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data model

Results 251 - 275 of 373Sort Results By: Published Date | Title | Company Name
Published By: SafeNet     Published Date: Jan 14, 2014
Most service providers’ Virtual Private Network (VPN) security delivers little more than a promise to keep each customer’s data separated across a shared infrastructure. What are the risks of this virtual security model and how can it go wrong? This technical paper is prepared from an interview with Senetas CTO Julian Fay, in which these topics are discussed and practical considerations given for using encryption on VPNs to enhance organizations’ data security.
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virtual private networks, virtual security, vpn, infrastructure, data, encryption, network, private network
    
SafeNet
Published By: VMTurbo     Published Date: Mar 25, 2015
An Intelligent Roadmap for Capacity Planning Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. These principles are based on a resource allocation model which takes the total amount of memory and CPU allocated to all virtual machines in a compute cluster, and assumes a defined level of over provisioning (e.g. 2:1, 4:1, 8:1, 12:1) in order to calculate the requirement for physical resources. Often managed in spreadsheets or simple databases, and augmented by simple alert-based monitoring tools, the resource allocation model does not account for actual resource consumption driven by each application workload running in the operational environment, and inherently corrodes the level of efficiency that can be driven from the underlying infrastructure.
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capacity planning, vmturbo, resource allocation model, cpu, cloud era, it management, enterprise applications
    
VMTurbo
Published By: Polycom     Published Date: Apr 30, 2013
Video conferencing is an increasingly important technology to improve employee and partner collaboration, especially for increasingly virtual organizations supporting rising numbers of mobile and home workers. But many companies still struggle to justify their investments in video conferencing, and not to understand potential cost differences among competing solutions - not just hardware and software expenses, but also investments required for bandwidth and operational support. Comparing various video conferencing solutions requires examining deployment models, licensing arrangements, network, hardware, and operational costs for leading video conferencing solution vendors in a variety of scenarios, using real-world data gathered from actual buyers of video conferencing products and services. The result: Significant differences in costs across all areas, especially for varying deployment models.
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total cost, video, video conferencing, collaboration, telecom
    
Polycom
Published By: NetApp     Published Date: Sep 24, 2014
41% of ESG research respondents reported that the cloud enabled them to realize IT cost reductions with 26% seeing improvements in productivity.  Learn how you can achieve these benefits by reviewing common IT scenarios detailed in private and hybrid cloud, data protection, BYOD and data movement use cases.
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data center, cloud, cost efficient, cloud delivery model, it costs, productivity improvement, enterprise applications
    
NetApp
Published By: NetApp     Published Date: Mar 11, 2015
To enable the data-driven enterprise, IT organizations are moving rapidly to a services-based cloud model. This white paper highlights the challenges of controlling data in hybrid as-a-service IT environments and suggests that data control in hybrid IT should be looked at as a framework rather than as a single effort.
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NetApp
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: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum? Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found: New customer segments open thanks to lower adoption and operating costs. With less complex infrastructure under SaaS, customer TCO drops. ISV products improve with value-added cloud services and SaaS data capabilities. Financial predictability improves with recurring revenue model. New pricing models aligns ISV value to customers’ business needs, driving increased revenue. Additional, significant operational benefits from switching to a SaaS model. Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs. The collection of product usage data increases the speed of product development by 33%. –
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Microsoft Azure
Published By: Qlik     Published Date: Jun 24, 2016
This paper outlines the benefits of a distributed model, and includes insights and case studies from leading executives.
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qlik, data, business data, business intelligence, distributed model
    
Qlik
Published By: CrowdStrike     Published Date: May 10, 2018
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
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CrowdStrike
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     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise forenterprise IT. Within the SDDC, the benefits of server virtualization areextended to storage and networking, so the entire infrastructure can beabstracted and centrally managed under a unified platform. IT teams areable to leverage unprecedented levels of virtualization, orchestration, andautomation to achieve the services-based delivery model that enables truedigital transformation.
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data center, networking
    
McAfee
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: Cisco and NVIDIA Corporation     Published Date: Apr 03, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: Cumulus Networks     Published Date: Dec 30, 2016
By the year 2018, it is expected that over 25% of enterprise customers will adopt web-scale networking to build modern data centers. This rapid adoption can be attributed to businesses' increasing dependence on their data centers, while at the same time facing reduced IT budgets and limited staff to address their growing business needs. Fill out the form to download a TCO report on how organizations have saved an average of 45% on CapEx and approximately 74% on OpEx by adopting web-scale networking solutions from Cumulus Networks. You’ll learn how Cumulus modeled a real-life TCO calculator on the actual production path their customers took to build an agile, scalable, and cost-efficient data center.
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Cumulus Networks
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
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.net, data direct, microsoft .net architecture, scaling, effective architectural design, virtual machine, intermediate language, component object model
    
DataDirect Technologies
Published By: Five9     Published Date: Apr 29, 2013
NJ 2-1-1 is a free phone number and online database that connects New Jersey residents quickly and effectively to community resources and emergency information. It is part of a growing national model that provides 190 million Americans in all 50 states.
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five9, cloud, cloud computing, cloud-based contact center, contact center software, hurricane sandy, networking, data center
    
Five9
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: Lumension     Published Date: Feb 07, 2014
Java vulnerabilities have dominated the security headlines. Some observers now say organizations should simply turn off the ubiquitous software platform. But what if there were a better way?
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lumension, java vulnerabilities, unpatched vulnerabilities, blacklist order, third-party software, endpoint devices, data-security solutions, web content
    
Lumension
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Some organizations are reluctant to migrate to the cloud because they believe they will be forced to learn new skills, start using new tools, and adopt new processes. However, by deploying VMware Cloud on AWS, your organization can continue to leverage existing, familiar VMware investments. This on-demand service delivers a powerful hybrid cloud solution, combining an industry leader in virtualization, VMware, with the largest cloud provider, Amazon Web Services (AWS). One of the first solution providers to achieve the VMware Solution Competency and a participant in the AWS Partner Initiative for VMware Cloud on AWS, RoundTower is uniquely qualified to help your organization adopt and optimize VMware Cloud on AWS. Watch this webinar to see how they can extend your on-premises data center to AWS, enabling you to gain increased flexibility, a rapidly scalable environment, and faster time to innovation. Download our webinar to learn How to take advantage of flexible consumption models t
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AWS
Published By: Mintigo     Published Date: Nov 20, 2017
Lead scoring models were put in place to prioritize leads for follow-up, nurture and marketing investment. However, with guesswork and data coming from disparate sources, traditional lead scoring has a host of limitations. In today’s competitive landscape, organizations needs to embrace more advanced and reliable scoring models to succeed. Read this ebook to learn 4 reasons why traditional lead scoring is not adequate, and why scoring with AI is necessary.
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Mintigo
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: IBM     Published Date: May 27, 2014
If insurers want to succeed in today's digital world, they need to create experiences and business models that are orchestrated, symbiotic, contextual and cognitive.
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ibm, big data, insurance, digital insurer, business model, insurance industry, technology, integration
    
IBM
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