Have you seen this IBM Press book that published earlier this year? . See also Kate's blog for more information on certification and training programs. .. Enterprise Master Data Management: An SOA Approach to Managing Core Information.
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- MDM and SOA: Be Warned!
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- Introduction to enterprise master data management
We also explore, through various case studies, how to apply your newly gained knowledge to real-world Content Manager system implementation and practices. This Redbook will also help IT architects, specialists, project managers, and decision makers identify the best high availability and disaster recovery strategies and integrate them into the Content Manager solution design process. We begin with an introduction of the basic concepts of backup and recovery, high availability, disaster recovery, and business continuity.
Although not all the platforms and databases are covered here, many of the principals and methodologies are applicable across platforms and databases. It is aimed at architects, designers, and system administrators of Content Manager systems. It is aimed at architects, designers, developers, and system administrators of Content Manager systems. It covers the basic concepts needed to design and implement a Content Manager solution.
This includes topics on data modeling, workflow, text indexing and search, application development, query language, security, and Tivoli Storage Manager TSM overview. In addition, we cover the solution implementation process from planning and designing, to deployment. To put concepts into real practice, we provide practical case studies to demonstrate how to implement a Content Manager solution for real-world scenarios. Document Manager provides a secure and robust platform to manage the complete life cycle of business documents. It helps ensure accurate and up-to-date documents are available on demand.
MDM and SOA: Be Warned!
If you are interested in Content Management Order your copy now This new book is essentially an update to the very successful book that was published to support DB2 V8: This book will join the series of V9 study guides published by MC Press. These books are very successful and are excellent resources to prepare people for the V9 cert exams. Roger Sanders teamed with Dwaine Snow Roger with his amazing writing skill and the creator of the study guide format that you will recognize throughout his books Of course there are no reviews of the new book yet Susan [ Read More ].
A podcast that I recorded recently Thanks to Bob Bernard for providing this comprehensive list of Data Studio websites that I can pass on to you. First of all, what is Data Studio? Data Studio provides a comprehensive suite of integrated tools for development database administrators and application developers. The tooling for each of these roles is essentially divided between two main views in the Data Perspective: There are also features to help team members share resources.
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Roger Sanders or Susan Lawson. I'm putting together a list of books to suggest to the bookseller, Breakpoint books. In creating this list, I'm trying to ensure that you have the latest books with the highest ratings. If there is a book that you'd like to suggest that I add to my list, let me know. I will be located at the bookstore for the week, or right next to it, at the Skills Hub. We encourage people to come and ask questions, browse the books, talk to us about your particular needs, and if possible, pick up a freebie or two.
I don't know if I have a complete list yet, but here's what I was able to pull together from the Advance Program: Looking forward to seeing you! Here are a few of the headlines that I've noticed: Once a company is no longer in a position to provide a consistent and consolidated view of its central business objects, implementing a company-wide policy for master data management becomes a good idea. Unfortunately, in many companies today it is common for IT systems to be unable to keep up with fast changes in organization, business, and even technology. As a result, on the companies' side, a vast, ever-growing web of IT systems with known integration problems comes into being.
This heterogeneity accounts for a variety of challenges when using master data that include differences in:. The result of these problems is inconsistent information about underlying business objects, the master data. As we have already mentioned, data is essential input for all processes. If this source of information runs dry or costs for the interaction based on the data become too high, the value of the information becomes questionable and the company becomes faced with serious concerns.
In general use of the IT language, there is a common, basic understanding of master data and its importance for the company and the IT systems concerned. Master data form the basis of all business activities in a company and its business processes. Master data describe the basic business objects of a company, and should therefore be considered as a company's "virtual capital" [REF-2]. In his presentation at the 7th Stuttgarter Softwaretechnik Forum in September , Professor Dieter Spath even claimed that information, and therefore also the master data, should be considered assets similar to a company's equipment and be subject to asset management [REF-3].
MDM organizes how the master data is handled, something that every company needs in order to carry out its business processes. This article uses the following definitions:. MDM is implemented, in-line with the definition, company-wide. For this to work, companies reassess the business processes and IT systems with regard to the changed use of the master data. Furthermore, the initiatives and projects of MDM itself are monitored and controlled via a management system. Finally, the strategy for the MDM is embedded into the general company strategy, and thereby contributes indirectly to improving added value.
IT provides an infrastructure for this business transformation and plays a part in the MDM development plan, although control and initiation should be conducted through business. Generally, reference frameworks are used for structuring and communicating complex correlations. The reference framework presented here structures the essential elements of the MDM development plan and subsequently serves as the framework for the procedure. The following explanations are based on business engineering, an approach that was developed by the Institute of Information Management at the University of St.
