Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ dre n A Index to e ns b a y ov l r O tr n no ฺ a s de a i h u ) u tG r ฺ n x e nbo Stud i d@ this n a o use (sc era f s n ce i l le A Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Adding a Current Field 9-26 Adding a date stamp 7-30 Adding a New Record 4-42, 9-25 Adding keys to data 7-31 Additional Metadata Content and Considerations 11-24, 11-25 Advantages of Using a Star Dimensional Model 4-29 Advantages of Warehouse Processing Environments 2-15 Analyzing Data from Operational Systems 2-6 and Cost 2-22, 3-8, 6-2, 6-5, 6-6, 6-33, 7-26, 7-41 and Loading (ETL) 2-19, 3-18, 3-20, 3-32, 3-35, 4-15, 6-2, 6-3, 6-4, 6-15, 6-33, 9-6, 11-6, 11-17, 12-8 and Loading (ETL) Process 3-18, 4-15, 6-2, 6-3, 6-4, 6-15, ble a r fe 6-33, 9-6 s n tra and Message Queuing 6-30, 6-31 n no ฺ and Physical Data Models 3-42, 3-43, 12-6 a s de a i and solutions 1-33, 4-64, 4-65, 6-36, 7-9 h u ) u tG r ฺ n Appendixes in the Course 1-15 x e nbo Stud Applying the Changes to Data i9-23 is d@ n Architectural Requirements 4-55th a o use c2-14, s Architecture 2-13, 2-19, 2-54, 3-28, 3-29, 3-31, 3-32, 3-34, ( v o rl3-39, 3-42, 3-43, 4-52, 4-55, 4-56, 5-4, 5-30, 5-37, 5-39, 3-38, O ey9-42, 12-2, 12-3, 12-8, 12-9, 12-13, 12-15, 12-18 r d An Archive Data 6-10 Attributes 2-34, 2-45, 2-46, 2-47, 2-56, 2-57, 2-59, 2-62, 3-8, 3-35, 4-16, 4-17, 4-19, 4-25, 4-32, 4-39, 4-40, 4-42, 4-44, 4-50, 4-53, 4-54, 4-58, 4-60, 4-62, 5-15, 5-23, 5-44, 5-45, 5-49, 5-50, 6-14, 7-15, 8-23, 9-26, 10-30, 12-7, D-26 Attributes and Levels: Examples 2-46 Available Refresh Modes When Creating a Materialized View 10-16 B B-Tree Index 5-18, 5-19, 5-20, 5-22, 5-51 Benefits of Partitioning 5-12, 5-13 “Big Bang” Approach 3-25, 3-26, 3-27, 3-28 Bitmap Index: Example 5-20, 5-21 Oracle Database 11g: Data Warehousing Fundamentals Index - 2 lice to e ns B Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Bitmap Indexes 5-19, 5-20, 5-21, 5-22, 5-26, 5-27, 5-51, 8-30, 12-8 Bottom-Up Approach 3-29 Building the Loading Process 8-12 Business Drivers for Data Warehouses 2-2, 2-24, 2-60 Business Intelligence: Definition and Purpose 2-16 Business Intelligence: Requirements 2-25 Business Metadata Elements 4-17 Business Requirements Drive the Design Process 4-10 C Capturing Changed Data for Refresh 9-12, 9-13 ce i l Changing Warehouse Data 3-12 ble a r fe Choosing a Method for Change Data Capture 9-14 s n tra Choosing a transformation point 7-37 n o Choosing Metadata Tools and Techniques 11-18 a n eฺ s d a i u Choosing the Metadata Location 11-20 ) h G u t r n Class Account Information 1-14 oxฺ e d b tu inIndexesS5-22 Comparing B-Tree and Bitmap @ s dInstances hi9-12, 9-13, 9-16 n t a Comparison of Database e co us s ( Conditions Required for Oracle to Rewrite a Query 10-23 ov l r Cost-Based y O Query Rewrite Process 10-22 e r ndCreating a Materialized View Using the CREATE SQL Statement: Example 10-15 to e ns A Creating Derived Keys 8-31, 8-32 Creating Schema