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Pentaho 8 Reporting for Java Developers

You're reading from   Pentaho 8 Reporting for Java Developers Create pixel-perfect analytical reports using reporting tools

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788298995
Length 470 pages
Edition 1st Edition
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Tools
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Authors (2):
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Francesco Corti Francesco Corti
Author Profile Icon Francesco Corti
Francesco Corti
Jasmine Kaur Jasmine Kaur
Author Profile Icon Jasmine Kaur
Jasmine Kaur
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Pentaho Reporting FREE CHAPTER 2. Getting Started with Report Designer 3. Getting Started with Reporting SDK 4. Creating a Report with Report Designer 5. Design and Layout in Report Designer 6. Configuring JDBC and Other Data Sources 7. Including Graphics and Charts in Reports 8. Parameterization, Functions, Variables, and Formulas 9. Internationalization and Localization 10. Subreports and Cross Tabs 11. The PRPT Format and the Java API to Build It 12. Developing Using Data Sources 13. Internationalization, Subreports, and Cross Tabs Using Java 14. Building Interactive Reports 15. Using Reports in Pentaho Business Analytics Platform 16. Using Reports in Pentaho Data Integration 17. Pentaho Reporting Nightly Build and Support

Introducing data sources


We have already introduced the importance of data sources in report development. Indeed, data sources are the very first step in report development, using both the Report Designer and the Pentaho Reporting SDK. In short, data sources are used by Pentaho Reporting to define the dataset available in a report, using a table representation made of fields and rows. Each field is defined by a name and a type (that is, string, integer, and so on), and a row is a collection of values related to the fields. Fields and rows are the real content of a Pentaho report and they can be used for viewing results, making charts, calculating formulas, the definition of parameters and user inputs, and a lot of other things.

Even if the result of a data source is always a table, the types of sources can vary significantly. We can have relational DBMSs, NoSQL databases, different engines (like OLAP, Pentaho Data Integration, and so on), or even different formats of static data structures...

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