Reference Library: Data Integration, Data Quality, MDM, ESB & BPM

Poor data quality is more impactful than most people think. Chaos theory, specifically the "butterfly effect", explains how a single piece of poor data can have long-term consequences on your corporate vision. This white paper discusses the ubiquitous nature of data and how data quality monitoring, profiling, cleansing and enrichment can be used to minimize the chaos.

Over the past few years, open source has established itself as a key component of the overall data integration market. Many organizations have adopted this model for their data integration projects. These organizations span all industries, all continents, and all company sizes. More importantly, their projects range from ETL for data warehousing or business intelligence to operational data integration, data migration, data synchronization, etc.

This second volume of Practical Open Source Data Integration: Case Studies & Implementation Examples presents selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.

Over the past few years, commercial open source vendors have been providing a real alternative to proprietary players. In the data integration space, enterprise grade open source solutions are adopted by many organizations for their data integration and data quality projects. These organizations span all industries, all continents, and all company sizes. More importantly, their projects range from ETL for business intelligence to operational data, data quality, master data management, etc.

This third volume of Practical Open Source Data Integration: Case Studies & Implementation Examples presents selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.

Enterprise data integration needs are growing exponentially over time, as is the interest in open source technologies and the adoption of open source solutions. And, as information systems are becoming more heterogeneous, the global economy is imposing cost controls on IT Managers, both in terms of staff and software. With this in mind Talend conducted a survey to define the usage landscape of open source data integration and to profile users of this technology.

Consolidating the open source experience of over 1000 respondents, this White Paper discusses the most commonly used data integration technologies, their benefits, and the associated decision criteria. It also highlights the types of projects open source data integration is used for, and how it complements other data integration technologies.

Data integration (DI) is often seen as merely a technical discipline, but this ignores the vital role it plays in helping enterprises achieve their business goals. It is essential that business managers, as well as technical staff, understand how better DI can help deliver against key commercial goals, such as helping the organization become more efficient, agile, innovative and customer centric.

Telesperience research indicates a pattern of high and increasing demand for DI from the business, as well as a recognition that DI is a key strategy for lowering costs and improving business performance. However, most enterprises also report that their DI projects over-run on either cost or time (or both) and that DI costs are either too high or more than anticipated.

This paper explains why DI is an important weapon in an enterprise's competitive arsenal by analysing how poor DI inflates costs, by revealing the current DI drivers, and by explaining how DI can contribute to commercial success.

Telesperience's Research Director Teresa Cottam says: "Our research demonstrates that companies that are able to deliver DI projects quickly, reliably and at low cost will out-perform their rivals, because they will be able to exploit new technologies and insights to gain competitive advantage and reduce their costs."

When choosing a data integration solution that best meets their needs, companies are confronted with many product choices, and multiple sources of information - including software vendors who will assure that their product is the one they need! In reality, the proposed solutions may or may not be appropriate.

To help you evaluate various solutions and technologies available on the market, and to compare open source data integration technology with other alternatives, this White Paper presents the top 10 reasons why organizations are choosing open source for their data integration needs. To support these top reasons, the White Paper includes proof points (31 in total) provided by actual users of open source data integration.

The Talend Unified Platform technology is the first and only unified platform that leverages data integration, data quality, master data management, and application integration in a single development and runtime environment, promoting reusability and consistency of the approach.

Easily embed and bundle one or several technology components:

• Big Data - Hadoop and MapReduce architecture
• Data Integration - Award-winning integration solution
• Data Quality - First fully embeddable data quality solution
• Master Data Management - based on the flexible and multi-domain Active Data Model
• Enterprise Service Bus — a lightweight, standards-based web services stack, that includes messaging, mediation, and routing

More than 25 companies are partnering with Talend — including JasperSoft, WDCi Group and Bi3 Solutions. Learn how they and others are using Talend technology to augment their solutions and solve real-world business problems.

