Advanced DeepSee Modeling Guide
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Preface : 
 
 
Chapter 1: 
  1.1 Defining SQL Computed Dimensions
1.1.1 Example Computed Dimensions
1.1.2 Defining a SQL Computed Dimension
1.1.3 A Closer Look at the Example
1.1.4 Variations for spec
1.2 Defining MDX Computed Dimensions
1.2.1 Defining an MDX Computed Dimension
1.2.2 %OnGetComputedMembers()
Chapter 2: 
  2.1 Overview
2.1.1 Shared Dimensions
2.1.2 Compound Cubes
2.2 Defining a Formally Shared Dimension
2.3 Defining an Informally Shared Dimension
2.3.1 Examples
2.4 Defining Compound Cubes
2.4.1 Detail Listings for Compound Cubes
2.4.2 Example Compound Cube
Chapter 3: 
  3.1 Overview of Relationships
3.1.1 A Look at a One-Way Relationship
3.1.2 A Look at a Two-Way Relationship
3.2 Defining a One-Way Relationship
3.3 Defining a Two-Way Relationship
3.4 Building Cubes That Have Relationships
3.4.1 Determining the Build Order for Related Cubes
3.4.2 Errors If You Build Related Cubes in the Wrong Order
3.5 Using Model Browser
3.6 Removing Relationships
Chapter 4: 
  4.1 Overview of iKnow/Cube Integration
4.1.1 iKnow Terminology
4.1.2 About iKnow Measures and Dimensions
4.1.3 Generated iKnow Domains
4.2 Setting Up the Aviation Events Demo
4.2.1 Sample Dashboard
4.2.2 A Closer Look at the Aviation Cubes
4.3 Defining an iKnow Measure
4.3.1 Alternative Technique: Using an Existing iKnow Domain
4.3.2 Alternative Technique: Retrieving Unstructured Text from Elsewhere
4.4 Loading and Updating iKnow Dictionaries
4.4.1 Loading iKnow Dictionaries
4.4.2 Updating iKnow Dictionaries
4.5 Defining an iKnow Entity Dimension
4.6 Defining an iKnow Dictionary Dimension
4.7 Adding Member Overrides to an Item Level
4.8 Adding Measures That Use iKnow Plugins
4.8.1 Adding Measures to Quantify Entity Occurrences
4.8.2 Adding Measures to Quantify Matching Results
4.9 Including iKnow Results in Listings
4.9.1 Including an iKnow Summary Field in a Listing
4.9.2 Including a Link from a Listing to the Full Unstructured Text
4.9.3 Creating a Specialized Listing for Use in iKnow Content Analysis Plugin
4.10 iKnow Domain Management in DeepSee
4.11 Advanced Topics
4.11.1 Specifying iKnow Domain Parameters for a Measure
4.11.2 Loading iKnow Black Lists
4.11.3 Updating iKnow Black Lists
4.12 When iKnow Updates Occur
Chapter 5: 
  5.1 Overview of Term Lists
5.2 Accessing the Term List Manager
5.3 Defining a Term List
5.4 Specifying the Pattern for a Term List
5.5 Exporting and Importing Term Lists
5.5.1 Exporting a Term List
5.5.2 Sample Term List File
5.5.3 Importing a Term List
5.6 Deleting a Term List
5.7 Accessing Term Lists Programmatically
Chapter 6: 
 
