data model

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By: IBM     Published Date: Jul 17, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running
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     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 25, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
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     Group M_IBM Q418
By: Cisco     Published Date: Jul 11, 2016
If you need to deploy and scale applications faster to increase revenue, Cisco’s integrated infrastructure solutions can help you achieve your goals—and reduce risk. 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
By: Hewlett-Packard     Published Date: Aug 02, 2013
When rack-mounted servers first appeared on the scene in the 1990s, they offered considerable advantages over the behemoth boxes they replaced. Their small, standardized footprint went a long way toward making data centers easier to manage. In the ensuing decades, form factor size and compute power have had an inverse relationship. Their universal standardization earned them the nickname “pizza box” servers, and it was a key driver of the scale-out computing model popular in the early 2000s. Populating a rack of eight servers and either clustering them or implementing failover from one to the other was far easier than previously possible.
Tags : blade, servers, infrastructure
     Hewlett-Packard
By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
     IBM
By: Mentor Graphics     Published Date: Apr 03, 2009
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
Tags : mentor graphics, pdn simulation, eda framework, mentor hyperlynx 8.0 pi, integrity analysis, virtual prototypes, esr, capacitor, power distribution network, vrm, voltage regulator module, signal, smas, analog models, backward crosstalk, capacitive crosstalk, controlling crosstalk, correct emc problems, correct emi problems, cross talk
     Mentor Graphics
By: Mentor Graphics     Published Date: Apr 03, 2009
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
Tags : mentor graphics, equalized serial data links, design flow, high loss channels, tektronix, pcb, bit error rate, ber, ieee, serdes, simulation, system configuration, mentor graphics hyperlynx, simplified symmetric trapezoidal input, duty cycle distortion, ber contours, electronics, analog models, backward crosstalk, capacitive crosstalk
     Mentor Graphics
By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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     SAS
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
By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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     SAS
By: F5     Published Date: May 15, 2013
Elasticity is considered superior to traditional scalability because it attempts to exactly match resources to demand. Take a closer look at a ScaleN technology that offers a more efficient, elastic, and multi-tenant approach to meeting the challenges and demands of modern data center architectures. You’ll learn how elasticity can be achieved and how it offers multiple scalability models to better meet the sub-second failover and on-demand scalability required by modern business and IT organizations.
Tags : scalen, elastic infrastructure, technology, multi-tenant approach, over provisioning, it management, enterprise applications
     F5
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).
Tags : cisco, design, network architecture, mobile devices, best practices, vmdc, data center, cloud computing, iaas
     Cisco
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).
Tags : applications, systems integration, cloud, development
     Cisco
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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     Cloudant, an IBM Company
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.
Tags : basho, riak, relational database, nosql, common applications, simple deployments, it management, data management
     Basho
By: BlackBerry Cylance     Published Date: Sep 18, 2019
There will be a ransomware attack on businesses every 14 seconds by the end of 2019 . Every 40 seconds, one of those attacks will prove successful , with devastating effects ranging from permanent loss of irreplaceable data to life-threatening interruptions to patient care. In years past, expert malware authors packaged up their know-how into costly exploit kits sold on the underground market. Cyber criminals had to recover high upfront costs before launching a campaign and realizing a profit. Today, ransomware-as a-service groups like Satan make it easier than ever before for would-be cyber criminals with minimal technical skills to launch attacks, offering free ransomware toolkits and hands-on help to manage campaigns and extort payments. Read our white paper to learn how CylancePROTECT® prevents Petya, Goldeneye, WannaCry, Satan, and many more from executing, with machine learning models dating back to September 2015, long before the ransomware first appeared in the wild.
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     BlackBerry Cylance
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
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.
Tags : big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, data center
     IBM
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
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.
Tags : spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
     SPSS
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.
Tags : spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
     SPSS, Inc.
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.
Tags : attivio, post-discovery intelligent application, analytic information delivery, business intelligence, enterprise applications, executive information systems, eis
     Attivio
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 didn’t 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.
Tags : sas, organizational insights, operationalizing analytics, sas’ information evolution model
     SAS
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