Objects 1-19 Creating summary data 7-32 Creating the Business Model 4-7, 4-9 D Data Drilling 4-49 Data Extract Processing 2-8 Data Granularity 6-26, 8-12, 8-13, 11-8 Data Mart (dm) schema 1-11 Data ownership and responsibilities 7-35 Data Partitioning 4-52, 4-57, 5-10, 5-11, 5-12, 5-15 Oracle Database 11g: Data Warehousing Fundamentals Index - 3 D Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Data Quality 2-11, 2-22, 2-48, 2-49, 3-39, 3-41, 6-22, 6-26, 7-19, 7-23, 7-24, 7-25, 7-26, 7-27, 11-32, 12-3, 12-9 Data quality guidelines 7-26 Data Quality Issues with Extract Processing 2-11 Data Refresh Models: Extract Processing Environment 8-10 Data Refresh Models: Warehouse Processing Environment 8-11 Data Warehouse Architecture 3-31, 3-38, 4-55, 12-8, 12-13, 12-15 Data Warehouse Modeling Issues 4-4, 4-5 Data Warehouse Properties 3-6 Data Warehouse Schemas 4-26 Data Warehouse Versus OLTP 3-13 Data Warehouse: Definition 3-4, 3-5 ble a r Data Warehousing and Business Intelligence 1-5, 2-3, 2-4, 2-12, sfe n a r t 2-20, 2-22, 2-30, 11-26 no n Data Warehousing Process Components 3-32 a eฺ s d a i Data Warehousing Tools Used in this Course h Gu ) u r 1-20 ฺ nt x e o d Database Triggers 7-30, 9-12,i9-13, tu9-18, 9-35, 9-42 nb 9-17, S @ s dHierarchies Defining Dimensions and hi 10-32 n t a e co Using Defining External Tables us SQL*Loader 8-25 s ( ov Goals and Intended Usage 11-16 l Defining Metadata r y OWarehouse Metadata 11-3, 11-4 Defining e r d An Degree of Parallelism (DOP) 5-31 Dependent Data Mart 2-48, 3-2, 3-15, 3-18, 3-19, 3-44, 7-15, 8-15, 8-34, 9-14 Designing Extraction Processes 6-22, 6-23 Designing transformation processes 7-39 Determining Granularity 4-9, 4-14 Determining Which Materialized View to Create 10-14 Developing a Metadata Strategy 11-15 Developing a Refresh Strategy for Capturing Changed Data 9-4 Dimension Example 10-31 Dimension Table Characteristics 4-39 Oracle Database 11g: Data Warehousing Fundamentals Index - 4 lice to e ns D Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Dimensional 1-8, 2-2, 2-3, 2-7, 2-25, 2-30, 2-31, 2-32, 2-33, 2-34, 2-35, 2-36, 2-37, 2-39, 2-41, 2-47, 2-48, 2-51, 2-52, 2-53, 2-54, 2-59, 3-39, 4-1, 4-2, 4-3, 4-4, 4-6, 4-15, 4-24, 4-25, 4-26, 4-28, 4-29, 4-31, 4-34, 4-39, 4-41, 4-52, 4-53, 4-54, 4-59, 4-63, 5-2, 6-35, 8-9, 10-27, 10-28, 10-29, 10-30, 11-28, 12-6, 12-7 Dimensional Model Summarized 2-47 Dimensions 2-31, 2-34, 2-35, 2-37, 2-38, 2-39, 2-40, 2-41, 2-44, 2-45, 2-46, 2-47, 2-53, 2-59, 2-61, 2-62, 4-6, 4-8, 4-11, 4-12, 4-13, 4-14, 4-17, 4-21, 4-25, 4-27, 4-28, 4-29, 4-31, 4-34, 4-35, 4-38, 4-39, 4-40, 4-41, 4-42, 4-44, 4-48, 4-49, 4-50, 4-60, 4-61, se n 4-62, 4-64, 4-65, 5-5, 5-7, 5-39, 6-27, 7-30, 9-25, 9-27, 9-30, e ic l e l 9-33, 10-2, 10-3, 10-6, 10-23, 10-26, 10-27, 10-28, 10-29, 10-30, 10-31, rab 10-32, 10-33, 10-34, 10-35, 10-38, 11-11, 11-23, 12-6, 12-7 sfe n a r t Dimensions and Hierarchies 10-6, 10-29, 10-30, 10-32 no n Dimensions with Multiple Hierarchies 10-33 a eฺ s