PENTAHO TRAINING

Pentaho user console, Overview of Pentaho Business Intelligence and Analytics tools, database dimensional modelling, using Star Schema for querying large data sets, understanding fact tables and dimensions tables, Snowflake Schema, principles of Slowly Changing Dimensions, knowledge of how high availability is supported for the DI server and BA server, managing Pentaho artifacts Knowledge of big data solution architectures.

Hands-on Exercise – Schedule a report using user console, Create model using database dimensional modeling techniques, create a Star Schema for querying large data sets, Use fact tables and dimensions tables, manage Pentaho artifacts

Understanding the basics of clustering in Pentaho Data Integration, creating a database connection, moving a CSV file input to table output and Microsoft Excel output, moving from Excel to data grid and log.

Hands-on Exercise – Create a database connection, move a csv file input to table output and Microsoft excel output, move data from excel to data grid and log

The Pentaho Data Integration Transformation steps, adding sequence, understanding calculator, Pentaho number range, string replace, selecting field value, sorting and splitting rows, string operation, unique row and value mapper, Usage of metadata injection

Hands-on Exercise – Practice various steps to perform data integration transformation, add sequence, use calculator, work on number range, selecting field value, sorting and splitting rows, string operation, unique row, and value mapper, use metadata injection.

Working with secure socket command, Pentaho null value and error handling, Pentaho mail, row filter and priorities stream.

Hands-on Exercise – Work with secure socket command, Handle null values in the data, perform error handling, send email, get row filtered data, set stream priorities

Understanding Slowly Changing Dimensions, making ETL dynamic, dynamic transformation, creating folders, scripting, bulk loading, file management, working with Pentaho file transfer, Repository, XML, Utility and File encryption.

Hands-on Exercise – Make ETL dynamic transformation, create folders, write scripts, load bulk data, perform file management ops, work with Pentaho file transfer, XML utility and File encryption

Learning to create a Talend Job, working with Delimited file, working with Meta Data, schema for data integration, understanding Propagation, deploying of tFilterRow and string filter for creating Jobs, creation of CSV file.

Creating dynamic ETL, passing variable and value from job to transformation, deploying parameter with transformation, importance of Repository in Pentaho, database connection, environmental variable and repository import.

Hands-on Exercise – Create dynamic ETL, pass variable and value from job to transformation, deploy parameter with transformation, connect to a database, set pentaho environmental variables, import a repository in the pentaho workspace

Working with Pentaho dashboard and Report, effect of row bending, designing a report, working with Pentaho Server, creation of line, bar and pie chart in Pentaho, How to achieve localization in reports

Hands-on Exercise – Create Pentaho dashboard and report, check effect of row bending, design a report, work with Pentaho Server, create line, bar and pie chart in Pentaho, Implement localization in a report

Working with Pentaho Dashboard, passing parameters in Report and Dashboard, drill-down of Report, deploying Cubes for report creation, working with Excel sheet, Pentaho data integration for report creation.

Hands-on Exercise – Pass parameters in Report and Dashboard, deploy Cubes for report creation, drill-down in report to understand the entries, import data from an excel sheet, Perform data integration for report creation

What is a Cube? Creation and benefit of Cube, working with Cube, Report and Dashboard creation with Cube.

Hands-on Exercise – Create a Cube, create report and dashboard with Cube

Understanding the basics of Multi-Dimensional Expression (MDX), basics of MDX, understanding Tuple, its implicit dimensions, MDX sets, level, members, dimensions referencing, hierarchical navigation, and metadata.

Hands-on Exercise – Work with MDX, Use MDX sets, level, members, dimensions referencing, hierarchical navigation, and metadata

Pentaho analytics for discovering, blending various data types and sizes, including advanced analytics for visualizing data across multiple dimensions, extending Analyzer functionality, embedding BA server reports, Pentaho REST APIs

Hands-on Exercise – Blend various data types and sizes, Perform advanced analytics for visualizing data across multiple dimensions, Embed BA server report

Knowledge of the PDI steps used to create an ETL job, Describing the PDI steps to create an ETL transformation, Describing the use of property files

Hands-on Exercise – Create an ETL transformation using PDI steps, Use property files

Deploying ETL capabilities for working on the Hadoop ecosystem, integrating with HDFS and moving data from local file to distributed file system, deploying Apache Hive, designing MapReduce jobs, complete Hadoop integration with ETL tool.

Hands-on Exercise – Deploy ETL capabilities for working on the Hadoop ecosystem, Integrate with HDFS and move data from local file to distributed file system, deploy Apache Hive, design MapReduce jobs

Creating interactive dashboards for visualizing highly graphical representation of data for improving key business performance.

Hands-on Exercise – Create interactive dashboards for visualizing graphical representation of data

Managing BA server logging, tuning Pentaho reports, monitoring the performance of a job or a transformation, Auditing in Pentaho

Hands-on Exercise – Manage logging in BA server, Fine tune Pentaho report, Monitor the performance of an ETL job

Integrating user security with other enterprise systems, Extending BA server content security, Securing data, Pentaho’s support for multi-tenancy, Using Kerberos with Pentaho

Hands-on Exercise – Configure security settings to implement high level security.