Getting Started with Pentaho Data Integration
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Contents
Introduction ............................................................................................................. 4
Common Uses..........................................................................................................................4
Key Benefits............................................................................................................................. 4
Pentaho Data Integration Architecture......................................................................6
Downloading Pentaho Data Integration....................................................................7
Installing Pentaho Data Integration...........................................................................8
Starting the Spoon Designer.................................................................................................... 8
Pentaho Data Integration Folders and Scripts......................................................................... 8
Installing Enterprise Edition Licenses.......................................................................................9
Adding a JDBC Driver.............................................................................................................. 9
Connecting to the Enterprise Repository................................................................11
Navigating through the Interface.............................................................................12
Creating Your First Transformation........................................................................ 15
Retrieving Data from a Flat File (Text File Input Step)...........................................................15
Saving Your Transformation........................................................................................18
Filter Records with Missing Postal Codes (Filter Rows Step)................................................ 18
Loading Your Data into a Relational Database (Table Output Step)......................................20
Retrieving Data from your Lookup File (Text File Input Step)................................................ 21
Resolving Missing Zip Code Information (Stream Lookup Step)............................................22
Completing your Transformation (Select Values Step).......................................................... 23
Running Your Transformation................................................................................................ 24
Building Your First Job............................................................................................27
Scheduling the Execution of Your Job .................................................................. 29
Building Business Intelligence Solutions Using Agile BI.........................................31
Using Agile BI.........................................................................................................................31
Correcting the Data Quality Issue.......................................................................................... 32
Creating a Top Ten Countries by Sales Chart....................................................................... 33
Breaking Down Your Chart by Deal Size............................................................................... 34
Wrapping it Up........................................................................................................................35
Why Choose Enterprise Edition?............................................................................37
Professional, Technical Support.............................................................................................37
Enterprise Edition Features....................................................................................................37
Certified Software Releases...................................................................................................37
Troubleshooting......................................................................................................38
I don't know what the default login is for the DI Server, Enterprise Console, and/or Carte....38
4 | | Introduction
Introduction
Pentaho Data Integration (PDI) is a powerful extract, transform, and load (ETL) solution that uses an
innovative metadata-driven approach. It includes an easy to use, graphical design environment for building
ETL jobs and transformations, resulting in faster development, lower maintenance costs, interactive
debugging, and simplified deployment.
Common Uses
Pentaho Data Integration is an extremely flexible tool that addresses a broad number of use cases
including:
• Data warehouse population with built-in support for slowly changing dimensions and surrogate key
creation
• Data migration between different databases and applications
• Loading huge data sets into databases taking full advantage of cloud, clustered and massively parallel
processing environments
• Data Cleansing with steps ranging from very simple to very complex transformations
• Data Integration including the ability to leverage real-time ETL as a data source for Pentaho Reporting
• Rapid prototyping of ROLAP schemas
• Hadoop functions: Hadoop job execution and scheduling, simple Hadoop map/reduce design, Amazon
EMR integration
Key Benefits
Pentaho Data Integration features and benefits include:
• Installs in minutes; you can be productive in one afternoon
• 100% Java with cross platform support for Windows, Linux and Macintosh
• Easy to use, graphical designer with over 100 out-of-the-box mapping objects including inputs,
transforms, and outputs
| Introduction | 5
• Simple plug-in architecture for adding your own custom extensions
• Enterprise Data Integration server providing security integration, scheduling, and robust content
management including full revision history for jobs and transformations
• Integrated designer (Spoon) combining ETL with metadata modeling and data visualization, providing
the perfect environment for rapidly developing new Business Intelligence solutions
• Streaming engine architecture provides the ability to work with extremely large data volumes
• Enterprise-class performance and scalability with a broad range of deployment options including
dedicated, clustered, and/or cloud-based ETL servers