With cost often viewed as one of the major reasons to adopt open source technologies, the return on investment (ROI) of open source must be determined precisely when looking at deploying data integration solutions. This ROI Study looks in detail at all project costs: license (development, runtime, maintenance...), training and rampup, development and maintenance time, hardware and operating system, IT operations, etc. It also considers many intangible elements such as reliability, predictability, time to market.

More than a theoretical report, the ROI Study provides not only hard numbers but also the tools IT organizations need to assess the return of investment of open source, and to compare this ROI with the one of alternative options: manual coding, and proprietary data integration solutions.

Companies selling traditional data integration tools impose a ‘data tax’ on their customers. But what exactly is this data tax?

This whitepaper explains:

• How the data tax is being levied
• The damage the data tax can impose on your business
• Easy measures to decrease your data tax bill

A data tax calculator is included in the whitepaper.

Historically, public administrations have been the leading supporters of open source technology, especially - but not only - in Europe. The economic nature of these products has been one of the main factors of adoption, but as they have matured, these products offered other benefits that positioned them as viable alternatives to proprietary technology.

This White Paper presents the logic and reasons behind the adoption of open source by the public sector. It analyzes its benefits and presents concrete examples from public institutions in different countries.

Today, many organizations are deploying new systems - RDBMS, business applications such as CRM or ERP, data warehouses, etc. Any new technology deployment in an enterprise information system requires the newly-deployed system to interoperate, in one form or another, with a number of other applications or databases. This interoperability, which is essentially based on the exchange of data between systems ("data integration"), guarantees the consistency of data in the overall information system.

This White Paper describes a number of real-life applications and databases interoperability scenarios and explains how an Open Source approach helps solving the interoperability challenge.

Over the past few years, open source has established itself as a key component of the overall data integration market. Many organizations have adopted this model for their data integration projects. These organizations span all industries, all continents, and all company sizes. More importantly, their projects range from ETL for data warehousing or business intelligence to operational data integration, data migration, data synchronization, etc.

This document presents a few selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.

Organizations have long sought to leverage the knowledge embedded within their existing data assets. However, this desire often clashes with a data environment that is siloed and inconsistent. This analyst white paper explores the methods used to improve and extend the use of enterprise data, and then examines technical considerations that suggest implementation techniques to address data reuse needs. The paper examines accessibility, transparency, and reliability - important topics that determine the corporation's ability to leverage information to its fullest.

Author David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is a prolific author regarding BI best practices, via the expert channel on the BeyeNETWORK and numerous books and papers on BI and data quality.

IDC is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets.

In this IDC White Paper sponsored by Talend, analyst Carl Olofson discusses the data integration market, examines the approach taken by Talend, and shows how the combination of Talend's technical approach and its open source licensing overcomes key barriers to adoption of data integration.

It has been generally accepted that the open source model works well for delivering software support and other services on top of well-understood software technology in commodity markets such as operating systems and general-purpose relational DBMS.

Talend is demonstrating, however, that this model may also be applied as a go-to-market strategy to build a business based on new technology, such as that of the still rapidly evolving data integration market. Talend's product line, which is positioned to offer scalable, incremental enterprise data integration with components that are easy for non-technical staff to use, breaks the mold for open source, and its success could shake up the software business.

In most organizations today, data and other information are managed in isolated silos by independent teams using various data management tools such as data quality, data integration, master data management, etc. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools.

The purpose of this report is to help organizations plan and execute effective UDM efforts. Many need the help, because UDM is a relatively new shift in best practices for data management. Toward that end, the report drills into the business initiatives that need UDM, the data management practices and tools that support it, and the organizational structures that enable the cross-functional collaboration that’s critical to UDM success. The report also provides practical recommendations for the success of unified data management projects.

TDWI Best Practices Reports are designed to educate technical and business professionals about new technologies, concepts, or approaches that address a significant problem or issue. Research for the reports is conducted via interviews and surveys of leading-edge user companies.

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organizations.

In this Analyst White Paper, Research Director Philip Howard explains why web-based data, that includes not only clickstream data but also Web 2.0 user behavior information, is essential to analytic applications. He explains the complexity of incorporating this type of data in conventional analytic environments, and the technologies that are involved to optimize the process.

