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By: Adobe     Published Date: Sep 19, 2013
Earning top rankings in both strategy and market presence, Adobe AudienceManager was named a leader in data management platforms in the Forrester Wave™: Data Management Platforms report for Q3 2013.
Tags : adobe, media optimizer, data management, platforms, technology, audience delivery, marketing, web analytics
     Adobe
By: Adobe     Published Date: Nov 07, 2013
Today’s leading DMPs are ingesting a wide range of owned and licensed data streams for insights and segmentation and are pushing data into a growing number of external targeting platforms, helping marketers deliver more relevant and consistent marketing communications.
Tags : adobe, the forrester wave, forrester dmp wave, audience management, data management platforms, multi-touchpoint targeting, multi-touchpoint execution, dmp vendor offerings
     Adobe
By: Akamai Technologies     Published Date: Aug 17, 2017
The rapid rate of mobile adoption provides today’s users with nearly unlimited access to data and information anytime, anywhere. While “always on” users represent a tremendous opportunity for businesses to increase engagement, revenue, and customer loyalty, they also create unprecedented mobile delivery challenges. In this e-book, we will delve into these challenges and learn how to master them by optimizing for fast APIs, mobile apps, and mobile sites. But before we do that, let’s start our mobile story with some perspective: Approximately half of you reading this e-book will do so on mobile. That fact alone should be a compelling enough reason to keep reading, but in case it’s not, the following data illustrates the impact mobile growth has had on our technological landscape.
Tags : mobile, mobile adoption, customer loyalty, always on
     Akamai Technologies
By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
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     Alteryx, Inc.
By: Arcserve     Published Date: Jul 23, 2010
This white paper describes an approach that provides these performance metrics for specific IT stakeholders, all drawn from data collection and analytics that support a holistic, integrated approach to optimizing IT service delivery.
Tags : ca technologies, performance metric, it service, monitoring, productivity, customer retention, service assurance
     Arcserve
By: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
Tags : cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse
     Attunity
By: Avi Networks     Published Date: Mar 17, 2016
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling applications to be re-architected into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
Tags : avi networks, load balancing strategy, best practices, software defined architecture, application centric, application performance, application services, application delivery controller
     Avi Networks
By: Avi Networks     Published Date: Mar 24, 2016
This buyer’s guide for load balancers is based on research, best practices, and conversations with network administrators and IT operations teams at over 110 Global 2000 enterprises. It presents guidelines for choosing application services that mirror the needs of modern data centers and public cloud initiatives. The guide is organized in sections, starting with a pre-assessment of your current application delivery capabilities. With data gathered from your pre-assessment, you can review the considerations involved in creating a software-defined application services strategy; identify opportunities to improve automation of application services and operations. Finally, use the software-defined application services checklist at the end of the guide to identify key priorities in your choice of application service solutions for your enterprise.
Tags : avi networks, best practices, application services, modern data centers, public cloud initiatives, load balancer, load balancing, application delivery
     Avi Networks
By: Avi Networks     Published Date: Mar 07, 2018
"Maximizing Operational Efficiency and Application Performance in VMware-Based Data Center Some of the most common challenges in VMware-based virtual data center environments include: - Lack of visibility into applications and end-user experience - Complex and error-prone operations - High capital and operational costs Review our solution brief to learn how the Avi Controller, the industry’s first solution that integrates application delivery with real-time analytics, is able to solve these challenges."
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     Avi Networks
By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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     Avi Networks
By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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     AWS
By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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     BMC ASEAN
By: CA Technologies     Published Date: Jun 03, 2015
"Industry leaders share insights on DevOps and big data, ITIL, testing and more. Once again, we have spent time talking to leading community figures such as Dave Farley (“Continuous Delivery” author) to discuss the major issues impacting DevOps today. This latest issue features comments from 10 experts and covers many hot topics such as: - Enterprise DevOps transformation - DevOps and big data - DevOps and ITIL - Shadow IT vs DevOps - 6 Habits of Effective DevOps Practitioners - DevOps and Testing
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     CA Technologies
By: CA Technologies     Published Date: Jun 04, 2015
Industry leaders share insights on DevOps and big data, ITIL, testing and more. Once again, we have spent time talking to leading community figures such as Dave Farley (“Continuous Delivery” author) to discuss the major issues impacting DevOps today. This latest issue features comments from 10 experts and covers many hot topics such as: - Enterprise DevOps transformation - DevOps and big data - DevOps and ITIL - Shadow IT vs DevOps - 6 Habits of Effective DevOps Practitioners - DevOps and Testing
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     CA Technologies
By: CA Technologies     Published Date: Aug 24, 2017
The “connected car” market is forecasted to reach $98.42 billion by 20181. The convergence of the app economy, increased connectivity, the Internet of Things (IoT), growth of in-car screen displays and open enterprise data models is giving automotive manufacturers and their partners a wealth of opportunities to improve service delivery and backend supply-chain management.
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     CA Technologies
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.
Tags : data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
     CA Technologies EMEA
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.
Tags : virtual services, data, avoid project delays, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem
     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Aug 07, 2017
Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.
Tags : data management, data system, enterprise management, continuous testing, testing effort, service virtualisation, delivery ecosystem
     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 11, 2018
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging. Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
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     CA Technologies EMEA
By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Application release automation (ARA) tools enable best practices in deploying and promoting applicationrelated artifacts, properties, configurations and even data across an application lifecycle in a safe, predictable and repeatable manner. Gartner reports that using an ARA tool is key to enabling DevOps and achieving continuous delivery. Wikipedia also defines five dimensions of scalability that can apply to ARA tools: • Administrative scalability • Functional scalability • Geographic scalability • Load scalability • Generational scalability This white paper will explain how each of these criteria is relevant when choosing an ARA product that is capable of scaling along with the growth of your enterprise.
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     CA Technologies_Business_Automation
By: CA WA 2     Published Date: Oct 01, 2008
Given the increased complexities and requirements thrust onto data center management environments over time, a more holistic management approach is necessary for efficient and cost effective delivery of IT services. Authors and analysts Judith Hurwitz and Robin Bloor bring their research and extensive experience to light in respect to the state of data center management by building the case for automation as a key strategy for efficient and cost effective management.
Tags : datacenter automation, data center automation, network management, ca wa, ca wa 2
     CA WA 2
By: Calpont     Published Date: Mar 13, 2012
This paper focuses on conveying an understanding of columnar databases and the proper utilization of columnar databases within the enterprise.
Tags : columnar, databases, utilization, columnar, enterprise, data, straoge, organization
     Calpont
By: Cisco     Published Date: Dec 15, 2010
Understanding frequently encountered data workflow processing pain points and new strategies for addressing them.
Tags : cisco, business intelligence, etl, process management pain point, process management, data workflow, enterprise data delivery, interactive analytic
     Cisco
By: Cisco     Published Date: Nov 08, 2012
This white paper addresses technical professionals who want to increase the efficiency and flexibility of their data center and are considering deployment of private cloud or delivery of IT as a service (ITaaS).
Tags : business agility, data center, unified data centers, cloud computing, cisco, virtualization, automation, itaas
     Cisco
By: Cisco     Published Date: Nov 08, 2012
Download this whitepaper to learn more about the Cisco® Unified Data Center platform, designed specifically to overcome the current data center constraints and provide agile, simplified, and efficient IT service delivery and cloud computing.
Tags : unified data center, cloud infrastructure, cloud computing, unified management, cisco
     Cisco
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