Pentaho Analysis provides interactive data analysis capabilities through components like the BI server, client tools, and Mondrian OLAP engine. It allows users to analyze data warehouses across dimensions like time, product, and customer. Key functionality includes an interactive web interface, scheduling, and sharing analysis views. Mondrian in particular provides fast response times, automated aggregation, and support for any JDBC data source through its OLAP capabilities like drilling and slicing.

1. INTRODUCTION TO PENTAHO ANALYSIS

2. Introduction Pentaho analysis(The Mondrian project) helps to operate with maximum effectiveness by gaining the insights and understanding to make optimal decisions. PAS(pentaho analysis services) allows you to interactively analyze data from data warehouses by providing cross-tab style interface on which different dimensions such as time, product, and customer.

4. Design studio

5. Pentaho administration console

6. The Mondrian ROLAP engine

8. OLAP OLAP front end provides an intuitive point-and-click or drag-and-drop interface that will automatically retrieve and format data based on selection made from the user. Other benefits: Drill down: fast zooming in on certain parts of the data cube Drill up: aggregating details to a summary level. Slicing: apply conditions to only look at parts of the cube. Dicing: swapping information from rows to columns and turning the cube to look at it from different angles. Allows user to quickly analyze data and find exceptions or gain insight in business intelligence. Allows employees through out the enterprise, to answer critical business solutions and make better decisions.

9. Through OLAP data can be viewed dimensionally

12. Any JDBC data source is supported

16. Pentaho Schema workbench Pentaho schema work bench is started using the shell script. On windows: double-click on the workbench.bat file On unix systems: start workbench.sh script , you need to make the workbench.sh file executable first.

17. Establishing the connection Choose tools preferences to open the connection dialog window Driver class name: class name of the JDBC driver you are using, for MYSQL, its com.mysql.jdbc.driver Connection URL: it’s the connect string used to connect to database server, assuming you want to connect to employee database on local MYSQL running at port 3306(default) use URL as jdbc:mysql://localhost:3306:/employee Username and password: mention the other details and click on Accept button.

18. Schema work bench window

19. JDBC explorer After establishing the connection open the JDBC explorer window by choosing FilenewJDBC explorer. JDBC explorer displays the tables you can access from the current connection as folders. You can expand the folders to see what folders the tables contain.

20. Creating a simple schema Choose filenewschema to name the schema Right-click on schemaadd cube and name the cube Right-click on cubeadd table and enter the details. Right-click on cubeadd measure , mention the attributes such as name, aggregator, data type.

23. DML- for populating them.

25. Pentaho Analyzer Features: Drag and drop analytical reporting Sort, fill and drill in data dynamically View chart visualizations Can export data to Microsoft excel Customized totals and user-defined calculations Advanced sorting and filtering. Add interactive analytical reports to pentaho dashboards Save and share reports.

26. Analyzer’s interactive analytical reporting allows non-technical user’s to easily understand BI

27. Pentaho user console Intuitive thin client interface Explore style interface for easy navigation Just by simple clicks we can create new analysis views and adhoc reports Can share reports, dashboards and analysis views Scheduling of reports helps in reliable and on-time delivery.