The white paper also describes a number of real-life use cases and their constraints and analyzes which technologies provide required capabilities.

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organisations.

Data migration projects frequently overrun their budgets, get delayed or, in extreme circumstances, get cancelled. A major reason behind these failures is because the techniques and disciplines of data migration are not treated seriously enough or are not well enough understood. This white paper highlights the major issues and complexities involved in data migration; it includes practical recommendations by the leading independent analyst firm for the success of migration projects.

"In our view, data migration has historically been under-valued, under-resourced and not treated with the attention it deserves." -- Philip Howard, Bloor Research

The amount and diversity of work done by data integration specialists has exploded since the turn of the twenty-first century. A lot of the growth comes from the emerging practice of operational data integration, defined as "the exchange of data among operational applications, whether in one enterprise or across multiple ones." Operational data integration involves a long list of project types, but it usually manifests itself as projects for the migration, consolidation, collocation, and upgrade of operational databases.

The purpose of this report is to identify the best practices and common pitfalls involved in starting and sustaining a program for operational data integration. The report defines operational data integration in terms of its relationship to other data integration practices, as well as by its most common project types. Along the way, it also looks at staffing and other organizational issues, followed by a list of technical requirements and vendor products that apply to operational data integration projects. The report also provides practical recommendations for the success of operational data integration projects.

TDWI Best Practices Reports are designed to educate technical and business professionals about new technologies, concepts, or approaches that address a significant problem or issue. Research for the reports is conducted via interviews and surveys of leading-edge user companies.

The 451 group is an independent technology-industry analyst company focused on the business of enterprise IT innovation. The company's analysts provide critical and timely insight into the market and competitive dynamics of innovation in emerging technology segments.

This report titled Climate Change: User Perspectives on the Impact of Economic Conditions on Open Source Software Adoption, is based on a survey of more than 1,700 open source software users and customers, assessing their current attitudes on the key benefits of open source software, including cost and flexibility.

The report serves as a practical guide for understanding the financial benefits of open source. It also includes an updated version of The 451 Group's guide for calculating the financial benefits of open source in enterprise IT projects. It provides a basic financial analysis approach and calculator to identify and capture the costs and potential benefits of open source software.

Note: This report is made available to you through your relationship with Talend. It was researched and published by The 451 Group, an independent industry analyst company, and is part of The 451 Group's Commercial Adoption of Open Source service. The report is available to the named recipient only and must not be shared externally to your organization

As information systems grow in complexity and volume, the need for scalability and versatility of data integration increases. In this White Paper, Bill Inmon explains how data integration grows from simple data movement to complex transformation functions, and how modern, pervasive and scalable data integration technology enables organizations of all sizes to deploy data integration technology, without the usual restrictions imposed by the deployment costs of traditional integration products.

Bill Inmon, world-renowned expert, speaker and author on data warehousing, is widely recognized as the "Father of Data Warehousing". He was also voted as "One of the Ten IT People Who Mattered in the Past Forty Years" by the ComputerWorld Magazine's July 2007 issue.

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organizations.

In this InDetail review, Research Director Philip Howard takes a close look at the Talend Data Management Platform, a unified solution for all data management projects, including data integration, data quality and master data management. This 19-page analyst study will help IT staff and decision makers get an independent angle on the benefits of leveraging a unified platform for data management.

"Talend is established as the leading open source provider for data integration and the introduction of a unified data management solution represents a major step forward for the company." -- Philip Howard, Bloor Research

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organizations.

In this Spotlight Report, Research Director Philip Howard explains why data discovery is of fundamental importance to data integration, data quality, and many other projects ranging from business intelligence through master data management to data governance and data archival. Nevertheless, data discovery has not traditionally been treated as a market or requirement in its own right. As a result, it is time to consider the importance of data discovery, and its requirements.

"We believe that the ability to discover and understand the relationships that exist across your data, wherever it resides, is of fundamental importance to a number of IT disciplines." -- Philip Howard, Bloor Research

In the beginning, open source solutions were the shiny play things of the techno crowd. After all, they were fun, new, and most importantly, free. No one would have considered using them in any real world corporate IT shops...