d a i Documenting Metadata 4-7, 4-9, 4-16 h u ) u tG r ฺ n x E e bo tud n i Early Management Information @ Systems is S 2-5, 3-2 d h n t a 7-15se Element names problem o c u 11-12 (s Context End-User Metadata: v lo Statements Using Oracle SQL*Plus 1-17 rSQL Entering O ey r Estimating the Database Size 5-5 d An ETL Considerations 12-9 ETL: Tasks 6-5, 6-6 Evolution of BI 2-4 Exadata Key Benefits for Data Warehousing 5-39 Exadata Storage Deployment 5-37, 5-38 Examining Data Sources 6-3, 6-8, 6-15 Examining Metadata: End-User Metadata 11-11 Examining Metadata: ETL Metadata 11-7 Example of Defining External Tables 8-24 Example of Dimensions in a Report 2-38 External Data 2-11, 2-12, 3-18, 3-19, 3-20, 4-46, 4-48, 6-8, 6-12, 6-13, 6-32, 7-20, 8-21, 8-22, 8-23, 8-24 Oracle Database 11g: Data Warehousing Fundamentals Index - 5 to E Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Extracting Data 1-8, 6-1, 6-4, 6-7, 6-35, 8-2, 8-5, 8-6, 9-14, 12-9, 12-16 Extraction 2-11, 2-19, 2-57, 3-18, 3-20, 3-28, 3-29, 3-32, 3-35, 4-15, 4-36, 4-44, 4-46, 6-2, 6-3, 6-4, 6-6, 6-7, 6-15, 6-16, 6-17, 6-18, 6-20, 6-21, 6-22, 6-23, 6-24, 6-25, 6-28, 6-33, 6-35, 7-5, 7-32, 7-33, 7-35, 8-2, 8-4, 8-5, 8-6, 8-8, 8-9, 8-16, 8-21, 8-24, 8-37, 9-6, 9-19, 9-43, 11-3, 11-6, 11-8, 11-17, 11-27, 11-32, 12-8, 12-9 Extraction Metadata 6-24, 11-8 to e ns Extraction Methods 6-16, 6-17 Extraction Techniques 6-2, 6-3, 6-15, 6-21, 6-33, 12-9 ce i l le b F Fact Table Characteristics 4-34 Fact Table Measures 4-38 Filtering Data 8-34 Final Tasks 9-2, 9-3, 9-22, 9-37, 9-40 era f s n tra n no ฺ a s de a i h u ) u tG r ฺ n x e H nbo Stud i Hierarchy 2-40, 2-41, 2-42, 2-43, 2-44, is 2-46, 4-5, 4-14, 4-29, d@ h n t a e 10-30, 10-31, 10-32, 10-33, 12-7, C-7, 4-30, 4-48, 4-49, co 4-62,us10-28, s ( C-27 lov r O Hierarchy y Types 2-44 e r d An Hierarchy: Example 2-42 Historic Context of Data 11-13 HP Oracle Exadata Storage Server Hardware 5-36 I Identify Hierarchies for Dimensions 4-48 Identifying Base and Derived Measures 4-36, 4-37 Identifying Business Definitions and Rules 4-15 Identifying Business Measures and Dimensions 4-12, 4-13 Identifying Hierarchies for Dimensions 4-48 Identifying Target Metadata Users 11-17 Oracle Database 11g: Data Warehousing Fundamentals Index - 6 I Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Implementation 1-6, 1-9, 1-25, 2-50, 3-15, 3-17, 3-20, 3-25, 3-26, 3-28, 3-31, 3-32, 3-33, 3-36, 4-6, 4-7, 4-9, 4-20, 4-52, 4-56, 5-4, 5-10, 5-45, 6-6, 6-10, 6-27, 6-29, 7-4, 7-7, 7-23, 7-26, 7-30, 7-34, 8-8, 8-15, 8-16, 8-23, 8-24, 9-4, 9-15, 9-37, 10-2, 10-6, 10-27, 10-29, 10-35, 11-3, 11-15, 11-21, 11-26, 11-32, 12-1, 12-2, 12-3, 12-4, 12-8, 12-9, 12-12, 12-14, 12-15, 12-16, 12-18 Importance 2-57, 5-2, 5-48, 6-2, 6-5, 6-6, 6-26, 6-29, 6-33, 7-2, 7-3, 7-23, 7-28, 7-49, 10-36, 10-37, 11-21 Importance and Benefits 7-23 In a separate staging area 7-36 Independent Data Mart 3-2, 3-19, 3-44, 7-15 Indexing 2-13, 2-14, 4-6, 4-52, 4-53, 4-57, 5-2, 5-3, 5-5, ble a r 5-6, 