As you explore Pentaho Data Integration, you will be introduced to the major components, watch videos, work through hands-on examples, and read about the different features. Go at your own pace. Feel free to dig into the documentation or to contact Pentaho sales support if you have questions.
The PDI evaluation track is divided into several parts.
This section familiarizes you with PDI and introduces you to basic terminology and concepts. Then, you learn how to start and configure Spoon and take a spin through the interface.
|What is PDI and How Does it Fit Into the Pentaho Business Analytics Platform?|| |
|PDI Components|| |
Get Acquainted with Spoon
Spoon is the PDI design tool. In this section you will set up Spoon, take a tour of the Spoon interface, and learn about the different Spoon perspectives.
|Install and Configure PDI Components|| |
|Introduction to Spoon|| |
|PDI Basic Terminology|| || |
|Get a Different Perspective|| |
Build Transformations and Jobs
Now that your environment is set up and you are familiar with Spoon, you are ready to build transformations and jobs. Work through the tutorial in this section.
|Create a Connection to the DI Repository|| || |
|Create Your First Transformation|| |
|Create a Job|| || |
|Schedule a Job|| || |
|Learn more about commonly-used steps and job entries.|| |
Explore Big Data and Streamlined Data Refinery
In this section, you will learn how to use transformation steps to connect to a variety of Big Data data sources, including Hadoop, NoSQL, and analytical databases such as MongoDB. You can then try working through the detailed, step-by-step tutorials, and peruse the out-of-the-box steps that Spoon provides. Learn how to work with Streamlined Data Refinery. Read about Instaview. Then, you will have an opportunity to move beyond the basics and learn how to edit transformations and metadata models.
|What is Big Data?|| |
|Learn about Streamlined Data Refinery|| || |
|Introduction to DI Big Data Steps and Transformations|| || |
|Configure a Hadoop Distribution|| || |
|PDI, Hadoop, Cassandra, MongoDB, and MapR Tutorials|| || |
|Beyond the Basics: Edit Transformations and Metadata Models|| |
|Blend Big Data|| || |
About Kitchen, Pan, and Carte
These lessons provide an overview of Kitchen and Pan, which are command lines tool for executing jobs and transformations modeled in Spoon. You will also learn about Carte, which is a web server that enables remote execution of jobs and transformations.
|What are Kitchen and Pan?|| |
|Intro to Kitchen, Pan, and Carte.|| |
Now that you have completed an initial evaluation of PDI, dig a little deeper. Find out how to:
- Use newer steps and entries, like Spark, R Script Executor, Pentaho MapReduce, and Kettle Clustering on YARN.
- Create other DI Solutions.
- Administer PDI.
- Integrate with different security protocols, like Pentaho Security, LDAP, MSAD, and Kerberos.
- Check out our developer's documentation.
- Use Agile BI to create reports.
- Learn more about predictive analytics by watching this video.