Pentaho Business Analytics Data ModelingBA3000

C OUR SE DE S CR IP T IO N

This instructor-led course 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.

C OUR SE OB JEC T I V E S

When you complete this course, you should be able to:● Describe the different storage networking architectures

● Use the Data Source Wizard to create data models from a comma-separated value (CSV) file

● Use Metadata Editor to create a metadata domain and publish the domain to the Pentaho server

● Create Metadata Concepts to format elements in a metadata domain

● Use Metadata Editor’s Query Editor to test metadata models

● 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

C OUR SE OU T LIN E

1. Getting Started with Pentaho Business Analytics

■ Lesson 1 – Introducing Pentaho Business Analytics■ Lesson 2 – Navigating the User Console ■ Lesson 3 – Overview of the Training Data

Delivery Type● Instructor-Led Training (ILT)● Virtual Instructor-Led Training (vILT)

Duration● 2 days

Course Availability● Employees● Customers● Partners

Target Audience ● Business Analyst● Data Analyst● Pentaho Support

Required Knowledge and Skills● Some knowledge of database design and dimensional modeling is preferred

Recommended Courses● BA1000 - Pentaho Business Analytics User Console OR

● BA1000W - Pentaho Business Analytics User Console (self-paced, online)

Supplemental Courses● DI1000 - Pentaho Data Integration Fundamental

● AD1000 - Pentaho Installation and Administration

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HITACHI is a registered trademark of Hitachi, Ltd. VSP is a trademark or registered trademark of Hitachi Vantara LLC. Microsoft, Azure and Windows are trademarks or registered trademarks of Microsoft Corporation. All other trademarks, service marks and company names are properties of their respective owners. CD-BA3000 ANT February 2020

To register or for more informationHitachi Vantara Learning Center (customers/partners)

Hitachi University (employees)

■ Guided Demo: Navigating the User Console■ Guided Demo: Creating the Training Folder

2. Working with Data Sources in Pentaho

■ Lesson 1 – Creating a New Data Source■ Guided Demo: Creating a New Data Source■ Exercise 2-1 – Create Reports Using the New Data

Source■ Lesson 2: Using Metadata Editor■ Guided Demo: Viewing an Existing Metadata Domain■ Guided Demo: Creating a Metadata Domain■ Guided Demo: Creating a Star Schema Data Source■ Lesson 3: Metadata Concepts■ Guided Demo: Using Metadata Concepts■ Lesson 4 – Metadata Editor’s Query Editor■ Guided Demo: Using the Query Editor

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

4. Using Schema Workbench

■ Lesson 1 – Introduction to Schema Workbench■ Guided Demo: Viewing an Existing Schema■ Guided Demo: Viewing the Database with JDBC

Explorer ■ Lesson 2 – Creating a Basic Cube with Schema

Workbench■ Guided Demo: Creating a Basic Cube■ Exercise 4-1 – Create a Basic Cube■ Lesson 3: Creating a Star Schema Data Model■ Guided Demo: Viewing a Star Schema Data Model■ Exercise 4-2 – Create a Star Schema Data Model

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