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Siebel Analytics
| Foundations |
Module 01: Course Introduction
Module 02: Siebel Analytics Overview
Module 03: Exploring Siebel analytics User Interfaces
Module 04: Repository Basics
Module 05: Implementation Methodology
Module 06: Buliding the Physical Layers of Repository
Module 07: Building the Business Model Layer of a repository
Module 05: Building the Presentation Layer of a repository
Module 09: Testing and Validating a Repository
Module 10: Adding Multiple Sources to a dimension
Module 11: Adding calculations to a fact
Module 12: Creating Dimensional Hierarchies and Level-Based Measures
Module 13: Using Aggregates
Module 14: Using Partitions of fragments
Module 15: Using Repository Variables
Module 16: Modeling Time series Data
Module 17: Modeling Slowly Changing dimensions
Module 18: Modeling Header and detail Data
Module 19: Prototyping and Non-Dimensional data
Module 20: Modeling Extension tables
Module 21: Modeling leading practices
Module 22: Analytics Security
Module 23: Cache Management
Module 24: Answers
Module 25: Dash boards
Module 26: Delivers
Module 27: Administration
Module 28: Introduction ETL
Module 29: Data ware concepts
Module 30: Creating dimension Hierarchies
Module 31: Adding Multiple Sources
Module 32: Customizing User Interface
Module 33: Adding calculation to facts
Module 34: Configuring guided Navigation Links
Module 35: administering BI Web Catalog
Module 36: Using Aggregates
Module 37: Using Delivers
Module 38: Using partitions Fragments
Module 39: Using briefing books
Module 40: Using Repository Variable
Module 41: Dash board design Principles best Practices
Module 42: Modeling time series Data
Module 43: Security
Module 44: Cache Management
Module 45: Multi user Development Environment
Module 46: Utilities. |
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