5-7, 5-9, 5-11, 5-17, 5-18, 5-22, 5-28, 5-29, 5-48, 5-49, sfe n a r t 5-50, 8-8, 8-29, 8-30, 9-11, 10-10, 12-10 no n Indexing and Sorting Data 8-29 a eฺ s d a i Initial Load and Refresh 8-8, 8-9 h Gu ) u r ฺ 2-50, e2-51, nt 2-55, 2-57, Integrated 2-19, 2-22, 2-25, 2-26, 2-28, x o d u 3-34, 3-42, 3-43, nb 3-23,St3-31, i 3-4, 3-6, 3-8, 3-9, 3-14, 3-21, @ s d 6-4, t6-29, hi 6-30, 7-12, 8-4, 11-22, 11-32, n 3-46, 4-23, 4-55,a4-61, e o us cC-4 s 12-14, 12-16, ( v oMultiple l r Integrating Sets of Metadata 11-22 O y re Data 3-14, 6-11, 6-13, 7-7 dInternal n A Introducing the Case Study: Roy Independent School District (RISD) 3-42, 3-43 Issues with Data Extract Programs 2-9 Oracle Database 11g: Data Warehousing Fundamentals Index - 7 lice to e ns L Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Level 1-3, 1-13, 2-7, 2-11, 2-12, 2-16, 2-17, 2-26, 2-31, 2-33, 2-34, 2-36, 2-41, 2-42, 2-43, 2-44, 2-45, 2-46, 2-47, 2-48, 2-55, 2-59, 2-62, 3-5, 3-8, 3-9, 3-11, 3-14, 3-28, 3-34, 3-40, 3-42, 4-2, 4-8, 4-11, 4-12, 4-14, 4-17, 4-20, 4-23, 4-27, 4-29, 4-30, 4-31, 4-38, 4-46, 4-47, 4-49, 4-61, 5-2, 5-5, 5-7, 5-13, 5-15, 5-18, 5-20, 5-22, 5-30, 5-35, 5-37, 5-42, 5-43, 5-45, 6-20, 6-31, 7-18, 7-24, 7-26, 7-29, 7-30, 7-35, 8-13, 8-33, 9-18, 9-35, 9-37, 9-38, 10-6, 10-23, 10-28, 10-30, 10-31, 10-32, 10-33, 10-37, 11-7, 11-8, 11-27, 12-5, 12-7, 12-11, B-7, D-8 Limitations of Methods for Applying Changes 9-27, 9-28 Load Window Requirements 9-6 Loading Data into the Warehouse 8-4, 8-5, 8-41 ble a r fe Loading Metadata 11-6, 11-10, 11-32 s n tra Loading Technique Considerations 8-15, 8-16 n no 8-20, Loading Techniques 5-4, 8-2, 8-3, 8-14, 8-17, 8-18, 8-19, a eฺ s d a i 8-27, 8-41, 8-42, 8-43 h Gu ) u r ฺ 8-2, e8-3, nt 8-17, 8-18, Loading Techniques Provided by Oracle x o d b tu 8-19, 8-20, 8-27, 8-41 in S @ s i d bythOracle: n Loading Techniques Provided SQL*Loader 8-17, 8-18 a e o s c u Logical 1-8, 2-8,(s2-9, 2-13, 2-14, 2-33, 2-34, 2-35, 2-40, v o3-40, l r 2-47, 3-42, 3-43, 4-1, 4-2, 4-3, 4-6, 4-19, 4-20, 4-24, O y dre 4-25, 4-28, 4-38, 4-43, 4-50, 4-52, 4-53, 4-59, 5-2, 5-15, 6-16, n A 6-17, 6-31, 7-29, 7-42, 8-15, 9-26, 11-18, 12-3, 12-6, 12-7, 12-15, C-11, D-26 M Maintaining ETL Quality 6-26 Maintaining Extraction Metadata 6-24 Maintaining History: Techniques 9-29 Maintaining transformation metadata 7-33, 7-34 Making the Right Choice 4-56 Managing Changes to Metadata 11-23 Managing Historical Summary Data in the Warehouse 10-8 Managing the Data Warehouse 2-49 Managing the Metadata 11-21, 11-24 Oracle Database 11g: Data Warehousing Fundamentals Index - 8 lice to e ns Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ M Manual Refresh Using the DBMS_MVIEW Package Procedures 10-17 Mapping Data 6-3, 6-14, 6-15 Measure Types 2-36 Measures 2-18, 2-34, 2-35, 2-36, 2-37, 2-38, 2-39, 2-40, 2-46, 2-47, 2-52, 2-59, 2-62, 4-6, 4-9, 4-12, 4-13, 4-15, 4-17, 4-25, 4-33, 4-36, 4-37, 4-38, 4-60, 4-61, 9-32, 10-11 Metadata Documentation Approaches 4-18 Metadata Management 