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Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
Introduction To Pentaho Analysis
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Introduction To Pentaho Analysis

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Introduction To Pentaho Analysis Services

Introduction To Pentaho Analysis Services

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  • 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.
  • 3. components
    Pentaho analysis consists of the BI server and
    Client tools and add-ons
    • Schema workbench
    • 4. Design studio
    • 5. Pentaho administration console
    • 6. The Mondrian ROLAP engine
    • 7. Aggregation designer
  • Pentaho analysis offers the following functionality
    Pentaho user-console web interface
    A real-time pentaho analysis view interface
    A complex scheduling sub-system
    The ability to email a published analysis view to other users.
    The ability to create complex analysis schemas
    The ability to improve ROLAP cube performance with aggregation designer
  • 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. Mondrian features and architecture
    Mondrian is an OLAP server written in java.
    Cubes
    • Speed of thought response time
    • 11. Automated aggregation
    open architecture
    • 100% java
    • 12. Any JDBC data source is supported
    • 13. MDX and XML/A
  • MDX-Multi dimensional expressions
    Main query language implemented by Mondrian.
    Plays the same role in Mondrian's API as SQL does in JDBC
    Basic MDX query looks like this
    SELECT { [Measures].[Unit Sales], [Measures].[Store Sales]}
    ON COLUMNS,
    { [Product].members} ON ROWS
    FROM [sales]
    WHERE [Time].[1997].[Q2]
  • 14. Overview of the Architecture
    Mondrian OLAP system has 4 layers
    • The presentation layer:
    End users view and interact
    Pivot tables, bar charts and advanced visualization tools
    • The dimensional layer:
    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.
    • The star layer:
    Maintains the aggregate cache
    • The storage layer:
    RDBMS responsible for providing aggregated cell data and members from dimensional tables.
  • 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.
  • 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.
  • 21.
  • 22. 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
    • DDL-for creating tables
    • 23. DML- for populating them.
    • 24. Mondrian schema-that references the new aggregate tables.
  • 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.

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