Oracle - Oracle Database 11g: OLAP Essentials

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  • Seminar
  • Anfänger
  • Dresden
  • Dauer:
    3 Tage
Beschreibung

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. ...

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· Voraussetzungen

Erforderliche Vorkenntnisse: Basic SQL knowledge A basic understanding of OLAP concepts Empfohlene Vorkenntnisse: Professioneller Einstieg in Oracle Database 11 g SQL

Themenkreis

KURSZIEL
Oracle - Oracle Database 11g: OLAP Essentials:
  • Data Warehouse-Administrator
  • Data Warehouse-Analytiker
  • Datenbankadministratoren
  • Businessanalytiker
  • _x000D_

    _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


    ZIELGRUPPE
  • Data Warehouse-Administrator
  • Data Warehouse-Analytiker
  • Datenbankadministratoren
  • Businessanalytiker
  • _x000D_

    _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
    Sachgebiete:
    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
    Understanding the Dimensional Model
    • Stored and Calculated Measures
    • Dimensions
    • Hierarchies
    • Levels
    • Attributes
    Building OLAP Cubes
    • Using the Cube Building Tool
    • Creating Dimensions
    • Designing Cubes
    • Creating Measures
    • Mapping to Source Data
    • Loading Data
    Examining Cube-Organized Materialized Views (Cube MVs)
    • Benefits of Cube MV Summary Management
    • General Requirements for rewrite to MVs
    • Designing Cube MVs
    • Using Cube MVs
    Creating Calculated Measures
    • Examining OLAP Calculation Types
    • Using the Calculation Builder
    • Creating Common Business Calculations
    • Creating Custom Calculations
    Using SQL to Query Oracle OLAP Cubes
    • Understanding Cube Views
    • Querying OLAP Cubes: The Basics
    • 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
    • Creating Forecast Measures Using OLAP DML
    Using Ad Hoc Query and Reporting Tools Against OLAP Data
    • 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
    Implementing Cube Security
    • Understanding Authentication Requirements
    • Authorizing Access to Cube Data
    • Examining User and Object Privileges
    • Examining Methods for Scoping User Views of Data
    Designing Cubes for Performance and Scalability
    • 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
    Examining Performance Tuning
    • 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
    Empfohlene Vorkenntnisse:
    • Professioneller Einstieg in Oracle Database 11gSQL

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