data model

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Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"IT needs to reach beyond the traditional data center and the public cloud to form and manage a hybrid connected system stretching from the edge to the cloud, wherever the cloud may be. We believe this is leading to a new period of disruption and development that will require organizations to rethink and modernize their infrastructure more comprehensively than they have in the past. Hybrid cloud and hybrid cloud management will be the key pillars of this next wave of digital transformation – which is on its way much sooner than many have so far predicted. They have an important role to play as part of a deliberate and proactive cloud strategy, and are essential if the full benefits of moving over to a cloud model are to be fully realized."
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Hewlett Packard Enterprise
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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Domino Data Lab
Published By: TARGUSinfo.     Published Date: May 20, 2010
The arrival of 3rd party data is changing the landscape of online targeting. There is an influx of companies offering these services. But, what works with your business model? How do you evaluate the options? THE QUESTIONS YOU NEED TO KNOW AND WHY: • Is there high fidelity data? • Is the provided data stable? • Is your partner built to last? • Does your partner use a transparent methodology? Download our guide to evaluating data providers and find out the importance and relevance of these terms and conditions.
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targus info
    
TARGUSinfo.
Published By: HERE Technologies     Published Date: Jan 22, 2019
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data. Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects. This case study details how HERE Technologies enabled the City of Toronto’s transportation team to: Work smarter with comprehensive network coverage and accurate data to aid analysis Examine the impact of city projects without significant forward planning or expenditure Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
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public sector, urbanization, traffic management
    
HERE Technologies
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Most IT professionals today recognize that enterprise IT will be hybrid in the future. To provide the optimal foundation for each workload being deployed, the hybrid IT environment will include cloud-based infrastructures—from multiple providers—co-existing alongside infrastructure within the enterprise data center or a hosted environment. But not all hyperconverged solutions yield the same results. The right hyperconverged infrastructure can meet your IT needs both today and well into the future. In this paper, we will talk about where your data center needs to be in the next five years to meet changing business demands, and how the roles of IT professionals will evolve. We will also review “hyperconvergence” models, and how they can best meet your IT needs both today and in the future, as well as the benefits you can expect along the way. Finally, we discuss what to look for in the right hyperconverged provider, who will position your IT department for success.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: Cisco     Published Date: Sep 15, 2015
Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
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ucs, unified computing system, infrastructure, enterprise, it barriers, it management, enterprise applications
    
Cisco
Published By: Cisco     Published Date: Jun 21, 2016
Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System (Cisco UCS) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
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Cisco
Published By: Epicor     Published Date: Sep 20, 2017
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow. Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this SmartBite for a quick look at the report’s highlights.
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Epicor
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle CX
Published By: Dell and Nutanix     Published Date: Oct 26, 2017
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented.
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Dell and Nutanix
Published By: Dell EMC     Published Date: Aug 17, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: T Systems     Published Date: Nov 28, 2018
The wait is over. Here at T-Systems, we are proud to present the findings of CXP Group - a leading independent European research and advisory firm in the field of digital, software and IT services. Their new “Digital Industrial Transformation with the Internet of Things” report examines the dynamic range of opportunities that IoT holds for businesses and explores the challenges of integrating existing data processes with those that are IoT enabled. The report is the result of the feedback cultivated from interviews with senior business and IT decision-makers responsible for creating and running innovation strategies at 250 large-scale European manufacturers. The data has been disseminated by region, strategies, pain points, IoT adoption, intention, investment etc. and provides readers with a detailed examination of what industrial businesses look for most from IoT. The report provides a fascinating unearthing of influencing factors for IoT readiness and digitization as a whole. Using
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industrial manufacture, iot, internet of things, iot adoption, european, digitization, digitization strategy, value chains, service providers, consultation, supply chain management, operational technology, data analytics, new business models
    
T Systems
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue, media promotions, measurable influence, maturity level, data management, data center design and management, data center
    
Collaborative Consulting
Published By: Dell EMC     Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their only option, since many don’t have the capital or expertise to build and operate the IT systems their businesses need. Existing companies with established data centers are also looking at public clouds, to increase IT agility while limiting risk. The idea of building-out their production capacity while possibly reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And like most infrastructure decisions the question of cost is certainly a consideration. In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
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public cloud, it systems, data center, it agility, hyperconverged solution, hyperconverged appliance
    
Dell EMC
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: Red Hat     Published Date: Jan 08, 2014
Cloud adoption is an evolutionary process that has been leading to hybrid clouds—specifically, open hybrid clouds that provide for portability of applications and data. This new model means avoiding new points of proprietary lock-in and new silos, and breaking from proprietary software and hardware.
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red hat, cloud, cloud infrastructure, workload, infrastructure as a service, iaas, cloud workload, integration, hybrid workload, virtualization, openstack, application performance, it management, platforms, storage virtualization, cloud computing, infrastructure
    
Red Hat
Published By: Pega     Published Date: Aug 12, 2016
Digital transformation has fundamentally disrupted global manufacturing. It’s not just a single technological advancement; it’s a full range of emerging technologies that are revolutionizing the industry. Social, mobile, Big Data, analytics, cloud, and the Internet of Things are re-defining every organization’s operating models. Within the next decade, many manufacturers will find themselves managing operations that are virtually unrecognizable from the past century.
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pega, mobil, big data, analytics, cloud
    
Pega
Published By: VMware     Published Date: Oct 05, 2015
Most data center security emphasizes strong perimeter defense to keep threats on the outside. But this model is ineffective against today’s new types of threats, which may be borne by east-west traffic inside your data center. Some of these intrusions may lurk for days, weeks, or months to discover and exploit vulnerabilities. An existing concept called micro-segmentation is the solution. But until now, it was hardware-intensive and costly. In this solution overview, you’ll learn why micro-segmentation is now within your organization’s reach. Get your free copy now.
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vmware, data center security, data center, micro segmentation, micro segmentation solution, security, data protection, database security
    
VMware
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