togaf data architecture

Vision (Architecture vision) are described here in detail, making them useful inputs for technical analysis. Business process modeling, business goal modeling, and use case modeling are some of the techniques used to generate business architectures, which in turn include gap analysis of the desired state. Phase C involves the delivery of applications and data (information) architectures. This phase leverag

assessment in specific migration scenarios.1.6.2 Method In the activities of the current phase, the architecture team should consider whether there are available resources related to the technical architecture in the architecture resource library, especially the following resources: Existing IT services recorded in the IT resource library or IT service catalog

be defined. At the same time, brief enterprise business information requirements and enterprise architecture work strategies related to them will also be defined. Formulation principles: The Architecture Principles formulated at this stage will become an important part of future content used to constrain the architecture. Clear organization management framewor

1.4 Information System Architecture-Data) Stages of enterprise architecture development methods-Information System Architecture The construction of the information system architecture focuses on clearly supporting various data an

ArticleDirectory Toing between togaf stage and archimate Layer Togaf and archimate differences Archimate extensions InEnterprise Architecture framework-togaf v0.1.pdfThis section describes some knowledge about togaf, an industry-renowned enterprise

Document directory Combination of product architecture and Enterprise Architecture Baseline-based iterative development process Iteration stage and main deliverables R1. Market Requirement documents R3. Gap Analysis 01. enterprise scope 02. Architecture Team 03. Architecture Principles A1. stakeholder analys

Java from junior programmer to architect video, document, architecture design, large Web site architecture analysis, big Data analysis data, build high concurrency, high-powered architecture design materials need to contact me. Many catalogs are not listed (there are many ca

process that cannot be strode across. With a lot of scaffolding support, so that the system slowly over to the new SOA architecture, since the implementation of the SOA architecture, it is important to the business logic of the migration of the appropriate collation, what business logic should be put into the "business services", what logic should be placed on the code level "Composite Services", There is

operation.This certainly depends on the project you are facing, the quantitative change caused by qualitative change, if you have all the amount of up, the "compensation" scheme is not practical, and it is difficult to "compensate" at the data level. In short, this is not a medium-to long-term solution.5.3. Asynchronous EDA (Implementation of flexible distributed transactions based on asynchronous event streams)EDA is referred to as "event-driven

Following the "0 start deployment of large data virtualization" series of tutorials, the spirit of "know it, but also know why" principle, this series into the large data virtualization inside, divided into two posts to help readers understand vsphere Big data Extensions (hereinafter referred to as BDE) the deployment archite