11-27, 11-32, 12-12, 12-13 Metadata Users 11-5, 11-17 Methodology 3-32, 3-33, 3-42, 4-20, 5-5 Missing values problem 7-13 Monitoring and tracking 7-38 More on Factless Fact Tables 4-35 My Oracle Support 1-30 to e ns ce i l le b era f s n a tr n no ฺ N a as uide Name and address problem 7-19, 7-20 ) h ru ent G ฺ x Nonvolatile 1-12, 3-4, 3-6, 3-11, 3-46, B-6 nbo Stud i O d@ this n a OLAP: Overview 2-31 co use s ( On the operational ov platform 7-36 l r On the y Owarehouse server 7-32, 11-20 e r d An On-site Staging Model 7-6 Operation and Support 3-32, 3-37 Operations That Can Be Parallelized 5-32 Oracle 11g Useful Documentation 1-22, 1-23 Oracle Analytic Workspace Manager (AWM) 11g 1-20 Oracle Application Express (APEX) 3.1 1-20 Oracle by Example (OBE) 1-26, 2-64 Oracle Data Mining: An Overview 2-56, 2-57 Oracle Data Mining: Interfaces 2-58 Oracle Database Architectural Advantages 5-8 Oracle OLAP Option: 11g Highlights 2-52 Oracle OLAP: Part of an Integrated DW Platform 2-50 Oracle Technology Network (OTN) 1-24 Oracle Database 11g: Data Warehousing Fundamentals Index - 9 Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ O Oracle Warehouse Builder (OWB) 11g 1-20, 1-33 Oracle Warehouse Builder: Compliance with OMG-CWM 11-27, 11-28 Oracle-Supplied Technology and Tools for Implementing VPD 5-45, 5-46 Oracle-Supported Features for ETL 6-28, 6-29 Oracle-Supported Techniques for Purging Data 9-35 Oracle’s Partitioning Strategies 5-14, 5-15 Oracle’s Solution for ETL: Oracle Streams 6-30, 6-31 Oracle’s Strategy for Data Warehouse Security 5-42, 5-43, 5-44 Other Index Properties 5-23, 5-24 Overwriting a Record 9-24 OWB 1-20, 1-27, 1-33, 2-22, 2-49, 3-35, 4-42, 6-4, 6-21, 6-27, ble a r fe 6-35, 7-21, 7-22, 7-39, 7-40, 8-15, 8-42, 8-43, 11-18, 11-27,s11-28, n 11-32, 12-12, 12-13, 12-15, 12-16 -tra on n P a eฺ s d a i h Gu PARALLEL Clause: Examples 5-34 ) u r ฺ nt x Parallel Execution Server Pool 5-33 e o d tu5-29, 5-30, 5-31, nb5-3, 5-9, i S Parallelism 2-13, 2-55, 4-57, 5-2, @ s i d 8-22,th8-24, n a 5-34, 5-48, 5-49, 5-50, 12-8, 12-10 e o s c u (s Benefits: Partition Pruning 5-16 Partition Performance v o rl Methods 5-2, 5-48 Partitioning O ey r Performing Strategic Analysis 4-7, 4-8 d An Phase 1: Defining the Business Model 4-7 Phase 2: Designing the Logical Model 4-19 Phase 4: Defining the Physical Model 4-52 Phases of the Incremental Approach 3-38, 3-39 Physical Layers of a Data Warehouse 2-48 Planning the Load Window 9-7, 9-42 Possible ETL Failures 6-25 Postprocessing of Loaded Data 8-8, 8-28 Preserving Complete History 9-33 Problem: Multivendor 2-19 problems 2-9, 2-29, 4-54, 5-10, 5-11, 7-7, 7-9, 7-25, 7-26, 7-27, 7-50, 7-51, 8-13, 9-37, 11-11, 11-22 Oracle Database 11g: Data Warehousing Fundamentals Index - 10 lice to e ns P Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Production Data 6-9, 6-20 Productivity Issues with Extract Processing 2-10 Project Management 3-38, 3-42, 3-43, 12-2, 12-3, 12-4, 12-17, 12-18 Publishing Data 