Today, open source solutions are not only being considered, they are being implemented by large and small enterprises -- at rates that are mind-boggling. This paper examines the challenges faced by organizations today regarding their BI, data integration, and data warehousing environments, why traditional solutions fall short, and the rise of upstart open source companies.

A thought leader, visionary, and practitioner in the rapidly growing fields of business intelligence and customer focused-strategy - Claudia Imhoff, Ph.D. is a popular and dynamic speaker and internationally recognized expert on analytical CRM, business intelligence, and the infrastructure to support these initiatives.

Most data integration processes have seen limited automation over the past decade despite many technology advances.

This White Paper by Industry Analyst Mark Madsen will help understand what data integration is, and especially the difference between Operational Data Integration and Analytic Data Integration. It highlights the benefits of open source for data integration, and provides a series of recommendations to make the integration job easier, repeatable and more productive.

Mark Madsen is president of Third Nature, a consulting and technology research firm focused on information management. Mark is an award-winning architect and former CTO whose work has been featured in numerous industry publications. He is an international speaker, a contributing editor at Intelligent Enterprise, and manages the open source channel at the Business Intelligence Network.

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organizations.

In this Market Update, Research Director Philip Howard explains how the enterprise market for data integration is now less focused on traditional ETL and more centered on data integration as a broader concept. He looks at the requirements for enterprise-ready data integration platforms and examines the vendor landscape, including traditional players and disruptive technologies such as open source.

"In any market, open source represents a potentially disruptive approach. However, relatively few vendors are effectively organised to take advantage of such disruption. Talend is an exception." -- Philip Howard, Bloor Research

Big Data is still a new and rapidly developing space, with solutions like high-end data warehouse appliances, Hadoop clusters, NoSQL databases and other technologies emerging to address varied use cases that are still being discovered.

Processing very large data sets provides unique constraints, especially when time windows available for this processing are shrinking.

This Technical White Paper presents a variety of technologies that are available for accelerating the processing of large data volumes, including massive parallelization, optimized data-set-mode processing based on Map Reduce, grid deployment, and load balancing.

All companies deploying SAP need to align all other applications and systems - whether internal or external - as a means of collaborating with partners and vendors, streamlining their operations, and maximizing their IT investments.

SAP is highly successful and popular, but it is also a large, unique, and complex system environment and presents many challenges to companies who want to integrate it with third-party systems.

This Technical White Paper explains how to fill a broad range of integration needs without expensive IT development costs.

For Big Data, Hadoop has quickly become the technology of choice for loading, transformation and analysis of petabytes of structured and unstructured data. Talend Integration Suite MPx delivers the tools that make high productivity Hadoop accessible to all:

• Use hundreds of Talend components available out of the box to move data between any source or target and Hadoop
• Drag and drop to build Hadoop loading and transformation processes like any other ETL job

This paper details six ways that “safe” choices in cloud data integration can come up short, and shows how Talend’s open source alternative delivers cloud-ready, cloud-scale solutions for cloud data integration projects.

The following checklist provides key functional requirements for implementing and deploying data quality in an enterprise environment.

With the emergence of data governance as a mainstream concept, companies are finding themselves proactively monitoring data and reporting the current state of data quality back to the origin. The trend shifts the focus of data quality from technology to process… and from IT to business.

This white paper will help you :

• Understand what metrics are important to the organization
• Take a baseline of DQ metrics
• Monitor metrics over time
• Report the metrics so that cross-functional teams can understand the impact

Poor data quality is more impactful than most people think. Chaos theory, specifically the "butterfly effect", explains how a single piece of poor data can have long-term consequences on your corporate vision. This white paper discusses the ubiquitous nature of data and how data quality monitoring, profiling, cleansing and enrichment can be used to minimize the chaos.

Data governance is an outstanding business strategy that leads your company toward greater efficiency, lower risk and increased revenue. Proper management of data underpins the success many strategic initiatives. However, it is not always easy for others to see its value.

