integration

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Published By: graphgrid     Published Date: Oct 02, 2018
Whether itís 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 arenít 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: DATAVERSITY     Published Date: Nov 11, 2013
This report investigates the level of Information Architecture (IA) implementation and usage at the enterprise level. The primary support for the report is an analysis of a 2013 DATAVERSITYô survey on Data and Information Architecture. This paper is sponsored by: HP, Vertica, Denodo, Embarcadero and CA Technologies.
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information architecture, data architecture, white paper, mdm, master data management, data, data management, enterprise information management, enterprise data management, data virtualization, metadata, data modeling, research paper, survey, data integration
    
DATAVERSITY
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: Adaptive     Published Date: May 10, 2017
Enterprise metadata management and data quality management are two important pillars of successful enterprise data management for any organization. A well implemented enterprise metadata management platform can enable a successful data quality management at the enterprise level. This paper describes in detail an approach to integrate data quality and metadata management leveraging the Adaptive Metadata Manager platform. It explains the various levels of integrations and the benefits associated with each.
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Adaptive
Published By: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: Pentaho     Published Date: Jul 23, 2014
Pentaho Analytics for MongoDB will teach you MongoDB and Pentaho integration points and developer skills needed to create turnkey analytic solutions that deliver insight and drive value for your organization.
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nosql, ebook, pentaho, analytics, business intelligence, mongodb
    
Pentaho
Published By: Silwood Technology     Published Date: Mar 02, 2016
Ever since organisations started to implement packaged software solutions to solve business problems and streamline their processes there has been a need to access their data for the purposes of reporting and analytics, integration, governance, master data and more. Information Management projects such as these rely on data professionals being able to understand the underlying data models for these packages in order to be able to answer the critical question ďWhereís the data?Ē. Without this knowledge it is impossible to ensure accuracy of data or timely delivery of projects. In addition the lack of discovery tools designed to meet this challenge has meant that performing this task has commonly been frustrating, time-consuming and fraught with risk. This white paper offers insight into why the traditional methods are not effective and how an innovative software product from Silwood Technology provides a faster and more effective approach to solving the problem.
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Silwood Technology
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 organizationís 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 itís 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 arenít 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.
Tags : 
    
graphgrid
Published By: Basho     Published Date: Nov 25, 2015
The landscape of Scalable Operational and Analytical Systems is changing and disrupting the norm of using relational databases for all workloads. With the growing need to process and analyze Big Data at Scale, the demand for alternative strategies has grown and has given rise to the emergence of NoSQL databases for scalable processing. Mike Ferguson, Managing Director of Intelligent Business Strategies, is an independent IT Analyst who specializes in Big Data, BI/Analytics, Data Management and Enterprise Business Integration. In this whitepaper he will discuss the movement towards NoSQL databases for scalable operational and analytical systems, whatís driving Big Data analytics from Hadoop to the emergence of Apache Spark, the value of operational analytics and the importance of in-memory processing, and why use Apache Spark as your in-memory analytical platform for operational analytics.
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Basho
Published By: Cambridge Semantics     Published Date: Apr 03, 2014
A new approach to rapid, high-quality data integration, data services, and data governance.
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white paper, data, data mangement, enterprise information management, cambridge semantics, semantic technology
    
