Business Analytics Data Modeling
Business Analytics Data Modeling (BA3000)
Business Analytics Data Modeling provides an overview of using Metadata Editor and Schema Workbench to create data models used by Interactive Reporting, Analyzer, and Report Designer.
Through a mixture of interactive, instructor-led activities and hands-on exercises, students learn to create metadata models with Metadata Editor, and Mondrian schema (cubes and stars) with Schema Workbench.
Note: The Business Analytics courses do not cover Data Integration or Administration. For more information on Data Integration, see course DI1000 Pentaho Data Integration Fundamentals. For more information on Administration, see course AD1000 Installation and Administration.
- Decrease your time-to-market by learning how to build data models for use in Pentaho Business Analytics
- Equip yourself with best practices and techniques for building data models
- Interactive, hands-on training materials significantly improve skill development and maximize retention
- At the completion of this course, you should be able to:
- Use the Data Source Wizard to create data models from a comma-separated value (CSV) file
- Use Pentaho Metadata Editor to build metadata models and domains that allow you to create business-language definitions for complex database tables, set security parameters on report data, and control data formatting
- Describe Online Analytic Processing (OLAP), Relational Online Analytic Processing (ROLAP), and Dimensional Modeling
- Describe the purpose and function of a Mondrian schema
- Use Schema Workbench to create a basic cube for Pentaho Analyzer
- Use Schema Workbench to create a star schema with hierarchies, levels, and calculated members
- Write and execute a basic MDX query to test a Mondrian schema within Schema Workbench
- Describe how Schema Workbench uses roles to control access to Mondrian schemas
Students attending classroom courses in the United States are provided with a PC to use during class. Students attending courses outside the US should contact the Authorized Training Provider regarding PC requirements for Pentaho courses.
In general, if your training provider requires you to bring a PC to class, it must meet the following requirements. You can also verify your system against the Compatibility Matrix: List of Supported Products topic in the Pentaho Documentation site.
- Windows XP, 7 desktop operating system (for Macintosh support, please contact your Customer Success Manager)
- RAM: at least 4GB
- Hard drive space: at least 2GB for the software, and more for solution and content files
- Processor: dual-core AMD64 or Intel EM64T
- USB port
Online courses require a broadband Internet connection, the use of a modern Web browser (such as Microsoft Internet Explorer or Mozilla Firefox), and the ability to connect to GoToTraining. For more information on GoToTraining requirements, see www.gotomeeting.com/online/training. Online courses use Pentaho’s cloud-based exercise environment. Students are provided access to a virtual machine used to complete the exercises.
For online courses, students are provided with a secured, electronic course manual. Printed manuals are not provided for online courses. When an electronic manual is provided, students are encouraged to print the exercise book before class begins, though this is not required.
Students attending this course on-site should contact their Customer Success Manager for hardware and software requirements. You can also email us at email@example.com for more information regarding on-site training requirements.
Module 1: Getting Started with Pentaho Business Analytics
Lesson 1: Introducing Pentaho Business Analytics
Lesson 2: Overview of the Training Data
Lesson 3: Navigating the User Console
Module 2: Working with Data Sources in Pentaho
Lesson 1: Creating a New Data Source
Exercise 2-1: Create Reports Using the New Data Source
Lesson 2: Using Metadata Editor
Lesson 3: Using Metadata Concepts
Lesson 4: Metadata Editor's Query Editor
Module 3: OLAP/ROLAP and Dimensional Modeling
Lesson 1: Introduction to OLAP and ROLAP
Lesson 2: Dimensional Modeling: Cubes and Stars
Lesson 3: Introduction to Mondrian
Module 4: Using Schema Workbench
Lesson 1: Introduction to Schema Workbench
Lesson 2: Creating a Basic Cube with Schema Workbench
Exercise 4-1: Create a Basic Cube
Lesson 3: Creating a Star Schema Data Model
Exercise 4-2: Create a Star Schema Data Model
Lesson 4: Creating a Calculated Member
Lesson 5: Using MDX Query Mode
Lesson 6: Access Control with Schema Workbench
Lesson 7: Viewing the FoodMart Sample Schema File