This white paper discusses the techniques that have been successful for data champions as they "sell" the importance of data governance to their company. It examines guidelines for optimal project selection, tracking the value of data governance and techniques for overcoming objections to a data governance program.

Bad data management doesn’t happen overnight. Therefore, you can’t expect to establish a complete data governance program to solve all of your data management woes at once. One approach to data governance is to be pragmatic, carving off small important aspects of the data management problem and solving them one by one.
This white paper discusses the techniques that have been successful for data champions as they embark to establish an agile form of data governance for their company. It examines guidelines for project selection as well as other techniques for introducing agility into a data governance program.

Poor-quality data affects all data-related projects and refers to the state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.

This Technical White Paper presents the main challenges of data quality and drills into specific uses of data profiling and data cleansing. It highlights, through 32 distinct use cases, how open source data quality technology can be used to alleviate issues related to poor-quality data.

This white paper presents the top 10 reasons why organizations are upgrading their Talend data integration solutions for Talend Data Quality - one that includes profiling, cleansing, matching and monitoring data.

This white paper discusses the top ten root causes of data quality problems and suggests processes you can implement to avoid data quality issues.

When choosing a data quality solution, you have choices. This white paper presents the top 10 reasons why organizations are choosing Talend Data Quality for profiling, cleansing, matching and monitoring data.

An E-Book by Tech Target

A viable enterprise data strategy requires that data be managed and protected just like any other corporate asset. You also need a mix of “soft” skills—to build sustainable strategies and manage change, and “hard” skills—to use the technology to ensure the delivery of consistent, high-quality data.

Download this eBook now for proven data management strategies and techniques for avoiding common pitfalls.

For the first time, an outsider has been given unique access to Talend Data Quality, offering readers an in-depth look at functions of profiling, cleansing and matching data, as well as data stewardship.
The Talend Data Quality Experience offers a rare hands-on review with six pages of valuable insights and detailed descriptions of many of the features of TDQ.

Read how independent reviewer Dr. Götz Güttich from the IAIT test lab grades Talend Data Quality as a “must-have” for companies looking to improve the quality of their data.

This informative review is an unbiased and inclusive review completed in the spring of 2011.

In the Test Lab of IAIT, the Institute for Analysis of IT, Dr. Götz Güttich simulates heterogeneous IT environments of small and medium-sized enterprises, to test hardware and software solutions for the enterprise.

Matching technology plays an important role in achieving a single view of customers, parts, transactions or almost any type of data. Often used to identify duplicates and near-duplicates, matching technology is vital to providing data that is fit-for-use in enterprise applications.

This white paper outlines the basic theories and strategies of record matching. It describes the nuances of deterministic and probabilistic matching and the algorithms used to identify relationships within records. It covers the processes you can use in conjunction with matching technology to transform raw data into powerful information that drives success in enterprise applications like CRM, data warehouse and ERP.

Many organizations consider high quality master data as a key strategy for accomplishing corporate objectives. Proper master data management (MDM) is indeed extremely valuable when available to enterprise business processes and analytics, however, master data projects are often politically challenging, architecturally complex, time intensive and expensive.

MDM is a natural extension to data integration and data quality. Open source MDM introduces a new, more accessible approach. It reduces implementation complexity, time to value and cost. In fact, as in many other markets, open source helps organizations overcomes obstacles and realize their goals.

This White Paper provides an explanation of why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.

There are many reasons to implement MDM for product data. These business cases have been well documented and many projects have benefited from these implementations.

Download this Solution Brief and find out a series of reasons why others have used MDM. For each item, the business value as well as the key technical values of MDM are presented.

While the potential benefits of MDM are clear, actual success depends on a number of factors including an iterative (vs. big bang) approach and a technology infrastructure and licensing model that allows for end-to-end, multi-domain initiatives.

This paper explores the obstacles to a successful MDM project and shows how a new breed of solution is helping organizations overcome the expense, complexity and organizational challenges associated with enterprise-scale MDM.

