Oracle - Oracle Database 11g: OLAP Essentials
Seminar
In Dresden
Beschreibung
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Kursart
Seminar
-
Ort
Dresden
-
Dauer
3 Tage
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Beginn
auf Anfrage
Oracle - Oracle Database 11g: OLAP Essentials: Data Warehouse-Administrator Data Warehouse-Analytiker Datenbankadministratoren Businessanalytiker. In this course, students learn to progressively build an OLAP data model to support a wide range of business intelligence requirements. Students learn to design OLAP cubes to serve as a summary management.. Gerichtet an: Data Warehouse-Administrator Data Warehouse-Analytiker Datenbankadministratoren Businessanalytiker. In this course, students learn to progressively build an OLAP data model to support a wide range of business intelligence requirements. Students learn to design OLAP cubes to serve as a summary management resource for existing SQL table queries. Students also learn to leverage the power of Oracle OLAP by adding rich analytic content to your data model. ...
Standorte und Zeitplan
Lage
Beginn
Beginn
Hinweise zu diesem Kurs
Erforderliche Vorkenntnisse: Basic SQL knowledge A basic understanding of OLAP concepts Empfohlene Vorkenntnisse: Professioneller Einstieg in Oracle Database 11 g SQL
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Themen
- Design
- Management
- Access
- Datenbank
- Programmierung
- SQL
- Support
- OLAP
- Business Intelligence
- DB
- Oracle9i
- Oracle Datenbanken
- Business
Inhalte
Oracle - Oracle Database 11g: OLAP Essentials:
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In this course, students learn to progressively build an OLAP data model to support a wide range of business intelligence requirements. Students learn to design OLAP cubes to serve as a summary management resource for existing SQL table queries. Students also learn to leverage the power of Oracle OLAP by adding rich analytic content to your data model.
Students learn to create sophisticated reports of OLAP data by using simple SQL queries. Students also create and execute OLAP queries in SQL Developer, and Oracle Application Express (APEX). Students learn to implement cube security, including how to authorize access to cube data and methods for scoping user views of data. Finally, students learn to design OLAP cubes for performance and scalability.
Learn To:
- Design and create an Oracle OLAP data model
- Enable query rewrite to OLAP Cube MVs for relational summary management
- Easily create OLAP calculations that enrich the analytic content of your data model
- Query OLAP data using simple SQL
- Implement cube security
- Efficiently design cubes for performance and scalability
ZIELGRUPPE
_x000D_
In this course, students learn to progressively build an OLAP data model to support a wide range of business intelligence requirements. Students learn to design OLAP cubes to serve as a summary management resource for existing SQL table queries. Students also learn to leverage the power of Oracle OLAP by adding rich analytic content to your data model.
Students learn to create sophisticated reports of OLAP data by using simple SQL queries. Students also create and execute OLAP queries in SQL Developer, and Oracle Application Express (APEX). Students learn to implement cube security, including how to authorize access to cube data and methods for scoping user views of data. Finally, students learn to design OLAP cubes for performance and scalability.
Learn To:
- Design and create an Oracle OLAP data model
- Enable query rewrite to OLAP Cube MVs for relational summary management
- Easily create OLAP calculations that enrich the analytic content of your data model
- Query OLAP data using simple SQL
- Implement cube security
- Efficiently design cubes for performance and scalability
KURSINHALT
Kursziele:
- Describe OLAP concepts and terminology
- Examine the role of Oracle OLAP within the Oracle BI / DW Platform
- Design and create OLAP Cubes
- Enable query rewrite to OLAP Cube MVs for summary management
- Create OLAP calculated measures
- Query stored and calculated OLAP data with simple SQL
- Use ad hoc query and reporting tools against OLAP data
- Implement cube security
- Efficiently design cubes for performance and scalability
Examining the Role of Oracle OLAP within the Oracle BI / DW Platform
- Oracle OLAP and the Oracle BI / DW Platform
- Features of the Oracle OLAP Option
- Accessing Oracle 11g OLAP data
- Stored and Calculated Measures
- Dimensions
- Hierarchies
- Levels
- Attributes
- Using the Cube Building Tool
- Creating Dimensions
- Designing Cubes
- Creating Measures
- Mapping to Source Data
- Loading Data
- Benefits of Cube MV Summary Management
- General Requirements for rewrite to MVs
- Designing Cube MVs
- Using Cube MVs
- Examining OLAP Calculation Types
- Using the Calculation Builder
- Creating Common Business Calculations
- Creating Custom Calculations
- Understanding Cube Views
- Querying OLAP Cubes: The Basics
- Leveraging Cube Summaries
- Applying Query Filters
- Joining OLAP and Relational Data
- Creating Cubes with Varying Dimensionality
- Integrating Measures from Data with Different Dimensionality
- Creating Forecast Measures Using OLAP DML
- Exploring OLAP Data Using Oracle Application Express (APEX)
- Performing Ad Hoc Query of OLAP Data Using Oracle BI Answers
- Examining Metadata Requirements for BI Tools
- Understanding Authentication Requirements
- Authorizing Access to Cube Data
- Examining User and Object Privileges
- Examining Methods for Scoping User Views of Data
- Objectives of Performant and Scalabile Design
- Examining how Data is Stored in Oracle Cubes
- Identifying Cube Features that Impact Performance and Scalability
- Implementing Design Techniques for Performance and Scalability
- Describing How Cubes are Stored
- Understand Cube Build Processing
- Examining Balanced Configurations
- Correcting Performance Bottlenecks
VORRAUSSETZUNG
Erforderliche Vorkenntnisse:
- Basic SQL knowledge
- A basic understanding of OLAP concepts
- Professioneller Einstieg in Oracle Database 11gSQL
Oracle - Oracle Database 11g: OLAP Essentials