Chapter 7: 
  7.1 Overview of Quality Measures
7.2 Introduction to the Quality Measure Manager
7.3 Creating a Quality Measure
7.4 Specifying the Expression for a Quality Measure
7.4.1 Allowed MDX Expressions
7.4.2 How Groups and Elements Are Combined
7.5 Editing Other Information for a Quality Measure
7.6 Defining a Linked Quality Measure (Quality Measure Alias)
7.7 Checking the Expression for a Quality Measure
7.8 Deleting a Quality Measure
Chapter 8: 
  8.1 Introduction to KPIs
8.1.1 Ways to Use KPIs
8.1.2 Comparison to Pivot Tables
8.1.3 Requirements for KPI Queries
8.2 Choosing Between MDX and SQL
8.3 Structure of a KPI Result Set
8.4 Defining a KPI with a Hardcoded Query
8.5 Specifying Class Parameters
8.6 Specifying Ranges and Thresholds for Speedometers
8.7 Disabling the %CONTEXT Filter
Chapter 9: 
  9.1 Introduction to Filters
9.2 Creating Interoperable Filters
9.2.1 Filter Syntax for Pivot Tables
9.2.2 Ways to Create Interoperable Filters
9.3 Defining Filters in an MDX-Based KPI
9.3.1 %OnGetFilterMembers() Details
9.3.2 %GetMembersForFilter() Details
9.4 Defining Filters in an SQL-Based KPI
9.5 Other Options for Defining Filter Names and Items
9.5.1 Specifying the Filter Names at Runtime
9.5.2 Hardcoding the List of Filter Items via the valueList Attribute
9.5.3 Retrieving the List of Filter Items via the sql Attribute
9.5.4 Using Custom Logic to Build the List of Filter Items at Runtime
9.6 Modifying an MDX Query to Use Filter Values
9.6.1 Accessing Filter Values
9.6.2 Converting Filter Values to MDX Expressions for Use in %FILTER
9.6.3 Example
9.7 Modifying an SQL Query to Use Filter Values
9.7.1 %GetSQLForFilter()
9.7.2 SQL KPI Example 1
9.7.3 SQL KPI Example 2
9.8 Additional MDX KPI Examples
9.8.1 DemoMDXAutoFilters KPI
9.8.2 DemoInteroperability KPI
9.9 Defining a Listing for a KPI
9.9.1 Example
Chapter 10: 
  10.1 Defining Manual KPIs
10.1.1 Available Properties
10.1.2 Overriding KPI Properties
10.1.3 Defining a Manual Query
10.2 Defining Cacheable KPIs
10.3 Defining Asynchronous KPIs
Chapter 11: 
  11.1 Introduction
11.1.1 How Plugins Can Be Used
11.1.2 Available Plugin Classes
11.1.3 Samples That Demonstrate Plugins
11.2 Requirements for a Simple Plugin
11.3 Implementing %OnCompute()
11.4 Indicating State of Completion
11.5 Creating a Plugin for Multiple Cubes
11.5.1 Determining the Listing Fields Programmatically
11.6 Filtering the Listing
11.6.1 Example
11.7 Available Error Logging
11.8 Defining a Calculated Member That Uses a Plugin
Chapter 12: 
  12.1 Introduction to Cube Inheritance
12.2 Cube Inheritance and the Architect
12.2.1 Redefining an Inherited Element
12.2.2 Removing an Override
12.2.3 Adding a Local Element
12.3 The %cube Shortcut
12.4 Hiding or Removing Items
12.5 Inheritance and Relationships
Chapter 13: 
  13.1 Defining and Using Intermediate Expressions in Studio
13.1.1 Example
13.2 Defining Intermediate Expressions in Architect
Chapter 14: 
  14.1 Specifying maxFacts in the Cube Definition
14.2 Restricting the Records Used in the Cube
14.2.1 %OnProcessFact() Callback
14.3 Manually Specifying the Members for a Level
14.3.1 XML Reserved Characters
14.4 Adding Custom Indices to the Fact Table
14.5 Customizing Other Cube Callbacks
14.5.1 %OnAfterProcessFact() Callback
14.5.2 %OnGetDefaultListing() Callback
14.5.3 %OnExecuteListing() Callback
14.5.4 %OnAfterBuildCube() Callback
14.6 Filtering a Cube or Subject Area Dynamically
 
Appendix A: 
  A.1 Basic Requirements
A.2 Common Attributes in a KPI or Plugin
A.3 <kpi>
A.4 <property>
A.5 <filter>
A.6 <action>
Appendix B: 
  B.1 Entity Occurrence Cube
B.2 Matching Results Cube