data integration

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Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers six guidelines product leaders should explore during their embedded analytics evaluation.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: Oracle     Published Date: Jul 31, 2017
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
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Oracle
Published By: HP     Published Date: Feb 02, 2015
Download this white paper to discover how HP can help your organization meet its backup, recovery and archiving needs with a complete, one-stop backup solution.  Find out how the HP Data Protector and StoreOnce solution can reduce the amount of stored data by 95 percent and use highly efficient deduplication to lower bandwidth. You will also learn about the Data Protector’s advanced features including built-in disaster recovery, snapshot integration with other storage arrays, and its ability to instantly recover mission-critical applications.
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HP
Published By: HP     Published Date: Feb 11, 2015
Download this white paper to discover how HP can help your organization meet its backup, recovery and archiving needs with a complete, one-stop backup solution.  Find out how the HP Data Protector and StoreOnce solution can reduce the amount of stored data by 95 percent and use highly efficient deduplication to lower bandwidth. You will also learn about the Data Protector’s advanced features including built-in disaster recovery, snapshot integration with other storage arrays, and its ability to instantly recover mission-critical applications.
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HP
Published By: Limeade     Published Date: Aug 27, 2015
Employee engagement is no longer a matter of physical health, job satisfaction or stress management. Simply put, to make sustained engagement a reality, employers need to address the whole employee — their health, well-being and performance.
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employee engagement, engagement solution, engagement platform, talent management, employee performance, company culture, employee health, employee well-being, rewards and recognition, health screening, data integration, engagement expertise, engagement experts, engagement strategy
    
Limeade
Published By: ServiceNow     Published Date: Mar 24, 2015
Technology has become the heart and soul of every business. The hardware boundaries of IT have exploded beyond data centers, with mobile devices in the hands of both employees and customers alike. Application options have blossomed, from traditional to open source to software-as-a-service. Business has become global, bringing with it a demand for round-the-clock agility. Employees expect that the applications they use at work should be as easy to use the Web apps they use at home. Integration remains difficult, because it's sometimes impossible to know what will happen when someone tries to pluck one strand out of the pile. IT workload and system complexity will only get more challenging, bringing the need for disintermediation through service automation.
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future it, service automation, it workload, integration, data centers, mobile devices, software-as-a-service, web apps, it management, enterprise applications
    
ServiceNow
Published By: Okta     Published Date: Jul 25, 2016
For most companies, Active Directory (AD) or LDAP and play the central role in coordinating identity and access management policies. Directory integration typically serves as a "source of truth" for user identities, and it provides access control to on-premises resources such as networks, file servers, and web applications. A byproduct of the transition to cloud applications is the proliferation of separate user stores; each cloud application typically is rolled out independently and therefore has its own unique database of user credentials. Okta's cloud-based identity and access management service solves these problems with a single integration point that provides a highly available solution for all cloud and web-based application Active Directory integrations.
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cloud computing, cloud applications, best practices, applications, access management, business technology
    
Okta
Published By: Okta     Published Date: Jul 27, 2016
For most companies, Active Directory (AD) or LDAP and play the central role in coordinating identity and access management policies. Directory integration typically serves as a "source of truth" for user identities, and it provides access control to on-premises resources such as networks, file servers, and web applications. A byproduct of the transition to cloud applications is the proliferation of separate user stores; each cloud application typically is rolled out independently and therefore has its own unique database of user credentials. Okta's cloud-based identity and access management service solves these problems with a single integration point that provides a highly available solution for all cloud and web-based application Active Directory integrations.
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identity, idaas, iam, identity lifecycle management, mobile, provisioning, active directory, security, cloud applications
    
