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by Danielle Grilli According to Eric Newcomer and Greg Lomow, authors of Understanding SOA with Web Services, service oriented architecture is “an architectural style that guides all aspects of creating and using business processes, packaged as services, throughout their lifecycle, as well as defining and provisioning the IT infrastructure that allows different applications to exchange data...
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PowerPoint Author: Mehmet Orun, MBA, CDMP PowerPoint Overview: Reference Data Management is critical to success of Master Data Management, Data Warehousing, or SOA integration. Traditional RDM efforts by data architects are limited to Data Domain values in data models and mapping tables for integration (ETL, ESB…) developers This presentation provides an enterprise-wide view of...
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by John Ladley Part of the EDJ mission is research. This includes surveys as to who is doing what and whether or not they are having any success. Our survey for SOA was sent to our Best Practices Council, a growing body of technology users and beneficiaries. Below is our detailed presentation of the findings,...
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by Joe LaFeir Service oriented architecture concepts have gained significant traction in IT environments during the past several years. When applied effectively, these concepts hold the promise of more flexible development and operational environments, and significant opportunities for improved software reuse and overall IT productivity. Many of the implementations of SOA to date have been...
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by Ken Karacsony One of the great promises of service oriented architecture is to ameliorate data integration challenges faced by many organizations struggling to integrate disparate technologies and systems. While adopting SOA can be extremely advantageous in easing data integration woes, it is important to understand that SOA is not a replacement for fundamental information...
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by Andrew Flower When I sat down to write this article on service oriented data warehousing (SODW), I had to reflect on the work and struggles I have had in data warehousing and data integration, the people I had learned from, and some of the failures trying to push these concepts before they were technically...
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by Doug Stacey If you are anything like me, as a data professional you’ve experienced many frustrations in your career due primarily to things that have occurred or choices that were made long before you were around (over which you had no influence and with which you must now live). However, with the recent...
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by James Bean Integration solutions are often classified as Enterprise Application Integration (EAI). However, if we think deeply about the examples previously provided, I suggest that this is an incorrect classification. The problem is less about the applications and more about sharing and reusing the underlying data. While some business unit specific applications may be...
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by Calla Knopman This article will examine Data Integration as an enterprise service, specifically covering: the definition of data integration provided to the enterprise as a service; tool utilization and consolidation; cost benefits and analysis; and how to build a business case. A typical Data Integration project might start off with analysis of tools and...
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by John Ladley Like other sophomore efforts, we are benefiting from lessons learned from our first issue. Most notably we are delighted at the response of readers willing to participate in the collection of pertinent data. In general we were well received, but at the same time, we are addressing any critiques that provided positive...
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