application integration

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Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: Dell Boomi     Published Date: May 29, 2013
Application and data integration doesn't have to be slow and expensive. New cloud-based integration platforms dramatically speed results and lower costs, as outlined in this new report by Bloor Research.
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Dell Boomi
Published By: Dell Boomi     Published Date: May 28, 2013
Application and data integration doesn't have to be slow and expensive. New cloud-based integration platforms dramatically speed results and lower costs, as outlined in this new report by Bloor Research.
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Dell Boomi
Published By: IDERA     Published Date: Nov 07, 2017
Increasing dependence on enterprise-class applications has created a demand for centralizing organizational data using techniques such as Master Data Management (MDM). The development of a useful MDM environment is often complicated by a lack of shared organizational information and data modeling. In this paper, David Loshin explores some of the root causes that have influenced an organization’s development of a variety of data models, how that organic development has introduced potential inconsistency in structure and semantics, and how those inconsistencies complicate master data integration.
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IDERA
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: MuleSoft     Published Date: Nov 27, 2018
In response to the federal government’s Cloud First initiative, agencies are moving to the cloud at an accelerated rate - moving on-premise applications, data and workloads to cloud infrastructure and adopting SaaS technologies like Salesforce, ServiceNow and Workday. What many in government have found is that integration and looking for government integration solutions has emerged as a stumbling block that has prevented government from realizing many of the benefits of moving to the cloud. This is because while a growing number of applications adopted by government are in the cloud, the underlying integration technologies connecting these applications are still based on-premise, meaning that government IT teams still have to spend time provisioning and maintaining infrastructure to ensure that their middleware doesn’t become a performance bottleneck for their applications. Join us for a conversation with MuleSoft CISO Kevin Paige on why cloud integration is key for agencies to succe
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MuleSoft
Published By: ASG Software Solutions     Published Date: Nov 09, 2009
Composite applications can provide multiple benefits, such as business agility, better utilization of business software assets through code reuse, development efficiencies, and cost optimization. Once companies are skilled at deploying them, many find that they roll out new applications and integrations faster, while maximizing the value of "tried and true" software components.
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asg, cmdb, bsm, itil, roi, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms, itsm, analytical applications, business intelligence
    
ASG Software Solutions
Published By: Red Hat     Published Date: Sep 09, 2018
As applications and services become more central to business strategy, and as distributed methodologies like agile and DevOps change the way teams operate, it is critical for IT leaders to find a way to integrate their backend systems, legacy systems, and teams in an agile, adaptable way. This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs—to deliver flexibility, scalability, and reusability.
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Red Hat
Published By: Red Hat     Published Date: Sep 09, 2018
This assessment shows that enterprises adopt Red Hat Fuse because they believe in a community-based open source approach to integration for modernizing their integration infrastructure that delivers strong ROI. For these organizations, Fuse was part of a larger digital transformation initiative and was also used to modernize integration. IDC interviewed organizations using Fuse to integrate important business applications across their heterogeneous IT environments. These Red Hat customers reported that Fuse has enabled them to complete substantially more integrations at a higher quality level, thereby supporting their efforts to deliver timely and functional applications and digital services. Efficiencies in application integration with Fuse have generated significant value for study participants, which IDC quantifies at an average value of $75,453 per application integrated per year ($985,600 per organization). They have attained this value by: » Enabling more efficient and effectiv
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Red Hat
Published By: Commvault     Published Date: Jul 06, 2016
Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution
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commvault, intellisnap, netapp, backup, recovery, data growth, server virtualization, data protection, cifn, snap management, snapprotect, security, business technology
    
Commvault
Published By: Cisco     Published Date: Dec 08, 2015
The 2015 Guide to WAN Architecture and Design describes a hypothetical company, referred to as NeedToChange, which has a traditional approach to WAN design. It then presents Cisco's response to how NeedToChange should evolve its WAN. This e-book includes a summary of the key components of some of the emerging approaches to WAN architecture and design and concludes with a call to action that outlines a project plan that network organizations can use to evolve their WAN.
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applications, systems integration, cloud, platform, wan, networking, it management, wireless
    
Cisco
Published By: DocuSign     Published Date: Feb 13, 2017
Greg Baran, Director of Enterprise Applications at Vocus, speaks about DocuSign's seamless integration with Salesforce allowed them to focus on their business process rather than the technology. Vocus is always searching for new ways to DocuSign! Find out about DocuSign for Salesforce:
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DocuSign
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