9-37, 9-38 Purging and Archiving Data 9-2, 9-34, 9-40 Q Query Rewrite 5-35, 6-35, 10-2, 10-3, 10-7, 10-9, 10-11, 10-13, 10-14, 10-15, 10-21, 10-22, 10-23, 10-24, 10-26, 10-28, 10-29, 10-35, 10-38 Query Rewrite Overview 10-21 R to e ns ce i Refresh Mechanisms in Oracle Database 11g 9-20, 9-21 l le Refreshing at Scheduled Time: Using the START WITH and NEXT Clauses rab 10-20 e f s n tra Remote staging model 7-5, 7-51 onn a 8-15, Replication 4-4, 4-5, 6-22, 6-29, 6-30, 6-31, 7-39, 8-14, eฺ s d a i h Gu ) 8-16, 9-19 u r ฺ nt e Reporting Considerations 12-10 box d tu n iDefinition S Requirements Specification or @ s i 12-5 d h n t a ROLAP Versus MOLAP co 2-53,se2-54 S (s v o rl u O Sales ey History (SH) Schema 1-11, 1-12, 1-13, B-2 r d An Sales History (sh) Schema 1-11, 1-12, 1-13, B-2 Scheduling the Load Window 9-8, 9-9, 9-10, 9-11, 9-42 Security Considerations 1-8, 4-32, 4-57, 5-1, 8-30, 12-11 Security in Data Warehouses 5-2, 5-3, 5-9, 5-29, 5-40, 5-41, 5-48 Sharing Dimensions 2-39 Sizing the Database and Other Storage Requirements 5-4 Slowly Changing Dimension (SCD): An Example 4-42 Slowly Changing Dimensions 4-41, 4-42, 4-44, 4-62, 12-7 Snowflake Schema Model 4-30, 4-31 Some Useful Resources and White Papers 12-17 Source data anomalies 7-7 SQL Environments Available in the Course 1-16 Oracle Database 11g: Data Warehousing Fundamentals Index - 11 S Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ SQL*Loader 5-32, 6-27, 6-28, 6-35, 7-15, 7-17, 7-40, 8-14, 8-15, 8-16, 8-17, 8-18, 8-19, 8-21, 8-22, 8-23, 8-24, 8-25, 8-28, 8-36, 8-37, 9-10, 9-43 Standard Quality Assurance Checks 8-38 Standards and Improvements 7-24, 7-25 Star Query Optimization 4-57, 12-10 Star Query: Example 5-27 Star Schema Model 4-27, 4-30 Star Transformation 5-25, 5-26, 5-27, 5-32, 5-51 Steps for Verifying Data Integrity 8-36, 8-37 Storage and Performance Considerations 4-57, 5-3, 5-9, 5-29 Strategy Phase Deliverables 3-40, 3-41 ble a r fe Subject Oriented 3-4, 3-6, 3-7 s n tra Success Factors for a Dynamic Business Environment 2-23 n no ฺ Suggested Course Schedule 1-4, 1-8, 1-9, 1-10, 1-21 a s de10-4, 10-6, a i Summary Management 2-52, 5-35, 7-32, 8-33, 10-2, 10-3, h u ) u t G10-37 r ฺ n 10-9, 10-10, 10-11, 10-13, 10-26, 10-35, 10-36, x e o tud nbOracle Summary Management Using ithe S Database 10-9 @ s i d n th Summary Navigation a 10-7 T o c v (s rlo use Table functions 5-32, 6-28, 7-5, 7-40, 7-48, 9-43 O ey r Technological Advances Enabling Data Warehousing 2-14 d An Testing Load Sampling 5-7 Testing the Implementation 12-14 The Dimensional Model 2-3, 2-30, 2-34, 2-39, 2-47, 2-54, 4-2, 4-3, 4-6, 4-24, 4-25, 4-34, 4-53, 4-54, 4-59, 4-63, 5-2, 6-35, 12-7 The Need for Summary Management 10-4 The Optimal Information Platform 2-20, 2-21, 2-22 The Optimal Information Platform for Business Intelligence 2-20 Third Normal Form (3NF) 4-20, 4-26, 4-32, 6-27 Time Dimension 2-39, 2-40, 2-41, 2-44, 3-10, 4-14, 4-25, 4-27, 4-35, 4-45, 4-46, 4-47, 4-48, 7-30, 10-30, 10-33, 12-6, 