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training duration icon Business Intelligence - OLAP and Data Warehousing

Duration: 2 Days
Delivery Type: Classroom
Target Audience: Business Intelligence Developer
Course Number: 2020335
Method: Lecture and discussion
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Topicsss

A. Business Intelligence, OLAP, and Data Warehousing

[Duration: 0.25 Days] Goals of a Data Warehouse - Components of a Data Warehouse: Operational Source Systems, Data Staging Area, Data Presentation, Data Access Tools - Dimensional Modeling: Fact Tables, Dimension Tables

B. The Data Warehouse and Design

[Duration: 0.5 Days] Operational Data - The Data Warehouse and Data Models: The Data Warehouse Data Model, The Midlevel Data Model, The Physical Data Model - Normalization and Denormalization - Metadata - Technical and Physical Architecture - Deploying and Supporting the DW/BI System

C. The Relational and the Multidimensional Models

[Duration: 0.25 Days] The Relational Model - The Multidimensional Model - Snowflake Structures - Differences between the Models - Independent Data Marts - OLAP and Aggregations - OLAP Operations

D. ETL - Loading the Data Warehouse

[Duration: 0.25 Days] ETL (Extract, Transformation, and Load) - Designing the Staging Area - Data Structures in the ETL System - Data Flow: Extracting, Cleaning and Conforming - Loading Fact Tables - Integrating OLAP Processing into the ETL System - Development Options of ETL - Data Latency - Data Quality

E. Dimension Tables

[Duration: 0.25 Days] The Basic Structure of a Dimension - The Grain of a Dimension - Flat Dimensions and Snowflaked Dimensions - Date and Time Dimensions - Big and Small Dimensions - Dimensional Roles - Degenerate Dimensions - Slowly Changing Dimensions - Ragged Hierarchies and Bridge Tables

F. OLAP and Data Mining

[Duration: 0.5 Days] Business Intelligence Applications: Direct Access Query and Reporting Tools, Standard Reports, Analytic Applications, Dashboards and Scorecards - Data Mining: Data Mining Overview, Data Mining in the Applications Architecture

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For trainings with hands-on labs you are kindly requested to bring your own laptop with the required software. Alternatively, you can use our virtual machines (VMWare) for the MS Windows OS.
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