data manager

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Published By: Adobe     Published Date: Feb 08, 2016
Read the new Forrester Wave: Data Management Platforms, Q4 2015 report to learn how Adobe Audience Manager can help you bridge the worlds of Ad and Marketing tech.
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adobe, marketing, data, data management, dmp, forrester, forrester wave, emerging marketing, internet marketing, crm & customer care
    
Adobe
Published By: Adobe     Published Date: Jun 26, 2019
The fight for customer attention is a daily struggle, but it doesn’t have to be. With a data management platform (DMP), you can be confident that the experiences you deliver are the ones your customers want and expect. Learn: o What a DMP can do for you o The three functions of a DMP o How Adobe Audience Manager can help
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Adobe
Published By: Adobe     Published Date: Sep 12, 2017
Read the Forrester Wave: Data Management Platforms to see why Adobe Audience Manager is recognized for consistency and category leadership. Forrester states, "Adobe is a smart choice for marketers focused on extending control across channels."
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Adobe
Published By: Adobe     Published Date: Nov 09, 2017
Robust Data Management Platforms drive intimate customer experiences. You know the importance of identifying your best customer segments and treating them right. You also know that takes a ton of work. But it’s work that we can help you accomplish with our integrated and secure Data Management Platform (DMP). By using Adobe Audience Manager, our DMP offering, you'll aggregate data from all your sources to better understand your current customer segments, while we also help you identify new audiences to target. The new Forrester Wave™: Data Management Platforms, Q2 2017 says “Adobe was a DMP Forrester Wave leader in 2013 and 2015, and continues to set the pace in this Forrester Wave.” See where we receive the highest scores and why we are named a Leader in this report.
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Adobe
Published By: ADP     Published Date: Jun 01, 2018
Too remedial. Too retrospective. Too static. Too irrelevant to the team leader. Too time-consuming. Such are the complaints heard repeatedly about Performance Management and Engagement systems. And these don’t even touch on the biggest problem of all: current systems produce a tidal wave of unreliable data. The ratings they yield are based on the notion that, with enough time and training, managers (and peers) can become reliable raters of other people’s skills and competencies. Sadly, that’s not true. A large body of research reveals: 61% of your manager’s rating of you is a reflection of the manager, not of you. Your organization, apparently unaware of this, then persists on paying you, training you, and promoting you—and everyone else in the organization—based on these flawed ratings.
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ADP
Published By: Alacritech     Published Date: Aug 21, 2009
Customers are increasingly constrained by large transfers of data backup, long backup times to storage devices, and less efficient use of server resources as a result. System and database availability is heavily impacted during backup periods, and with the rapid growth of storage and the need to archive customer data, IT managers are actively seeking solutions for their backup problems.
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data backup, backup and recovery, storage, database availability, backup, recovery, servers, backup server, backup servers, data transfer, alacritech
    
Alacritech
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.
Published By: APC by Schneider Electric     Published Date: Feb 09, 2011
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
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absolute, data protection, maitenance, ups, physical infrastructure, infrastructure, data loss protection, dlp, ponemon, it security, sensitive data
    
APC by Schneider Electric
Published By: Arcserve     Published Date: Jul 26, 2010
Using the CA Wily Application Performance Management (APM) solution consisting of CA Wily Introscope® and CA Wily Customer Experience Manager™, JN Data better manages Web applications through faster diagnosis of problem root causes in its customers' heterogeneous environments.
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ca technologies, jn data, web application management, ca wily, application performance management, apm, customer experience manager, virtual server network, application development time
    
Arcserve
Published By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
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optimize customer service
    
Attunity
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: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: Bocada     Published Date: Aug 21, 2009
This white paper focuses on Sarbanes-Oxley Act (SOX) regulations relevant to data protection, and describes both best practices and automated tools used by today's leading storage managers and backup/recovery teams to meet the mandates of SOX.
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sarbanes oxley act, sarbanes oxley, sarbox, sox, sox compliance, compliance, financial, finance, auditing, security audit, audit, sox audit, data protection, storage management, bocada, bocata
    
