app data

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By: SoftLanding Systems     Published Date: Nov 18, 2006
This no-nonsense primer covers the benefits and basic principles of good testing, offers practical advice for getting the most out of your testing efforts, and pinpoints several areas where automation will help you achieve the most cost-effective results.
Tags : software testing, quality assurance, application testing, test and measurement, database development, quality assurance, scripting, software testing, web services, web service security, softlanding, soft landing, software development
     SoftLanding Systems
By: Riverbed     Published Date: Feb 26, 2015
The goal of understanding and managing service behavior remains elusive. Failure to adopt operational practices such as service portfolio management, process refinement, consolidation of tools, and consolidation of the organizational entities themselves explain most of the trouble.
Tags : service management, application visibility, operational practices, infrastructure, application monitoring, database monitoring, cloud performance management
     Riverbed
By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : analytics, ibm, operational decision manager, operations, brand, data, big data, trends
     IBM
By: IBM     Published Date: Apr 07, 2015
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : ibm, odm, operational, decision, maker, analytics, update, v8.7, decisions, data, scope, scale, speed, context
     IBM
By: IBM     Published Date: Mar 31, 2016
"Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action. "
Tags : ibm, ibm operational decision manager, ibm odm advanced, process improvement, business analytics, business insights
     IBM
By: IBM     Published Date: Jul 07, 2016
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : ibm, odm, middleware, ibm operational decision manager, application services, networking, enterprise applications
     IBM
By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
Tags : artificial, intelligence, enterprise
     BlackBerry Cylance
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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     Dun & Bradstreet
By: VMTurbo     Published Date: Apr 11, 2013
This whitepaper describes VMTurbo’s supply chain economy approach, which uniquely addresses these requirements. VMTurbo combines monitoring, analytics and actions to enable proactive virtualization management. VMTurbo’s Observe Advise Automate model delivers intelligent and holistic visibility, analytics and automation.
Tags : economic, management, operations, virtualization, vmturbo, analytics
     VMTurbo
By: IBM     Published Date: Dec 02, 2014
Across the automotive industry, organizations are using analytics to transform all aspects of their business. In the vast majority of instances, the analytics performed is on data that is already available within the organization or wider automotive ecosystem, but has not yet been tapped to use its full potential. Analytics can unlock the value held in this data, helping to answer key “what if” questions across the organization and the value chain. For example, what if dealerships could better understand their customers’ digital journey? Or what if manufacturing could improve visibility into parts, assembly and vehicle inventory?
Tags : automotive analytics, automotive ecosystem, automotive manufacturing, advanced analytics, it management, enterprise applications
     IBM
By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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     TIBCO Software
By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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     TIBCO Software
By: HP - Enterprise     Published Date: Jun 05, 2013
In today’s mobile world, the user is at the center of the application experience. This is true whether the user is a customer, a partner, or an employee. Yet meeting the needs for the enterprise user poses particular challenges. Apps must work seamlessly across devices and screen sizes, enabling real-time collaboration, without sacrificing data security. This balance requires a mobile app development platform built for the unique demands of the enterprise.
Tags : applications, apps, mobile applications, mobile, user-driven, data security
     HP - Enterprise
By: AppSense     Published Date: Oct 06, 2011
Significant differences exist in uptake of the different flavours of desktop virtualisation, for example in VDI the shared-server approach is more prevalent than 'one server per client'. It is likely that more organisations will seek the economies of scale offered by the shared server approach than those looking at the one server per desktop approach to deliver 'higher performance' desktops. However, there will be situations where centralising the management and other operational elements of a desktop estate by employing a one server per desktop approach are appropriate.
Tags : appsense, user, virtualization, data center, desktop management, technology
     AppSense
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: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
Tags : ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, data center
     IBM
By: ForeScout     Published Date: Aug 14, 2012
In a BYOD world, companies can choose to secure and manage the entire mobile device user pool or secure portions of that community. Either way, steps must be taken to prevent unauthorized access to network resources and data loss. Enterprises should consider solutions that allow policies to be applied based on user, device, network, application, and data leakage risks.
Tags : archetecting, flexible, strategy, for securing, enterprise, bring, device, byod, data, loss, prevention, mobile, security, landscape, data, access, device, mobility, risks, augmenting
     ForeScout
By: VMWare - vFabric     Published Date: May 10, 2012
This webcast will review best practices for architecting a modern data management platform.
Tags : vfabric, vmware virtualization, server virtualization, desktop virtualization, public cloud, private cloud, virtual machine, vmware, vm ware, data management, architecture, networking
     VMWare - vFabric
By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
Tags : red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms
     Red Hat
By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
Tags : red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, it management, data management
     Red Hat
By: NetApp     Published Date: Sep 25, 2017
Evaluate the four key design choices you need to consider when choosing your all-flash storage architecture. This report compares the design choices made by NetApp SolidFire and EMC XtremIO so you're better equipped to decide which product is best for your next-generation data center.
Tags : 
     NetApp
By: NetApp     Published Date: Sep 19, 2017
Evaluate the four key design choices you need to consider when choosing your all-flash storage architecture. This report compares the design choices made by NetApp SolidFire and Pure Storage so you're better equipped to decide which product is best for your next-generation data center.
Tags : netapp, database performance, flash storage, data management, cost challenges, solidfire vs purestorage
     NetApp
By: MobileIron     Published Date: Feb 08, 2017
Enterprise organizations around the world are rapidly shifting their corporate apps and data to the cloud to drive IT efficiency and expand employee access to business processes. This applies not only to productivity suites like Microsoft Office 365, but also to enterprise mobility management (EMM) solutions like MobileIron.
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     MobileIron
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