There are many reasons to implement MDM for employee data. These business cases have been well documented and many projects have benefited from these implementations.

Download this Solution Brief and find out a series of reasons why others have used MDM. For each item, the business value as well as the key technical values of MDM are presented.

There are many reasons to implement MDM for product and ERP data. These business cases have been well documented and many projects have benefited from these implementations.

Download this Solution Brief and find out a series of reasons why others have used MDM. For each item, the business value as well as the key technical values of MDM are presented.

Reference data is the lifeblood of an organization but inconsistencies across business units or systems can lead to inefficient processes and inaccurate analytics. Most organizations understand the importance of consistent reference data but struggle to ensure consistency and to police compliance to a central reference data standard. Master reference data makes operational data more accurate, simplifies synchronization and migration projects and improves effectiveness of MDM.

Creating master reference data can be very simple. Typically, an organization will start small and then grow the master as acceptance spreads throughout the organizations. This white paper presents some key considerations for creating a reference data master.

There are many reasons to implement MDM for customer data. These business cases have been well documented and many projects have benefited from these implementations.

Download this Solution Brief and find out a series of reasons why others have used MDM. For each item, the business value as well as the key technical values of MDM are presented.

The MDM project checklist presents a granular set of functional requirements for implementing and deploying MDM in an enterprise environment. MDM provides a central hub for enterprise master data no matter the disparity of source systems. A successful MDM project requires functions across:

• Data Modeling
• Data Integration
• Data Quality
• Data Stewardship
• Data Governance

*Obtaining a holistic view across the project is paramount.

Master Data Management (MDM) has received growing attention recently as an essential component of information management alongside data governance and data quality. More and more, organizations are turning to Master Data Management as a key enabler in improving the timeliness, quality and reliability of business intelligence with the ultimate goal of improving business performance. Increasing regulatory requirements and the recent financial crisis have ensured that Master Data Management is increasingly finding its way onto the business agenda.

Information Difference conducted a survey of both end-user organizations and systems integrators aimed at gaining deeper insight into MDM implementations and their success factors. This report summarizes and analyzes the results of that survey, and presents practical recommendations on the "do and don't" of MDM. It also contains some enlightening findings on the use of open source and manual coding in MDM projects.

The Information Difference is an analyst firm focusing on Master Data Management (MDM). Its founders are pioneers who helped shape the MDM industry, with in-depth MDM global project experience.

Projects addressing data quality or master data management frequently struggle to get approved by senior management, and only around 60% of such projects proceed with a proper business case - causing high rates of cancellation and failure.

This white paper explains the key elements for building a proper, quantified business case. It presents the measures that are favored by corporate finance departments, and helps develop a strong business case for data quality and MDM projects. A number of real-life examples with quantifiable benefits are also included.

Armed with the materials in this white paper, you will be in a good position to deliver a high quality business case for your data quality or MDM project!

The Information Difference is an analyst firm focusing on Master Data Management (MDM). Its founders are pioneers who helped shape the MDM industry, with in-depth MDM global project experience.

With high-profile data breaches filling the news headlines week after week, and with customers becoming ever more choosy and less loyal, the need for data to be secure, accessible, complete, de-duplicated, consistent and manageable should be greater than ever.

In July 2011 Computing UK conducted a survey to define the usage landscape of Master Data Management and to profile users of this technology.

Find out what are the levers and barriers to the adoption of MDM

Master Data Management has become increasingly important for ensuring the consistency and quality of data across the various parts of the information system. Leveraging its open source solution, Talend is set to democratize the MDM market, which has been dominated by expensive products for large companies.

IAIT performed an in-depth review of Talend MDM Enterprise Edition. They studied what this solution can do in practice and how it performs with regard to daily tasks.

In the Test Lab of IAIT, the Institute for Analysis of IT, Dr. Götz Güttich simulates heterogeneous IT environments of small and medium-sized enterprises, to test hardware and software solutions for the enterprise.

