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DM Review |
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According to software industry analyst David S. Linthicum, “Most activity around SOA has been limited to discussion, study, planning and small projects. 2007, however, will witness a significant surge in SOA spending as early adopters evolve proof-of-concept implementations into more robust deployments and late adopters buy into the architectural shift.” |
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| SOA for business intelligence (BI) is following a similar adoption path, moving rapidly from prototypes and single projects to broader, enterprise-wide deployments. In this article, David Besemer, CTO at Composite Software, describes the intersection of Business Intelligence and SOA. Based on customer survey information from Ventana Research as well as technical and organizational considerations, David advocates a data services foundation as the best way to bring business intelligence initiatives into SOA. |
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Composite Software Highlighted in Two Recent Forrester Research Publications
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Forrester Research |
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On April 9, 2007, Forrester Research published “Information Fabric 2.0: Enterprise Information Virtualization Gets Real” by Noel Yuhanna and Mike Gilpin. This report complements March 27 Forrester article by the same authors entitled “Question & Answer | Information-As-A-Service: What’s Behind This Hot New Trend?” Composite was highlighted as a major player in both reports. Forrester clients can obtain these reports directly from Forrester. |
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| Stay tuned for upcoming events that we will be participating in. |
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WEBINAR (On-demand): Data Services: Essential Foundation |
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for SOA Success |
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| Presenters: |
Sandy Rogers, Program Director for SOA, Web Services &
Integration, IDC
Robert Eve, Vice President of Marketing, Composite Software. |
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| As organizations evolve their SOA strategies and deployments, interest in developing a consistent and automated approach to addressing critical information access requirements is accelerating. Creating a data services layer in the architecture and infrastructure can significantly impact efficiency, consistency, and overall governance efforts especially critical to mitigate risk and get the most value out of one’s SOA initiative. |
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White Paper: Understanding the Critical Need for Data Services |
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when Building an SOA |
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| Author: |
| David Linthicum, The Linthicum Group |
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| The base of any SOA is the data, and how it’s both managed and abstracted is critical to the success of any SOA. As you build your SOA, you work up from the base, including existing systems and databases, all information sources and sinks. In a typical environment, backend information systems are not expressed semantically and logically to make them useful for the SOA. Thus, you need a layer of software between the existing set of heterogeneous data stores and applications, and the services that the SOA employs. This is a critical piece of the SOA puzzle, and if neglected, your implementations will fail to provide the proper agility, and thus the value. |
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How do you create a data services layer for your SOA? What is the key enabling technology? And, how does that technology work and play with other key SOA technologies in the stack? This white paper can help answer those questions. |
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As Right-Time Approaches Real-Time, Data Integration is Key |
| Enterprise Systems |
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| Real-time is a data integration problem: it involves getting fresh data to business users as rapidly as possible. When you get right down to it, the real-time/right-time challenge is a data integration problem. It involves getting fresh, actionable data to business users (typically at all levels of an organization) as rapidly as possible. |
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| Not surprisingly, the big data integration players are at the forefront of the real-time/right-time push. One upshot of this is that the data integration powers-that-be have evolved in striking ways over the last half-decade. Or, to put it another way: data integration doesn’t begin and end with ETL anymore. |
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Master Data Management Meets SOA |
| DM Review |
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| The quest towards the modern MDM system and the single (data) version of the truth for SOA enablement entails many challenges and risks. Highest business risks across both types of initiatives include lack of executive support, insufficient business (versus IT) data ownership and inappropriate skills or expertise. From a technical perspective, highest risks include inadequate performance, incorrect security of the exposed enterprise model and poor vendor selection. |
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| Marrying MDM and SOA makes sense and offers vital benefits from both the MDM and the SOA perspective. Expect to see more such paired initiatives and vendors repositioning their products to better cover the joint space. |
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Red Hat Acquires MetaMatrix ... More SOA Consolidation
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| InfoWorld |
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| David Linthicum, leading SOA analyst in this “Real World SOA” blog in InfoWorld, comments on MetaMatrix’s acquisition by Red Hat. David views this event both as a validation of the need for data services capabilities within SOA, in general, and an accelerant for Composite Software, who now holds the clear mantle as best of breed for data services. |
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Future Belongs to SOA |
| Insurance Networking News |
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| The building blocks of service-oriented architecture (SOA) save time and
money – but only when they bring the benefit of re-use. SOA refers to a
way of thinking nearly as old as computing itself and bound to remain
relevant far into the future. It’s all about creating services that save
time and money because applications developers can re-use them – often on
mainframes. |
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| For the insurance industry SOA means more than services. People with a SOA mindset value the mainframe computer and the intellectual property built up on mainframes over the years as a valuable asset, a critical component of services-oriented architecture and a vital part of the technology stack. |
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