Pentaho Training

7254 Learners

Pentaho is one of the most used and efficient business analytics tool used by different organizations across the industries. The tool offers the capabilities of data integration, data mining, reporting and other data analytics features. Due to its effective result-output, it has been widely used by organizations across the world.

Multisoft Systems, as a quality training provider, and in accordance with the growing importance of business analysis, provides highest-level Pentaho training for the aspirants. The Pentaho business analytics course from the experts helps learners get an understanding of the topics, including Dimensional modeling and Designing, Clustering in Pentaho, adding constant and sequence, String operation & string cut, Filtering rows and much more.

The course o provdes knowledge of additional concepts related to Pentaho, including:

  • Star schema –what and by (language)
  • Star schema-what and by (model)
  • How to create a connection in DB
  • Data Grid
  • Working with Hive with ETL Tool
  • How to make ETL dynamic
  • Replace in string
  • How to use a parameter within a transformation
Target audience
  • Business Analyst
  • BI Developer
  • Data Scientist
  • DW Programmer
  • Solution Architect
Prerequisites

Data warehouse concepts, Basic Database concepts, understanding of any one programming language, and basic knowledge to IT terms.

Pentaho is one of the most used and efficient business analytics tool used by different organizations across the industries. The tool offers the capabilities of data integration, data mining, reporting and other data analytics features. Due to its effective result-output, it has been widely used by organizations across the world.

Multisoft Systems, as a quality training provider, and in accordance with the growing importance of business analysis, provides highest-level Pentaho training for the aspirants. The Pentaho business analytics course from the experts helps learners get an understanding of the topics, including Dimensional modeling and Designing, Clustering in Pentaho, adding constant and sequence, String operation & string cut, Filtering rows and much more.

The course o provdes knowledge of additional concepts related to Pentaho, including:

  • Star schema –what and by (language)
  • Star schema-what and by (model)
  • How to create a connection in DB
  • Data Grid
  • Working with Hive with ETL Tool
  • How to make ETL dynamic
  • Replace in string
  • How to use a parameter within a transformation
Target audience
  • Business Analyst
  • BI Developer
  • Data Scientist
  • DW Programmer
  • Solution Architect
Prerequisites

Data warehouse concepts, Basic Database concepts, understanding of any one programming language, and basic knowledge to IT terms.

Pentaho Training Course Content

1. Basic Conceptual Architecture & Architectural Components

  • What is pentaho
  • Dimensional modeling
  • Dimensional design
  • Star schema-what and by (model)
  • Star schema –what and by (language)
  • Conformed dimensions
  • Additive vs. semi-additive facts
  • Snow flake schema
  • Star vs. Dimensional schema
  • Slowly changing dimensions

2. Clustering in Pentaho

  • Files in pentaho
  • Spoon.bat
  • Pan.bat
  • Kitech.bat
  • Carte.bat
  • Encr.bat
  • Spoon transformation and its steps of transformation
  • How to create a connection in DB
  • How to move a data from CSV file input to table output
  • How to move the data from CSV file input to the Microsoft excel output
  • How to move the data from Microsoft excel input to write to log
  • Data Grid
  • Generate rows

3. Data Transformation-Changing the Data from one form to another form

  • How to add constant
  • How to add sequence
  • Add value field changing sequence
  • How the calculator work in pentaho
  • No. range in pentaho
  • Replace in string
  • Select values-select field value
  • Select field value to constant
  • Sort rows
  • Split field to rows
  • String operation-string cut
  • Unique rows
  • Unique rows (hash set)
  • Value mapper

4. Flow

  • Revision of SSH command
  • How to handle the null value in pentaho
  • Mail in pentaho
  • Error handling in pentaho
  • Filter rows
  • Priorities stream

5. Implementation of SCD & Jobs

  • Revision of SCD type 2
  • Jobs
  • Differences between jobs and transformation
  • How to make ETL dynamic
  • How to make transformation dynamic
  • File management
  • Create folder
  • Conditions
  • Scripting
  • Bulk loading
  • XML
  • Utility
  • Repository
  • File transfer
  • File encryption

6. Types of Repository in Pentaho

  • How to make ETL dynamic
  • Difference between parameter and variable
  • How to pass a variable from a job to transformation
  • How to use a parameter within a transformation
  • How to set and get the value from a job to a transformation
  • Environmental variable
  • Functionality of repository in pentaho
  • Data base connection
  • Repository import

7. Pentaho Repository & Report Designing

  • Basic operational report/dashboard
  • Row bending effect in pentaho
  • Report designing
  • How to public the report/dashboard
  • How pentaho server BI looks like
  • How to create Bar chart, Pi chart and Line chart in pentaho
  • Limitation of design the product
  • Sub report/dashboard in pentaho

8. Adhoc Reporting/Dashboard

  • How to pass parameter in report/dashboard?
  • Drill down report/dashboard
  • How to create report/dashboard using cubes?
  • How to create report/dashboard using excel sheet?
  • How to create report/dashboard using Pentaho Data Integration

9. What is Cube

  • What are the benefit of cube?
  • How to create the cube?
  • How to deploy a cube?
  • How to create a report/dashboard using a cube?

10. What is MDX?

  • MDX basics
  • MDX in practice
  • Cells
  • Tuple implicit added aggregation member
  • Tuple
  • Tuple implicit dimensions
  • Sets in MDX
  • Selects
  • Referencing dimensions,level members
  • Member referencing
  • Positional
  • Hierarchical navigation
  • Hierarchical navigation MISC
  • Functions
  • Meta data

11. Creating Pentaho Analyzer Report

12. ETL Connectivity with Hadoop Ecosystem

  • How ETL tools work in Big data Industry
  • Connecting to HDFS from ETL tool and moving data from Local system to HDFS
  • Moving Data from DBMS to HDFS
  • Working with Hive with ETL Tool
  • Creating Map Reduce job in ETL tool
  • End to End ETL PoC showing Hadoop integration with ETL tool

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