Cambridge Semantics
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Across enterprises of all kinds, data is multiplying rapidly in both quantity and variety. Across multi-cloud environments, new sources are exponentially increasing the growing stream of information, including the Internet of Things, social media, mobile devices, virtual reality implementations and optical tracking.
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Group M_IBM Q418
Published By: Workday     Published Date: Oct 11, 2018
Before Workday, Panera Breadís payroll processes were manual, inefficient, and error-prone, and payroll nightmares and compliance risks were a regular occurrence. Complex systems and costly integrations made it impossible for the company to keep up with its rapid growth or gain valuable insights into global labor expenses. See the infographic to learn why unifying HR, payroll, time tracking, and absence management in a single system allows Panera to use one consistent, flexible, and scalable system across the U.S. and Canada.
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Workday
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
The market for financial services is changing fast. To evolve, banks are transforming their organizations into digital ecosystems using APIs. APIs have emerged as critical enablers to help financial services firms meet new consumer expectations. Through collaboration with fintechs, banks will use APIs to add new functionality from business partners and deliver internally-developed service offers to partner value chain and ecosystems. Read this whitepaper to learn more about the role of APIs and how this new ecosystem will allow banks to: Drive horizontal and vertical integration Foster a culture of collaboration Create new revenue streams and get solutions to market faster Deliver innovation and functionality to the business
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
Todayís digital era places strain on traditional financial firms, including increased customer expectations, the threat of disintermediation by market entrants, strict regulatory requirements, and more. How do banks, who face operational silos and aging systems, keep up? The answer lies in building a digital platform with APIs. In this session, hear directly from seasoned technologists to learn about the approach, tools, and operating model they use to successfully adapt and lead in the marketplace. Discover how to get more out of your existing legacy and cloud infrastructure and, in turn, deliver a flexible architecture that can easily adapt as new technologies emerge. During this session, you will learn: Why industry disruptions and increased customer expectations demand a bank that transforms into a digital platform. How an API-led approach to integration can help financial firms transform into digital platforms. SunTrustís journey with MuleSoftís Anypoint Platform and Salesf
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
Well-designed APIs, created along with a holistic integration strategy with Anypoint Platform, create a seamless omnichannel experience that customers want and businesses need. To deliver a reliable and unified experience more quickly, companies must adopt a new approach that involves an omnichannel architecture. Across industries from healthcare to banking to retail, MuleSoft is powering omnichannel strategies that result in faster time to market, improved customer satisfaction, and increased revenue. Watch this webinar, including a demo, to learn how to: Take an API-led approach to omnichannel that enables companies to deliver a unified experience 5x faster Leverage Anypoint Exchange to enable consistency by design through the reuse of integration assets across channels, translating to a consistent experience for your customers Prepare for the future (and future channels) with support for different deployment models with a single, unified platform Presented by: John Withers, Produ
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
In the wake of recent legislative pressures and the formation of the Digital Transformation Agency, Australian state and federal government agencies face an imperative to deliver superior digital services to employees and citizens without a corresponding increase in budget. As a result, many agencies have turned to IT modernisation as a means of driving more cost-effective digital transformation. The key to successful execution of digital transformation initiatives depends on a new approach to integration and API strategy called API-led connectivity. In this whitepaper, you will learn: Why Australian government agencies must change how they deliver IT projects, and the role integration and an API strategy play in supporting the modernisation of government IT How to build out an API-led architecture within a government agency to realise 2-5x increases in IT productivity How best practice from initiatives like Service NSW provide a model for government agencies to pursue digital trans
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
Evolving citizen and constituent expectations have created the imperative for government to digitally transform. Delivering on digital transformation grows more challenging by the year, as the proliferation of modern technologies (e.g. SaaS, mobile, IoT) forces IT teams to rethink how to best deliver projects to their constituents and deliver on their mission. Microservices have emerged as a means through which government IT teams can increase project delivery speed without compromising on security. This whitepaper discusses the role microservices can play in government, and how API-led connectivity helps agencies to more effectively and securely implement a microservices architecture. Readers will learn: Why government IT teams must move beyond point-to-point integration How API-led connectivity supports microservices adoption in government How government can use MuleSoftís FedRAMP In Process integration platform to rapidly develop APIs and microservices
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
The world of retail is changing dramatically. Retailers used to have anonymous, transactional relationships with their customers; but now both retailers and customers want a deeper relationship. The retailers that win today are the ones that use technology to build those personal customer experiences and transform their digital retail experience. However, it isnít always easy to implement new solutions with existing systems. Read this eBook to discover: Why existing approaches are not sufficient for the pace of digital transformation that retail demands How to drive technology change in your organization, creating a greater capability to innovate and transforming the digital retail experience for your customers How to adopt an API-led approach to integration that packages underlying connectivity and orchestration services as easily discoverable and reusable building blocks
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
Today, government IT teams are expected to deliver more services with fewer resources. Consequently, many agencies have prioritized legacy modernization, interoperability, and shared service models as a means towards increasing IT delivery capacity. We propose that successful execution of these initiatives within the confines of a strictly managed budget requires a new approach to integration, one centered around APIs. Our recommended approach, API-led connectivity, builds on the principles of reuse first outlined by SOA, while avoiding many of the pitfalls that limited the success of heavyweight SOA implementations. In this whitepaper, you will learn: What forces drive digital transformation in federal government, and what role integration plays in supporting digital transformation How a civilian federal agency leveraged APIs to modernize legacy systems and accelerate the speed of integration How to build out an API-led architecture within a government agency to accelerate project
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MuleSoft
Published By: MuleSoft     Published Date: Nov 27, 2018
In response to the federal governmentís 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 doesnít 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: Attivio     Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
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attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, business intelligence, database development, data quality, data warehousing
    
Attivio
Published By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
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attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, database development, data warehousing
    
Attivio
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