Within its reference framework, business engineering considers three levels: These areas have to be designed to successfully execute a business transformation in general, and therefore also within the framework Figure 1 of the planning and performance of the MDM development plan [REF-9]. The instruments for formulating the vision and strategy are used in most cases to communicate and control medium or long-term development plans with organizational changes.
This concept conveys the purpose of the MDM, explains the reasons for the change, outlines the goals, and describes guidelines for its use. It must be ensured that the MDM concept does not contradict the established company goals. The operationalization at an abstract level stems from this vision, through the formulation of the strategy with initiatives for the MDM.
The strategy specifies the fields of activity and mirrors the wishes and ideals of specific decision-makers.
In connection with the vision, the strategy describes the expectations of the future situation. Finally, as part of the MDM strategy, the road map and milestones are developed and initiatives for the accompanying change management are defined. The MDM development plan is a subject that embraces the whole company. MDM activities, processes, functionality, and structures must be coordinated across the different business areas of a company. To achieve this, the MDM requires a management system and process and structural organization to sustainably guarantee its success.
The MDM requirements defined in the functional architecture form the basis for designing the process, structural organization, and the necessary IT support. It determines the point of departure for establishing the MDM, defines the processes and organization, and matches the assignment of key data to the processes. At the heart is the adaptation of the existing process organization required for use as part of the MDM.
The standards and parameters associated with the master data must be integrated into the company's operating and recurring work cycles.
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On the one hand, this affects the operating core processes and their activities, which users perform as part of their line function or roles. On the other hand, MDM-specific administrative processes and data governance must be implemented to ensure operational capability and continuous improvements in how master data are used. A suitable structural organization forms the basis for processes. Employees are hierarchically included in the structural organization, according to their roles in the processes. This may be in their original line function or in a business reporting line, such as in the form of a matrix organization.
The functional architecture structures the business requirements for the MDM, and acts as a basis for architecture decisions and the planning of necessary MDM processes and IT components. As a business transformation, MDM pursues the goal of implementing master data management across the company. To enable this at justifiable operating costs, IT must support the process.
This applies, on the one hand, to the manually supported processes of the MDM itself, and, on the other, to the automated processes of data processing and distribution. For this, a clear system architecture that includes the interdependencies of the systems is necessary. The system architecture for the MDM describes both the current situation and the planned target architecture.
If the enterprise architecture approaches are followed [REF], the following results are meaningful for the MDM development plan:. The design areas include the application architecture with the necessary MDM-specific systems, supporting IT components, the integration architecture for master data logistics, and the underlying system infrastructure. The application systems and candidates for MDM are checked to ensure they provide the functionalities, and assessed with appropriate criteria.
The application and integration components are based on an infrastructure platform that is considered separately from the infrastructure architecture. The information architecture performs a special role with MDM. The information architecture describes the master data objects, associations, and their attributes, in addition to cross-company information flows flow of values and commodities. The importance of the MDM's data and metadata means that this must be anchored as a design area within the framework [REF]. The information architecture models support the other design areas:.
In the meantime, the organization and execution of an MDM development plan in the form of a program represents a best practice approach:. It is largely because of these issues that MDM should be considered as a program and not as a project or an application" [REF]. From this point forward, this article limits itself to considering the system architecture and the technical aspects of using SOA and MDM. This promotes component reuse and makes it simpler and more flexible to use them to support new functionalities or processes [REF].
MDM should be based on service-oriented concepts and provide universal components or services for consistent data maintenance and retrieval of master data. There are two different views supported by this claim:. Accessing master data objects such as products, customers, or business partners is necessary throughout all areas of the company, and thereby across the function and management areas: This opinion is also held by the Masons of SOA, who regard accesses to master data objects as "business entity services," and highlight that master data services amount to a considerable proportion of the developed services in SOA [REF 15].
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In the future, central master data systems which offer services for accessing global master data objects will play an even more important role in application architectures" [REF]. Figure 2 demonstrates the transformation from uncontrolled to controlled management of master data:. Establishing an SOA in the company increases the frequency of the use of central master data services, and thereby implicitly their reuse.
Establishing central, managed services for accessing and processing data is therefore a sensible next step. Performing a service decomposition leads to the discovery that, as part of the reusable services, services that undertake central tasks for managing the lifecycle of master data across the service domains are also required. In this context, typical difficulties with managing and maintaining the master data are also encountered at the data access level, even independently from an MDM development plan.
Service decomposition requires central master data services. The underlying idea is very simple. A facade which delegates access to the IaaS is used so that single applications or services do not have to individually implement access to the data. The review must be at least 50 characters long. The title should be at least 4 characters long.
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Introduction to enterprise master data management
Chi ama i libri sceglie Kobo e inMondadori. Available in Russia Shop from Russia to buy this item. Or, get it for Kobo Super Points! The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management MDM , organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage.
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