design

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Published By: ARMA     Published Date: Nov 04, 2014
The relationship between an organization's information-handling practices and the impact those practices have on its ability to respond to electronic discovery is recognized in the Electronic Discovery Reference Model (EDRM). But the EDRM falls short of describing standards or best practices that can be applied to the complex issues surrounding the creation, management, and governance of electronic information. ARMA International's Generally Accepted Record-keeping Principles and its information Governance Maturity Model are designed specifically to provide a scalable, broadly applicable framework to address these issues.
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information-handling practices, edrm, electronic discovery, maturity model
    
ARMA
Published By: Arrow Electronics     Published Date: Oct 28, 2015
The Internet of Things enables a level of communication, collaboration and interaction between devices, sensors, machines and people that has never before been possible. This connectivity is what is called an intelligent system, and it’s revolutionizing the way we think about edge products.
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Arrow Electronics
Published By: Ascentis     Published Date: Sep 28, 2010
HRIS solutions designed for very large organizations can be costly to set up and maintain, and often require the services of an army of consultants to keep them operational. Systems designed for very small organizations concentrate on either HR functions such as attendance and compensation, or on benefits management, but usually lack the ability to integrate the two areas. To be a practical investment choice for a mid-tier organization, a satisfactory HRIS solution must have its HR and benefits functions highly integrated. It must be agile so it can easily be kept aligned with the constant change in compliance laws, and it must be robust and secure, built on a tried and true platform foundation.
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ascentis, open enrollment, benefits, automation, accuracy, self-service, human resources, errors, hris, insurance, hipaa, e-sign act, automated
    
Ascentis
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: ASME - Protolabs     Published Date: Aug 28, 2019
Over the past three decades, 3D printing has developed a reputation as an essential manufacturing process for prototype parts. Create a CAD model of your design, send it to your company’s printer, and a 3D replica will be ready in hours. Yet these parts are often little more than conceptual show-and-tell models, not durable enough for long-term use, and in some cases prone to degradation by sunlight. The winds of manufacturing are beginning to shift, however, and industrial-grade 3D printing, or additive manufacturing, is now encroaching on machining, injection molding, and other conventional manufacturing processes. This white paper explores the new and existing technology leaders in this area, and assesses the capabilities of production for each 3D printing process. Download your copy today!
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ASME - Protolabs
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA
Published By: Asurint     Published Date: Dec 21, 2018
Employers may ask a consumer reporting agency (CRA) to implement internal systems to evaluate background checks as part of the hiring process. An adjudication matrix (also known as a hiring matrix) is commonly used by employers to designate what types of crimes over certain time periods may make an individual ineligible for employment. An adjudication matrix will typically contain labels such as “clear” or “ineligible” that designate how the individual’s background check results lined up with the matrix.
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Asurint
Published By: AT&T     Published Date: Jun 25, 2008
Class of Service (CoS) functionality can help optimize network performance. For a successful deployment, network designers should identify all applications, understand requirements associated with each application, designate appropriate mapping for groups of applications and provide mechanisms in the underlying network to deliver CoS. CoS mapping and deployment are important; adhering to tested strategies and avoiding common misconceptions helps IT managers advance optimization across the wide area network.
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class of service, service management, traffic management, bandwidth, at&t, att, network performance management
    
AT&T
Published By: AT&T     Published Date: Jun 30, 2008
A leader in its industry, adidas America recognized that it could increase its sales potential by automating many components of the sales process. Tim Oligmueller, sales force automation manager for adidas America, wanted to reduce the number of calls from sales representatives in the field to check on product availability, enabling them to capture "at-once" business and show customers that the company is on the cutting edge not only in footwear and apparel design, but also in customer service.
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sales force automation, salesforce automation, salesforce, blackberry, sales automation, business analytics, inventory, inventory management, wireless, mobile workforce, mobile sales force, outside sales, at&t, att, at&t wireless
    
AT&T
Published By: athenahealth     Published Date: Apr 30, 2013
Traditional EMRs consistently fail to help physicians make more money, do less work, and deliver better care. High up-front fees with traditional EMRs are one factor, but the greatest problem with traditional EMRs is that they are designed without an understanding of the fundamental economics of a patient encounter.
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patient workflow, ehr, physician, meaningful use, analytics, data
    
athenahealth
Published By: Attunity     Published Date: Feb 12, 2019
How can enterprises overcome the issues that come with traditional data warehousing? Despite the business value that data warehouses can deliver, too often they fall short of expectations. They take too long to deliver, cost too much to build and maintain, and cannot keep pace with changing business requirements. If this all rings a bell, check out Attunity’s knowledge brief on data warehouse automation with Attunity Compose. The solution automates the design, build, and deployment of data warehouses, data marts and data hubs, enabling more agile and responsive operation. The automation reduces time-consuming manual coding, and error-prone repetitive tasks. Read the knowledge brief to learn more about your options.
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dwa, data warehouse automation, etl development, extract transform load tools, etl tools, data warehouse, data marts, data hubs data warehouse lifecycle, data integration, change management, data migration, consolidating data, cloud data warehousing, data warehouse design, attunity compose
    
Attunity
Published By: Autodesk     Published Date: May 22, 2017
The future of making things is here, and it is complex. Engineering leaders are under constant and growing pressure to find more innovative solutions for increasingly demanding customers in the context of an extremely competitive global market.
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additive manufacturing, generative design, simulation, high-speed manufacturing, smart manufacturing, enhanced customization, innovation, rapid prototyping, sustainable operation, cam, high-speed machining, tooling, job shop
    
