend on the wide area network to connect their data centers, branch offices and the cloud. They see that better network performance means better bottom-line results, and Silver Peak gives them the most comprehensive and flexible options for network acceleration, and the most innovative approach to the next-generation WAN.
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wan optimization, silver peak, gartner, software-defined, wide area network, data centers, next-generation wan, netowork acceleration, cloud, cloud computing, magic quadrant, networking, business technology
    
Silver Peak
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: Sponsored by HP and Intel®     Published Date: Nov 14, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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data centers, data storage, tier one, virtualization, storage tiers, storage, data management
    
Sponsored by HP and Intel®
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Nov 20, 2012
Redefine Expectations in the Data Center
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intel, gen8, computer world, servers, data centers, video, free video, business technology
    
Sponsored by HP and Intel® Xeon® processors
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Aug 16, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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Sponsored by HP and Intel® Xeon® processors
Published By: SRC,LLC     Published Date: Jun 01, 2009
We work in an ever-changing landscape of competitors, market forces, customer relationships, partner alliances, political and regulatory pressures, and global climate effects. The common mechanism for coping effectively with change is to refer to canned reports and dashboards, dump reporting data into a spreadsheet and look for answers to today's questions. All too often, we have to rely on estimates rather than models, and gut feel rather than data, because we can't get answers in a timely fashion. Yet we know that the answers lie hidden in the morass of corporate data.
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business intelligence, src, capabilities, unified enterprise, spatial intelligence, alteryx, oracle, netezza, teradata, gui, ford, experian, sql
    
SRC,LLC
Published By: TeamQuest     Published Date: Apr 09, 2014
Your customers rely on you to efficiently manage a highly dynamic, rapidly changing, highly shared, distributed environment so they can do their jobs effectively. This means working through the complexities of understanding the services in your virtualized networks, machines and storage, and determining how and when customers will be affected. Listen to virtualization expert Bernd Harzog discuss the complexities that many IT professionals face.
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teamquest, virtualization, it professionals, optimize software, distributed environment, data center, performance, data management
    
TeamQuest
Published By: TeamQuest     Published Date: Sep 05, 2014
Today's IT must continuously operate at the center of business performance and IT efficiency. One way to make that happen is by optimizing the software defined data center. Understand how organizations can effectively manage today's complex environments and improve business benefits in this TeamQuest sponsored Webinar.
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business performance
    
TeamQuest
Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software
Published By: Veeam '18     Published Date: May 01, 2019
VMware Cloud su Amazon Web Services (AWS) č un servizio on-demand che ti consente di eseguire applicazioni in ambienti cloud basati su vSphere con l’accesso a un’ampia gamma di servizi AWS. Supportato dalla VMware Cloud Foundation, questo servizio integra vSphere, vSAN e NSX insieme alla gestione di VMware vCenter ed č ottimizzato per l’esecuzione su un’infrastruttura AWS, dedicata, elastica e bare metal. Grazie a VMware Cloud su AWS, i team IT possono gestire le risorse basate sul cloud con strumenti VMware a loro familiari. Questa panoramica della soluzione offre una descrizione di come il supporto Veeam su AWS consente ai clienti di accelerare l’adozione delle implementazioni di cloud ibrido con la possibilitŕ di copiare, replicare o migrare i carichi di lavoro sul cloud AWS in modo semplice ed efficiente e sfruttare gli investimenti esistenti nelle tecnologie Software-Defined Data Center (SDDC) di VMware.
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Veeam '18
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