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data integration

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Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: IBM     Published Date: May 09, 2017
How companies are managing growth, gaining insights and cutting costs in the era of big data
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Jun 20, 2017
Watch this on-demand webinar for a look at in-memory databases and better understand the advantages of in-memory vs. disk-based technology.
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data integration, data security, data optimization, data virtualization, in-memory, disk-based, technology
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
Published By: IBM     Published Date: Apr 13, 2018
New survey reveals the challenges organizations face in integrating data and their priorities for improving data integration.
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data integration, data, cloud
    
IBM
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals.
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big data, data integration, bi systems, hadoop
    
Pentaho
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
    
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
    
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: 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: 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
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