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INTRODUCTION TO PENTAHO ANALYSIS
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.
components Pentaho analysis consists of the BI server and  Client tools and add-ons ,[object Object]
Design studio
Pentaho administration console
The Mondrian ROLAP engine
Aggregation designer,[object Object]
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.
Through OLAP data can be viewed dimensionally
Mondrian features and architecture Mondrian is an OLAP server written in java. Cubes ,[object Object]
Automated aggregation open architecture ,[object Object]
Any JDBC data source is supported
MDX and XML/A,[object Object]
Overview of the Architecture Mondrian OLAP system has 4 layers ,[object Object],End users view and interact  Pivot tables, bar charts and advanced visualization tools ,[object Object],Parses, validates and executes MDX queries. Query transformer manipulates the existing queries Metadata describes the dimensional model and how it maps onto the relational model. ,[object Object],Maintains the aggregate cache ,[object Object],RDBMS responsible for providing aggregated cell data and members from dimensional tables.
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.
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.
Schema work bench window
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.
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.
Pentaho aggregation designer Simplifies creation and deploying of aggregate tables that improves performance of pentaho analysis(Mondrian) OLAP cubes. OLAP engine that works with the data stored in the RDBMS Simplified deployment and data management Aggregate designer generates ,[object Object]

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Introduction to Pentaho Analysis Services (PAS

  • 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.
  • 3.
  • 7.
  • 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
  • 10.
  • 11.
  • 12. Any JDBC data source is supported
  • 13.
  • 14.
  • 15.
  • 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.
  • 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.
  • 21.
  • 22.
  • 24.
  • 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.