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BIRT 2.6 Data Analysis and Reporting.
Create, Design, Format, and Deploy Reports with the world's most popular Eclipse-based Business Intelligence and Reporting Tool.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Pub.,
2010.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- BIRT 2.6 Data Analysis and Reporting; BIRT 2.6 Data Analysis and Reporting; Credits; About the Author; About the Reviewers; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Errata; Piracy; Questions; 1. Getting Started; Introduction to BI; The current state of the BI market; The need for open source reporting; Why BIRT?; What is BIRT?; The origins of BIRT; Features of BIRT; Eclipse framework; BIRT distributions; Conventions used in this book; Summary; 2. Installing BIRT; BIRT prerequisites; Software requirements.
- Hardware requirementsWhere do I get BIRT?; Installing BIRT from the All-In-One package; Installing BIRT All-in-One under Linux; Installation of BIRT through the Eclipse Plugin update program; Building BIRT from source; Summary; 3. The BIRT Environment and First Report; A basic scenario; The BIRT perspective; The BIRT workbench; The Navigator; The Outline; The Palette; The Data Explorer; Resource Explorer; Property Editor; ; Report Designer; Setting up a simple project; Creating a simple report; The hidden views.
- Getting access to cheat sheets and the simple listing report tutorial within EclipseSummary; 4. Visual Report Items; Labels; Images; Text and Dynamic Text; Grid; Aggregation; Summary; 5. Working with Data; BIRT data capabilities; Understanding the data components of BIRT; The Data Source; XML Data Source; Flat file data adapter; The JDBC Data Source; Datasets; Dataset for flat files; JDBC Datasets; Joined Dataset; Creating data using the data store; Tables; Creating tables using drag and drop; Creating tables manually; Groups; Lists; Aggregations; Web service Data Source.
- Adding additional data aware components to the paletteSummary; 6. Report Parameters; Why parameterize reports?; Dataset parameters and report parameters; Getting input from the user; Creating parameter binding the easy way; Dynamic Report Parameters and Filters; Cascading parameters; Parameter grouping and reports with multiple parameters; Setting default parameter values; Summary; 7. Report Projects and Libraries; Report projects; Creating new Report Projects; Importing and exporting Report Projects; Other project options; Libraries; Creating a new library; Adding components to a library.
- Adding a data source to a libraryAdding a visual element to a library; Using components stored in a library; Updating components in the library to update reports; Adding existing components in reports to libraries; Master Pages; Summary; 8. Charts, Hyperlinks, and Drilldowns; Pie chart; Pie chart with explosions; Pie charts-working with percentages; Gauge chart; Bar chart; Summary; 9. Scripting and Event Handling; Types of Scripting; Expressions; Event Handling; Contexts; Adding elements to report; Removing elements from a report; Adding sorting conditions.