This step-by-step report, created by MDM guru David Loshin and leading research firm TDWI, gives powerful strategies for preparing for your MDM initiative, helping you to anticipate potential roadblocks, improve planning and align your successful data management program across the entire organization

As business solutions evolve to embrace cloud computing, it is only natural that integration solutions must change as well. This white paper presents the key characteristics of cloud computing, the integration challenges this deployment model introduces, four recommendations for what to look for in a solution and five key questions you should ask when considering cloud integration solutions.

As companies merge, acquire new applications and continue to incorporate disparate applications with legacy systems, information systems are becoming more and more heterogeneous. As a result, application integration tools are now a must-have for enterprise IT departments to properly manage the flow of information across the IT infrastructure.

In this context, open source application integration solutions offer a very compelling argument. More and more, organizations are looking to open source vendors as alternatives to high-priced proprietary incumbents. Open source brings significant value-add to the application integration table—high value instead of high price, no vendor lock-in, faster time-to-market and better responsiveness to customers.

To help you evaluate various application integration solutions and technologies available on the market, and to compare the leading open source application integration technology with alternatives, this white paper presents 10 reasons why organizations are choosing open source for application integration.

Until now, ESBs have primarily been the province of only large companies. Gartner estimates that core ESB features are adopted by more than 50% of large organizations, but this pattern is changing, and the mid-market is now expressing faster growth in application integration than large enterprises.

Open source software enables companies to leverage a more open and affordable integration platform to reduce complexity. Download this white paper to learn how organizations like Talend are democratizing the integration market by making the ESB more affordable, accessible and easier to use than ever before.

Information Oriented Architecture Poster and White Paper Available from The Bloor Group

Groundbreaking research conducted in a series of webcasts and roundtables resulted in the creation of a poster that lays out the component technologies for an Information Oriented Architecture and an associated white paper to describe each solution area.

The Bloor Group announces the availability of a groundbreaking web report series, white paper, and technological road map poster on “Enabling the Agile Business with an Information Oriented Architecture.”

The Bloor Group designed the Information Oriented Architecture (IOA), the data-oriented companion to a Service Oriented Architecture (SOA), as an aid for organizations seeking to modernize their information architectures to meet today's data-centric environments.

According to Dr. Robin Bloor, principal analyst with the Bloor Group who authored the study, the need for an effective architecture to manage business intelligence (BI) and BI–related applications has become obvious in recent years. “The dream of a single data warehouse satisfying all data needs is thankfully long dead,” Dr. Bloor said. “However the demand for data services and data integration has not evaporated. Indeed, it has grown to the extent that satisfying this demand with point-to-point data flows is becoming impractical. This more than anything else has established the need for an IOA.”

The new research study resulted in an IOA road map, diagramming the component technologies, and associated white paper offering insights about the various technologies that exist to design, launch and maintain an IOA as well as those that enable the kind of self-service BI that pundits for years have touted as the Holy Grail of informatics.

This report, produced by independent industry research and analyst firm Ovum, reviews the integration options and provides an objective view into the capabilities of the Talend ESB.

This report – written by Massimo Pezzini, Kimihiko Iijima, Paolo Malinverno, Jess Thompson and Yefim V. Natis – singles out emerging vendors that address the application and integration platform markets by providing core enabling and integrated application infrastructure offerings.

In this technical note, Apache CXF contributor Colm O hEigeartaigh provides a walkthrough of how to secure a Web service using WS-Trust in Apache CXF. This technical note walks readers through the WS-Trust sample that ships with Talend ESB. Also, watch the recorded webinar here.

In this technical note, Apache CXF contributor Colm O hEigeartaigh provides a walkthrough of how to secure a Web service using WS-SecurityPolicy/SAML in Apache CXF. Using the WS-SecurityPolicy sample that ships with Talend ESB, this sample shows how to secure a Web service provider using both a UsernameToken and a SAML Assertion. Also, watch the recorded webinar here

While Business Process Management (BPM) has many immediate and long-term benefits, a poor start can jeopardize the overall success of the mission. The steps and guidelines outlined in this white paper will help ensure the success of your organization's BPM implementation while minimizing the possibility of any potential setbacks.