12-7 Time Variant 3-5, 3-6, 3-10 Oracle Database 11g: Data Warehousing Fundamentals Index - 12 lice to e ns T Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Time- and Date-Stamping 9-13, 9-17 Top-Down Approach 3-28, 3-29 Transformation 2-15, 2-19, 3-8, 3-18, 3-20, 3-32, 3-35, 4-15, 4-16, 4-17, 4-27, 4-36, 4-44, 4-46, 5-25, 5-26, 5-27, 5-32, 5-51, 6-2, 6-3, 6-4, 6-6, 6-7, 6-10, 6-14, 6-15, 6-25, 6-27, 6-31, 6-33, 7-2, 7-3, 7-4, 7-5, 7-6, 7-8, 7-9, 7-10, 7-12, 7-17, 7-28, 7-29, 7-30, 7-31, 7-32, 7-33, 7-34, 7-35, 7-36, 7-37, 7-38, 7-39, 7-40, 7-41, 7-42, 7-43, 7-44, 7-48, 7-49, 7-50, 7-51, 8-2, 8-4, 8-6, 8-8, 8-9, 8-15, 8-17, 8-18, 8-19, 8-22, 8-23, 8-24, 8-28, 9-6, 9-43, 10-21, 11-6, 11-9, 11-17, 11-24, 11-27, 11-32, 12-8, 12-9, 12-12 Transformation Metadata 7-33, 7-34, 11-9 ble a r fe Transformation points 7-36 s n tra Transformation routines 7-8 n no7-50,ฺ Transformation Techniques 7-3, 7-28, 7-29, 7-30, a 7-31, s de a i 7-51, 12-9 h u ) u tG r ฺ n Transformation tools 7-40 x e d7-9 u t nbosolutions Transforming Data: Problems iand @ his S d n Translating a Dimensional Modelt to a Physical Model 4-53, 4-54 a o c Dimensions use into Dimension Tables 4-40 s Translating Business ( ov Tablespaces 6-28, 6-29, 8-6, 8-7, 8-39 l r Transportable O y e r dTransportation in a Data Warehouse 8-6 An Types of Context 11-14 Types of Database Keys 4-43, 4-44 Types of Metadata 2-10, 11-6, 11-23 Typical Data Warehouse Components 3-20, 3-21 Typical Example of an OLAP Query 2-32 U Unintegrated Environment 2-19 Unique Indexes 8-30 User Requirements and Assistance 9-5 Using a Business Process Matrix 4-11 Using a Database Log 9-19 Using Data Modeling Tools 4-50, 4-51 Oracle Database 11g: Data Warehousing Fundamentals Index - 13 lice to e ns U Unauthorized reproduction or distribution prohibitedฺ Copyright© 2014, Oracle and/or its affiliatesฺ Using Hierarchies to Drill on Data and Aggregate Data 4-49 Using Materialized Views for Summary Management 10-11, 10-13 Using Materialized Views for Summary Management: Example 10-13 Using Summaries to Improve Performance 10-5 Using Summaries Without Materialized Views: Example 10-12 Using Summary Data 5-35 Using the DBMS_MVIEW Package: The Available ON DEMAND Refresh Methods 1018, 10-19 to e ns Using Time in the Data Warehouse 4-45 ce i l le V Validating Database Size Assumptions 5-6 Verifying Data Integrity 8-35, 8-36, 8-37 Versioning 9-29, 9-32, 11-21 b era f s n a tr n no ฺ W a as3-44uide h Warehouse Development Approaches 3-2,) 3-25, ru ent G ฺ x What Are Dimension Objects? 10-28 bo tud n i What Are Dimensions? 10-27 @ his S d n a What Is Oracle OLAP? 2-51 e t o c us 1-18, C-3 s ( What Is Oracle SQL Developer? ov l r Wholesale y O Data Replacement 9-12, 9-13, 9-15, 9-42 e r dWhy Are Dimensions Important? 10-29 An Why Data Partitioning Is Needed 5-10 Why OLTP Is Not Suitable for Analytical Reporting 2-7 Oracle Database 11g: Data Warehousing Fundamentals Index - 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