Okta
Published By: OpenText     Published Date: Jun 28, 2019
Integration Technologies Should Reduce The Burden of Data Integration and Management Digital transformation has multiplied the number of packaged applications and the interfaces that support them. It also requires a greater agility from businesses to follow growing customer demands for value, innovation, and new and improved digital interactions. This means that interfaces must constantly evolve to support the continuous integration and continuous delivery (CI/CD) of systems of engagement. These applications are under pressure from customer experience, employee experience, and the required operational excellence of automation systems.
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OpenText
Published By: IBM     Published Date: May 26, 2017
Business executives and managers at business-to-business (B2B) enterprises care about time, money, competitive advantage, customer loyalty and growth. Few pay much attention to the vital IT infrastructure that supports transactions and collaboration with trading partners—though that B2B backbone directly affects performance and profitability. In fact, just 26 percent of business managers view B2B integration as a competitive differentiator, according to a study for IBM by Vanson Bourne, a research consultancy. As a result, many enterprises continue to utilize manual and error-prone emails, faxes and file transfers for B2B transactions. Reliance on complex, brittle and antiquated systems to exchange critical data impacts time to market, cost-efficiency and satisfaction across suppliers and end-customers. Modernization of B2B integration in recent years has moved forward in fits and starts, often undermined by competing priorities and misalignment between business and IT managers.
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b2b integration, customer loyalty, ibm, customer growth
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: Datastax     Published Date: Jun 20, 2019
A Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider. This report assesses the shift to multicloud architecture, challenges being faced by data and analytics leaders, and the growing need for database management technology that enables integration of data across multiple clouds.
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Datastax
Published By: OneLogin     Published Date: Oct 24, 2017
In this ebook, we dive into how identity management streamlines access to the cloud while protecting corporate data. The location of many resources is changing to the cloud, yet companies still need central management of those resources. Trying to maintain security and order in a chaotic free-for-all use of cloud apps and bring-your-own-device culture is like a black hole sucking in IT’s time—time they could be dedicating to other projects. OneLogin’s cloud identity management platform spans the entire application portfolio with secure single sign-on (SSO), multi-factor authentication (MFA), user provisioning, integration with common directory infrastructures such as Active Directory (AD), Lightweight Directory Access Protocol (LDAP), and various cloud directories, and more. We recommend the following: • IT departments leverage OneLogin for all their identity management needs • IT departments educate users about security and safe sharing • App owners enable Security Assertion M
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OneLogin
Published By: Red Hat     Published Date: Jan 02, 2018
Organizations are at a strategic crossroads. According to IDC analysts,1 two-thirds of CEOs will center their corporate strategies around digital transformation initiatives. The goal of digital transformation is only partly to make existing functions more effective. The greater goal is to be able to do new things and use existing data in new, better ways. Yet, 72% of current IT spending2—and the focus of IT resources—is on maintaining existing systems. This creates tension between what needs to be done today and what should be done for the future. Middle-tier applications, according to IDC,3 are the core of a digital transformation strategy because they provide data integration, messaging, and application programming interface (API) management. Middle-tier applications also provide a platform for application development and management that can handle traditional enterprise applications and cloud-native, distributed applications. Specifically, a Java™ EE-based application platform can
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Red Hat
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Aug 09, 2018
New survey reveals the challenges organizations face in integrating data and their priorities for improving data integration.
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IBM
Published By: MarkLogic     Published Date: Nov 07, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
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MarkLogic
Published By: Diligent     Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms. Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Diligent
Published By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: SAS     Published Date: Nov 10, 2014
Learn how this upcoming year should be the year you make your big data actionable and see what else you should be doing to maximize its potential.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: SAS     Published Date: May 24, 2018
Implementing omnichannel marketing is often difficult, especially when using digital channels. Most products designed for digital channels lack the ability to integrate with traditional channels that have on-site processes and data. SAS Customer Intelligence 360 enables businesses to use both cloud and on-site channels and data. This integration is possible because of SAS software’s hybrid cloud architecture.
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SAS
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: Infomatica     Published Date: May 19, 2015
In this eBook, best-selling author Brian Underdahl explores the fundamentals of data integration and how the latest tools can simplify today’s (and tomorrow’s) data landscape. “Data Integration for Dummies” provides valuable reference if you need to explain data integration to the business, are looking for an alternative to hand-coding data mappings, or simply interested in expanding your knowledge.
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data integration, it infrastructure, data sources, data landscape, data mappings, it management
    
Infomatica
Published By: MarkLogic     Published Date: Mar 29, 2018
Real World Evidence (RWE) requires the correlation of complex, frequently changing, unstructured data. To the enterprise architect, that means extracting value from data that doesn't neatly fit solutions. In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that is required to be successful with RWE. It is for this reason that leading life science organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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data, integration, volume, optimization, architect, enterprise
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
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