
MDM, Données
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Introduction
The information perspective of SOA design, Part 4: The value of applying the canonical modeling pattern in SOA
I recently attended the second annual “Canonical Model Management Forum” at the Washington Plaza Hotel in Washington, DC (see here for my post about last year’s, first meeting, including Forrester’s definition of canonical modeling). Enterprise or information architects from a number of government agencies as well as several of the major banks, insurance companies, retailers, credit-card operators, and other private-sector firms attended the meeting.
Canonical Information Modeling - A Best Practice For SOA?
How can services be designed to avoid data model transformation? Problem
SOA Patterns - Canonical Schema
Paging in Service Oriented Architectures We had an interesting Email thread a couple weeks ago about how you support pages of output to a UI in a Service Oriented Architecture.
Paging in Service Oriented Architectures - Have Data Will Travel
Sorting SOA fact from fiction
Sorting SOA fact from fiction 7 truths about service-oriented architecture that savvy leaders can take to the bank By Alan Joch Feb 12, 2007 With the exception of the World Wide Web’s ascent a decade ago, few recent technology movements have received as much attention as service-oriented architecture.NoSQL, NewSQL and Beyond
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Products > MDM
Efficient and DYNAMIC Server-Side Paging with SQL Server 2000
( UPDATE: If you are using SQL Server 2005 or above, there is a much easier and more efficient way to page your data.)Overview When creating services using SOA-based architectural styles combining industry specific common information models (CIM), there is a need to extend the CIM. This is because the CIM is abstract and in most cases unsuited for direct implementation thus requiring extensions at attribute, object, relationship, operation, interface levels, etc.
Shades of common information model in SOA-based integration environments
Introduction An MDM solution enables an enterprise to govern, create, maintain, use, and analyze consistent, complete, contextual, and accurate master data information for all stakeholders, such as line of business systems, data warehouses, and trading partners. It provides a customizable framework of components that control the lifecycle management of master data, quality and integrity of the data, and stateless services to control the consumption and distribution of data.
Information service patterns, Part 4: Master Data Management architecture patterns
By Greg Hamilton