Bocada
Published By: CA Technologies     Published Date: Sep 13, 2017
"There's new legislation in place, that's expanded the definition of personal data and puts IT and testing departments on high alert to safeguard personal data, across testing and development environments. It's the General Data Protection Regulation (GDPR). Are you ready for it? In this session, we’ll demonstrate how CA Test Data Manager helps to both mask your production data and to generate synthetic test data; a powerful combination to help you meet compliance needs and deliver quality applications. There will be a short section on the future of the tester self-service model that will enable testers to efficiently get access to the right test data."
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CA Technologies
Published By: CA Technologies     Published Date: Jun 01, 2018
Within any organization, the most dangerous users are those with privileged access to the company’s most valuable and sensitive data assets. This includes systems administrators, business managers, partners, suppliers, and service providers, and also takes into account the automated interactions between business machines, systems, and applications. Privileged access has always been a high-risk issue, but for too long, organizations have not understood or have chosen to ignore the risks, preferring instead to rely on the integrity of the individuals and systems involved. A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solution
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CA Technologies
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Over the last several years CA Technologies has acquired a number of companies and their respective products, to augment its continuous delivery suite and, especially, its DevTest portfolio. In particular, it has recently acquired Grid-Tools and Rally Software. Bloor Research has been asked to explore how Grid Tools’ products – now known as CA Test Data Manager (formerly Datamaker and CA Datafinder) and CA Agile Requirements Designer (formerly Agile Designer) expand and augment the capabilities provided by CA Service Virtualization (previously iTKO’s LISA) and CA Agile Central (formerly Rally), making the whole greater than the sum of the parts.
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technology, business value, ict investments, research services, consultancy projects, bloor research, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
CA’s portfolio is designed to drive efficiency from planning through production. A core component of our continuous delivery portfolio is CA Release Automation, a market-leading application release automation solution that delivers full application deployment automation and release coordination across stages, environments and teams. The solution’s analytic capabilities enable DevOps teams to plan, manage, analyze and optimize the continuous delivery pipeline from a single control point. In addition, the portfolio includes CA Agile Central, CA Agile Requirements Designer, CA Service Virtualization and CA Test Data Manager. We continue to invest in and enhance the portfolio, most recently via the acquisition of BlazeMeter, an innovative, SaaS-based performance and load-testing solution.
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digital experience, mobile applications, business success, innovations, market, risk and cost, software development, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem, sdlc, mttr
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.
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virtual services, data, avoid project delays, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 23, 2017
C’est l’un des changements majeurs de ces 20 dernières années au niveau de la protection de la vie privée dans le domaine numérique. Le Règlement général de l’UE sur la protection des données (RGPD) introduira, en mai 2018, des amendes d’un montant pouvant atteindre jusqu’à 20 millions d’euros en cas de non-conformité.
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rgpd, gdpr, conformité, compliance, data testing, test data management, ca test data manager
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 23, 2017
Pour dynamiser le marché ou rester compétitives, les entreprises doivent livrer leurs produits logiciels plus rapidement que jamais. Les méthodes traditionnelles d’assurance qualité ne sont cependant pas en mesure de supporter cette cadence soutenue. Bien qu’ils aient aidé les organisations à améliorer la qualité du code, les mécanismes d’intégration continue ne prennent pas en charge les tests de bout en bout à l’échelle du cycle de vie du code.
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continuous testing, déploiement automatique, livraison continue, test, assurance qualité, développement, qualité du code, test, ca test data manager
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 23, 2017
Dans les organisations agiles d’aujourd’hui, les équipes de production se trouvent face à un défi de taille : déployer en production les nouvelles versions immédiatement après les phases de développement et de test. Pour assurer la réussite d’un tel déploiement, il est nécessaire de mettre en œuvre un processus automatique et transparent. ce processus, nous l’avons baptisé Zero Touch Deployment™. cet article examine deux approches du Zero Touch Deployment : une solution basée sur les scripts et une plate-forme d’automatisation de la mise en production. Il indique comment chacune de ces approches peut résoudre les principaux défis technologiques et organisationnels face auxquels se trouvent les organisations agiles lorsqu’elles décident d’implémenter un système de déploiement automatique. cet article commence par retracer le contexte commercial et technologique qui pousse les organisations agiles à se tourner vers des solutions d’automatisation du déploiement.
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zero touch deployment, continuous testing, déploiement automatique, livraison continue, test, assurance qualité, développement, qualité du code, test, ca test data manager
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 23, 2017
Pour pouvoir réellement mettre en œuvre une approche de livraison continue, les organisations doivent entièrement repenser la façon de mener leur processus d’assurance qualité (QA). Cela passe notamment par redéfinir le rôle que les professionnels d’assurance qualité jouent au sein de l’organisation, automatiser le plus possible à chaque niveau et revoir entièrement les structures de test, pour prendre en charge des versions logicielles plus légères et plus rapides.
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continuous testing, déploiement automatique, livraison continue, test, assurance qualité, développement, qualité du code, test, ca test data manager
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 23, 2017
Faites passer rapidement vos idées du stade de la conception au stade du développement, sans sacrifier la qualité, grâce à un écosystème de livraison continue de bout en bout capable de mettre en œuvre des tests rigoureux selon la fonctionnalité utilisateur souhaitée.
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continuous testing, déploiement automatique, livraison continue, test, assurance qualité, développement, qualité du code, test, ca test data manager
    
CA Technologies EMEA
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