Autodesk
Published By: Autodesk     Published Date: May 22, 2017
Industrial applications of additive manufacturing are expanding across many industries, driven by rapidly improving capabilities and economics
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additive manufacturing, generative design, simulation, high-speed manufacturing, smart manufacturing, enhanced customization, innovation, rapid prototyping, sustainable operation, cam, high-speed machining, tooling, job shop
    
Autodesk
Published By: Aventail     Published Date: Aug 21, 2009
The SSL VPN Technical Primer explains how SSL VPNs work, and includes an objective comparison of the distinguishing factors between IPSec and SSL VPN technologies. You'll learn why these two technologies, based on fundamentally different designs and methodologies, each serve specific use cases best.
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ssl, vpn, ssl vpn, comparison table, comparison guide, comparison chart, ipsec, ipsec vpn, aventail
    
Aventail
Published By: Aventri     Published Date: Aug 14, 2018
"Revenue focused executives have four metrics that determine their success or failure: number of opportunities, size of opportunities, win rate, and speed to revenue. All teams work together to make sure that they achieve these goals and that they have the processes in place to optimize around them. Event management software is one piece of the puzzle that is designed to generate revenue. Read this eBook to see how event management software helps to speed up the buying process and win more deals!"
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Aventri
Published By: Aventri     Published Date: Apr 29, 2019
"Revenue focused executives have four metrics that determine their success or failure: number of opportunities, size of opportunities, win rate, and speed to revenue. All teams work together to make sure that they achieve these goals and that they have the processes in place to optimize around them. Event management software is one piece of the puzzle that is designed to generate revenue. Read this eBook to see how event management software helps to speed up the buying process and win more deals!"
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Aventri
Published By: Aviatrix     Published Date: Jun 11, 2018
Once you've designed and secured your Global Transit Network, are you done? Are you ready to hand day-to-day responsibility over to an operations team? Or, are there other elements you need to ensure that the day-to-day operation of your transit hub is efficient and effective? As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, demonstrate the best practices they've gleaned from working with operations teams, all who require: • Visibility: Do you have a way to centrally view your network, see performance bottlenecks, control security policies, and set other configuration details? • Deep Analytics: Can you easily gather performance and audit data and export it to Splunk, DataDog, or other advanced reporting tools? • Monitoring and Troubleshooting: Do you have a real-time view of network health, and how easily can you access the data needed to locate and fix issues? • Alert Management: When issues do occur, what r
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aws, aws vpc, aws global transit network, aws transit vpc, cisco csr, csr 1000v
    
Aviatrix
Published By: Aviatrix     Published Date: Jun 11, 2018
Join Aviatrix for a discussion of next-generation transit hubs that are purpose-built to treat the network as code, rather than as a virtualized instance of a data center router. Learn how a software-defined approach can transform your AWS transit hub design from a legacy architecture exercise into a strategic infrastructure initiative that doesn’t require you to descend into the command-line interface and BGP of the IT networking world. As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix share the requirements that our most successful customers have insisted upon for their Global Transit Networks, and demonstrate the key features that deliver on those requirements. Who Should Watch? Anyone responsible for connectivity of cloud resources, including cloud architects, cloud infrastructure managers, cloud engineers, and networking staff.
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aws, aws vpc, aws global transit network, aws transit vpc, cisco csr, csr 1000v
    
Aviatrix
Published By: Avocent     Published Date: Aug 22, 2011
Cloud computing implementations have the potential to drive significant improvements in operational efficiency and reductions in operational expenditures.
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avocent, cloud computing, infrastructure, emat, responsible cloud, high-availability, nist
    
Avocent
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS
Published By: AWS     Published Date: Nov 07, 2018
To best support global users and customers, enterprises require seamlessly connectivity between branch office locations, applications, and workloads hosted in the cloud. Many WAN solutions are ill-equipped for this task because they are generally rigid, complex to configure, and expensive to maintain. IoT adoption, a dramatic increase of the number of network devices, and the sophistication of security threats further compounds this challenge. Geographically-distributed devices need secure cloud connectivity, limiting the ability of existing WAN solutions to fulfill the need of distributed organizations. Cisco SD-WAN on Amazon Web Services (AWS) is an overlay WAN architecture that is designed to address modern enterprise cloud applications and workloads, heterogeneous WAN connectivity, distributed global workforces, and other business needs that traditional WAN solutions cannot meet. Learn more by downloading this solution brief. Join our webinar to learn -How to migrate a data ce
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AWS
Published By: AWS     Published Date: Dec 19, 2018
Migrations to the cloud sometimes face difficulties in transitioning apps, operational inconsistencies, and incongruent networks. VMware Cloud on AWS is an on-demand hybrid cloud service designed to preserve existing investments and legacy applications, while reaping the rewards of cloud scalability and flexibility. But what are the right use cases for VMware Cloud on AWS, and how do you best approach this new solution? Download our webinar to find answers to both questions, and to see specific use cases like migration, disaster recovery, and M&A integration. Download our webinar to learn How to prepare and validate your environment for integration The right circumstances for and expected benefits of deploying VMware Cloud on AWS The value of deploying a right-sized VMware Cloud on AWS environment based on your application needs
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AWS
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