data model

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Published By: IBM     Published Date: Oct 15, 2013
Addressing the dramatic inaccuracies associated with last-based campaign attribution in digital analytics
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web analytics demystified, inappropriate attribution models, marketing measurement systems, marketers dilemma, digital marketing, appropriate marketing, marketing attribution, digital analytics
    
IBM
Published By: Cisco     Published Date: Apr 10, 2015
Interest in cloud computing over the last several years has been phenomenal. For cloud providers, public or private, it will transform business and operational processes, streamlining customer on-ramping and time to market, facilitating innovation, providing cost efficiencies, and enabling the ability to scale resources on demand. Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).
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cisco, design, network architecture, mobile devices, best practices, vmdc, data center, cloud computing
    
Cisco
Published By: Cisco     Published Date: Sep 16, 2015
Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).
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applications, systems integration, cloud, development, monitoring, network management, network performance, data center design and management
    
Cisco
Published By: Cloudant, an IBM Company     Published Date: Nov 13, 2013
Great mobile apps should work well both on- and offline, and require a new way of thinking about data modeling for easy portability across devices telecom and otherwise. Download now to learn more.
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infrastructure, mobile data systems, smart phones, wireless infrastructure, database development, cloud computing
    
Cloudant, an IBM Company
Published By: Basho     Published Date: Apr 07, 2015
This whitepaper looks at why companies choose Riak over a relational database. We focus specifically on availability, scalability, and the key/value data model. Then we analyze the decision points that should be considered when choosing a non-relational solution and review data modeling, querying, and consistency guarantees. Finally, we end with simple patterns for building common applications in Riak using its key/value design, dealing with data conflicts that emerge in an eventually consistent system, and discuss multi-datacenter replication.
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basho, riak, relational database, nosql, common applications, simple deployments, it management, data management
    
Basho
Published By: Storiant     Published Date: Mar 16, 2015
This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model.
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storiant, data growth, data center, online data, data storage, storiant, big data, analytics implementations
    
Storiant
Published By: ASME - Formlabs     Published Date: Aug 28, 2019
Rapid prototyping helps companies turn ideas into realistic proofs of concept, advances these concepts to high-fidelity prototypes that look and work like final products, and guides products through a series of validation stages toward mass production. With rapid prototyping, designers and engineers can create prototypes directly from CAD data faster than ever before, and execute quick and frequent revisions of their designs based on real-world testing and feedback. Download this white paper to learn: How rapid prototyping fits into the product design process The applications of rapid prototyping from concept models to manufacturing An overview and comparison of 3D printing technologies for rapid prototyping: FDM vs. SLA vs. SLS
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ASME - Formlabs
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model
    
IBM
Published By: Cisco     Published Date: Jan 05, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Read more to learn how Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance.
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Cisco
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS, Inc.
Published By: Attivio     Published Date: Apr 07, 2010
In this paper, well known data management authority Mark Albala proposes replacing the reliance on data models as the fixed navigation scheme used for storing, reporting and analyzing information with a new unified information access capability that enables more agile, insightful and pro-active decisions.
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attivio, post-discovery intelligent application, analytic information delivery, business intelligence, enterprise applications, executive information systems, eis, business analytics
    
Attivio
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didnt sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas information evolution model
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle from data management to data exploration, model development and deployment.
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SAS
Published By: Cisco     Published Date: Jan 05, 2015
The four pillars of computing cloud, mobility, social, and analytics are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these ongoing challenges for enterprise IT and network managers.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise, it management, enterprise applications
    
Cisco
Published By: Cisco     Published Date: Jan 15, 2015
While this dramatic growth occurs, projections call for the cloud to account for nearly two-thirds of data center traffic and for cloud-based workloads to quadruple over traditional servers. That adds another element to the picture: changing traffic patterns. Under a cloud model, a university, for example, can build its network to handle average traffic volumes but then offload data on heavier trafficked days to a public cloud service when demand dictates, such as when its time to register for the next semester of classes.
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cloud, growth, traffic, projection, account, network, it management, enterprise applications
    
