Oracle OLAP Essentials Workshop
Course
In London-City
Description
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Type
Course
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Location
London-city
Oracle OLAP Essentials Workshop - key skills for all embarking on an Oracle business intelligence, data warehousing or data mining project. Learning Objectives Online analytical processing, (OLAP), as succinctly different to OLTP (transactional processes) enables fast multi-dimensional analytical (MDA) queries. iTrain’s Oracle OLAP Essentials workshop will explore OLAP data models to enable attendees to support and address the needs of a broad range of business intelligence project requirements. Hands on labs are structured throughout courses and will include exercises to enable delegates to design and build OLAP cubes to serve as a summary management resource for existing SQL table queries, through to adding rich analytic content to attendees data models. Further hands on labs will provide delegates with skills to develop their own sophisticated reports of OLAP data by using simple SQL queries, to execute OLAP queries in SQL Developer or Oracle tools, and progress to apply cube security, access control, exploring best practice including performance.
Facilities
Location
Start date
Start date
About this course
SQL for OracleA base understanding of OLAP and BI concepts is helpful, athough not essential
Reviews
Subjects
- Business Intelligence
- Project
- Design
- SQL
- Access
Course programme
Oracle OLAP, Oracle BI and Data Warehouses
Oracle OLAP and the Oracle BI / DW Platform
Oracle OLAP Option Overview
Accessing Oracle OLAP data
Dimensional Model
Stored and Calculated Measures
Dimensions
Hierarchies
Levels
Attributes
OLAP Cubes
The Cube Building Tool
Creating Dimensions
Designing Cubes
Creating Measures
Mapping to Source
Data Loading Data
Cube-Organized Materialized Views (Cube MVs)
Cube MV Summary Management
General Requirements for rewrite to MVs
Designing Cube MVs
Using Cube MVs
Creating Calculated Measures
OLAP Calculation Types
The Calculation Builder
Creating Common Business Calculations
Creating Custom Calculations
Using SQL to Query Oracle OLAP Cubes
Cube Views
Querying OLAP Cubes
Leveraging Cube Summaries
Applying Query Filters
Joining OLAP and Relational Data
Enhancing Analytic Content
Creating Cubes with Varying Dimensionality
Integrating Measures from Data with Different Dimensionality
Forecast Measures Using OLAP DML
Using Ad Hoc Query and Reporting Tools Against OLAP Data
OLAP Data Using Oracle tools
Ad Hoc Query of OLAP Data Using Oracle BI Answers
Metadata Requirements for BI Tools
Implementing Cube Security
Authentication Requirements
Authorizing Access to Cube Data
User and Object Privileges
Methods for Scoping User Views of Data
Designing Cubes for Performance and Scalability
Objectives of Performant and Scalable Design
Data is Storage in Oracle Cubes
Cube Features that Impact Performance and Scalability
Design Techniques for Performance and Scalability
Examining Performance Tuning
How Cubes are Stored
Cube Build Processing
Balanced Configurations
Performance Bottlenecks
Oracle OLAP Essentials Workshop