Book Image

Learning Pentaho CTools

By : Miguel Gaspar
Book Image

Learning Pentaho CTools

By: Miguel Gaspar

Overview of this book

Pentaho and CTools are two of the fastest and most rapidly growing tools for practical solutions not found in any other tool available on the market. Using Pentaho allows you to build a complete analytics solution, and CTools brings an advanced flexibility to customizing them in a remarkable way. CTools provides its users with the ability to utilize Web technologies and data visualization concepts, and make the most of best practices to create a huge visual impact. The book starts with the basics of the framework and how to get data to your dashboards. We'll take you all the way through to create your custom and advanced dashboards that will create an effective visual impact and provide the best user experience. You will be given deep insights into the lifecycle of dashboards and the working of various components. Further, you will create a custom dashboard using the Community Dashboards Editor and use datasources to load data on the components. You will also create custom content using Query, the Freeform Addins Popup, and text components. Next, you will make use of widgets to create similar sections and duplicate components to reproduce other components on a dashboard. You will then learn to build a plugin without writing Java code, use Sparkl as a CPK plugin manager, and understand the application of deployment and version control to dashboard development. Finally, you will learn tips and tricks that can be very useful while embedding dashboards into other applications. This guide is an invaluable tutorial if you are planning to use custom and advanced dashboards among the solutions that you are building with Pentaho.
Table of Contents (17 chapters)
Learning Pentaho CTools
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


Now you know how to create data sources that can bring data to your reports/dashboards. You should now understand how to create different types of queries by defining all the XML elements. There is an important part of the chapter on how to send parameters to the queries. One of the query types is a Kettle query, where you need to specify the mapping between the parameters that come from the dashboard and the variables defined inside the kettle transformation. If necessary, we can blend data, just by creating queries for different data sources that will later be combined using a join or union in a compound query.

We also covered how to preview the queries, how to edit a CDA file, and how to manage or clean segments of the CDA cache. You should now be able to schedule the queries so that they can be cached and give shorter response times to the users who are accessing the same query.

This chapter showed you how to create or edit a CDA file manually; however, you don't always need to...