Cisco
Published By: AlienVault     Published Date: Oct 21, 2014
The state of threat intelligence in the information security community is still very immature. Many organizations are still combating threats in a reactive manner, only learning what they're dealing with, well...when they're dealing with it. There is a wealth of information in the community, and many organizations have been gathering data about attackers and trends for years. How can we share that information, and what kinds of intelligence are most valuable? In this presentation, we'll start with a brief overview of AlienVault's Open Threat Exchange (OTX), and then we'll discuss attack trends and techniques seen in enterprise networks today, with supporting data from AlienVault OTX. We'll also take a look at some new models for collaboration and improving the state of threat intelligence going forward.
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vulnerability, management, risk, prioritize, profile, environment, data, asset value
    
AlienVault
Published By: Aligned Data Centers     Published Date: Nov 16, 2016
With Aligned Data Centers, you are in control of your data center. The paper that follow explains how.
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data center, power, data center energy, power and cooling, data center management, servers, blade servers, storage virtualization
    
Aligned Data Centers
Published By: Cisco     Published Date: Jul 11, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance. Initially they deployed at AWS, but as the platform grew and their AWS costs increased, Tapjoy began to look for ways to better manage their growing public-cloud spend while increasing efficiency. They needed to do this without compromising the cloud experience they were giving their developers.
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Cisco
Published By: Oracle Corporation     Published Date: May 11, 2012
By using the Oracle Exadata Database Machine as your data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
    
Oracle Corporation
Published By: Rocket Fuel     Published Date: Mar 04, 2015
Remember back in the day when digital advertising was simple to understand? Like popping open the hood of a 1972 Ford, all the parts were simple and visible, and how they fit together was intuitive. It made sense. Now? Piecing together the modern digital advertising ecosystem is like trying to assemble a spaceship in your living room. But as Rocket Fuel Director of Artificial Intelligence Michael Benisch explains in our latest whitepaper, using advanced systems to buy media programmatically doesn't have to be overwhelming. Michael will take you "under the hood" of programmatic buying and walk you through the process of how and why a consumer sees the ads they see. Download the whitepaper and pop open the hood before choosing a programmatic partner.
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programmatic, programmatic partner, digital advertising, programmatic advertising, online advertising, ad platform, digital marketing, ad network
    
Rocket Fuel
Published By: AdRoll     Published Date: Oct 05, 2016
AdRoll looked in detail at the attribution strategies that agencies and brands across these markets are employing to find out how well they are leveraging their data to attract, convert and grow their customer base, as well as the challenges they face in integrating attribution into their marketing. From all of this AdRoll and Econsultancy deliver key insights and actionable insights which you can apply to your business in implementing or optimising attribution modeling.
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AdRoll
Published By: AdRoll     Published Date: Jul 11, 2017
Nothing is more top of mind for marketers than attribution. Its a complex topic, and there are lots of questions. Should you measure only the first click, or the last click? Should you also measure views? Should you combine view measurement with click measurement? How long should you wait to give credit to user activity? In this whitepaper, we examine the history of attribution models and dive deep into AdRoll platform data, third-party research, and advertiser survey data to make the case for marketers to adopt a blended attribution model, one that combines both ad views and clicks. Attribution is critical to marketing success because nothing has a bigger influence on evaluating results than how you measure the impact of your advertising. And in the digital paradigm, almost everything is measurable. When we surveyed our customers, we heard this point loud and clear. Of the 1,050 marketers we spoke to in our 2016 State of the Industry Report, 84% believe attribution is critical or ver
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attribution, adroll, performance marketing, advertising
    
AdRoll
Published By: Schneider Electric     Published Date: May 03, 2018
Before creating new technologies, we must think about how to create the right values to be also able to sell it. All the technology that is required for Industry 4.0 is available today already, so in fact Industry 4.0 can be seen more than an innovation driver for new businesses that are not exploited today, than an innovation driver for technology. If these existing technologies are assembled properly together and combined with the right business models, there is really good chance to profit from Industry 4.0. This white paper looks into the ways one can profit from Industry 4.0 by differentiating through new business models.
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smart machines, industry 4.0, smart factory, iiot, opc ua, data, analytics, machine services
    
Schneider Electric
Published By: IBM     Published Date: Dec 12, 2006
This white paper outlines the components of the Banking Data Warehouse (BDW) and how they assist financial institutions in addressing the data modeling and data consolidation issues relating to the SOX regulations.
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data warehousing, database warehousing, data consolidation, sarbanes oxley compliance, sox, compliance, banking, bdw
    
IBM
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