SeameNow的专栏

在DMN中，所有的decision logic都是用boxed expression展现的。Clause 7.2介绍了boxed expression的概念并且定义了两个简单类：boxed literal expressions 和boxed invacations。Clause 8 中定义的decision tables就是一种非常重要的boxed expression。此章节通过定义其他种类的boxed expression，完善了decision logic的图形符号（graphical notation）。 Box中的表达式都是FEEL表达式。FEEL是Friendly Enough Expression Language的缩写

决策表是一种用来表述 DRD 中 Decision 决策逻辑的方式。决策表是用表格形式表示一组相 关联的输入和输出表达式，组织成规则，说明一组特定的输入项所适用的输出项。决策表 包含所有（仅）用于确定输出的输入项。此外，一个完整的表包含输入值（所有的规则） 的所有可能组合。 使用决策表和表层次结构在表现决策逻辑时有较好效果。规范化不同形式和类型决策表是 DMN 的目的之一。

上一章节介绍了决策模型的决策依赖层：一个或多个DRD组成一个DRG，可用于对一个领域的决策结构进行建模。然而，每个决策如何从输入得到结果的细节必须建立在决策逻辑层之上。本章节介绍了决策逻辑与决策依赖之间作用（DRG元素）的原理。决策逻辑的具体表现会在：决策表、S-FEEL和FEEL表达式章节详细介绍。

DMN的主要目标是提供一个让业务人员容易理解的公共标记，从业务分析人员需要创建最初的决策需求到更细节的决策模型，再到技术人员负责自动化决策编程，最终到业务人员管理和监控这些决策。DMN将业务决策设计到决策实现创建了一个标准的桥梁。DMN标记是沿着BPMN标准设计的业务过程标记。 另一个目标是确保决策模型是可以通过XML跨组织交换的。

本文档是关于 RuleML 1.0 的入门（Rule Markup Language，他也是一种规则建模语言 Rule Modeling Language 或叫做 规则元逻辑 Rule MetaLogic）。RuleML 被用于在 web 上共享和 发布基于 XML 的规则。 RuleML 构成一个分层的规则子语言（rule sublanguages）家族， 本入门的焦点主要集中在 Datalog 和 Horn logic。这些子语言的 XML 可以通过 OrdLab trees 可视化的呈现，例如：商业策略领域、折扣策略等。

通过flash的方式给你呈现出每种工作流运行的模式 非常生动

Contents at a Glance Introduction....................................................................................................1 Part 1: Introduction to Analysis Services 1 Introduction to OLAP and Its Role in Business Intelligence.........................7 2 Multidimensional Space...............................................................................17 3 Client/Server Architecture and Multidimensional Databases: An Overview27 Part 2: Creating Multidimensional Models 4 Conceptual Data Model................................................................................37 5 Dimensions in the Conceptual Model.........................................................43 6 Cubes and Multidimensional Analysis.........................................................63 7 Measures and Multidimensional Analysis....................................................75 8 Advanced Modeling......................................................................................91 9 Multidimensional Models and Business Intelligence Development Studio...................................................................................109 Part 3 Using MDX To Analyze Data 10 MDX Concepts............................................................................................139 11 Advanced MDX...........................................................................................161 12 Cube-Based MDX Calculations...................................................................189 13 Dimension-Based MDX Calculations.........................................................221 14 Extending MDX with Stored Procedures....................................................237 15 Key Performance Indicators, Actions, and the DRILLTHROUGH Statement.......................................................................261 16 Writing Data into Analysis Services...........................................................291 Part 4 Creating a Data Warehouse 17 Loading Data from a Relational Database..................................................307 18 DSVs and Object Bindings..........................................................................317 19 Multidimensional Models and Relational Database Schemas...................329Part 5 Bringing Data into Analysis Services 20 The Physical Data Model............................................................................345 21 Dimension and Partition Processing..........................................................377 22 Using SQL Server Integration Services to Load Data.................................407 23 Aggregation Design and Usage-Based Optimization..................................417 24 Proactive Caching and Real-Time Updates................................................435 25 Building Scalable Analysis Services Applications.......................................451 Part 6 Analysis Server Architecture 26 Server Architecture and Command Execution...........................................477 27 Memory Management................................................................................503 28 Thread Management...................................................................................521 29 Architecture of Query Execution—Calculating MDX Expressions............527 30 Architecture of Query Execution—Retrieving Data from Storage.............553 Part 7 Accessing Data in Analysis Services 31 Client/Server Architecture and Data Access...............................................569 32 XML for Analysis........................................................................................579 33 ADOMD.NET...............................................................................................599 34 Analysis Management Objects....................................................................669 Part 8 Security 35 Security Model for Analysis Services..........................................................713 36 Securing Dimension Data...........................................................................731 37 Securing Cell Values....................................................................................751 Part 9 Management 38 Using Trace to Monitor and Audit Analysis Services.................................763 39 Backup and Restore Operations..................................................................787 40 Deployment Strategies................................................................................805 41 Resource Monitoring...................................................................................815 Index...........................................................................................................823