Corporate Pentaho Training Course

The instructor-led Pentaho training course equips professionals with comprehensive knowledge of Pentaho's suite for data integration and business analytics. The training enhances efficiency by teaching data manipulation, report generation, and interactive analysis to teams. Professionals learn to transform raw data into insightful decisions.

24 - 32 hrs
Instructor-led (On-site/Virtual)
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Pentaho Training

Drive Team Excellence with Pentaho Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Pentaho Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Pentaho corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Pentaho group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Pentaho is a pivotal tool for organizations, allowing them to harness the power of their data for informed decision-making. In today's data-driven landscape, the ability to extract actionable insights from diverse data sources is crucial for staying competitive and responsive to market dynamics. This training, delivered through instructor-led sessions, focuses on the fundamental concepts and applications of Pentaho, emphasizing its significance in optimizing organizational processes and achieving data-driven excellence. The course covers a wide spectrum of Pentaho functionalities, providing professionals with a holistic understanding of its capabilities.

Edstellar's instructor-led Pentaho training course stands out for its distinctive features tailored to meet the unique needs of our participants. We offer virtual/onsite Pentaho training options, ensuring flexibility and accessibility for professionals from diverse locations and backgrounds. The course is highly customizable, allowing organizations and professionals to tailor the training to their specific requirements, ensuring maximum relevance and applicability to their business contexts. Practical experience is at the core of our training approach, with hands-on exercises and real-world projects that enable participants to apply their Pentaho knowledge effectively. 

Key Skills Teams Gain Through Pentaho Training

Pentaho skills corporate training will enable teams to effectively apply their learnings at work.

  • Report and Dashboard Development
  • Advanced Analytics Implementation
  • Data Cleansing and Transformation
  • Pentaho Workflow Design
  • Collaboration and Insights Sharing
  • Automation of Data Processes

Pentaho Training for Employees: Key Learning Outcomes

Edstellar’s Pentaho training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Pentaho workshop, teams will to master essential Pentaho and also focus on introducing key concepts and principles related to Pentaho at work.

Employees who complete Pentaho training will be able to:

  • Develop reports and dashboards for data visualization
  • Implement advanced analytics techniques for data analysis
  • Perform data cleansing, blending, and transformation tasks
  • Design and execute data integration workflows using Pentaho
  • Collaborate and share insights with team members using Pentaho
  • Automate data integration and analytics processes for improved efficiency

Key Benefits of the Pentaho Corporate Training

Attending our Pentaho classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Pentaho training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Pentaho.

  • Enhances data integration and analysis capabilities for improved decision-making
  • Helps to understand the CTools components that provides insights to integrate external libraries
  • Develops the skills in the team to streamline business processes through automated data workflows and reporting
  • Provides insights on the user interface and integration that helps to share reports and dashboards with other users
  • Helps learn how to implement data integration and transformation capabilities through the basic methodologies of business intelligence

Pentaho Training Topics and Outline

Our virtual and on-premise Pentaho training curriculum is divided into multiple modules designed by industry experts. This Pentaho training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Pentaho tool overview
    • Introduction to Pentaho suite
    • Features and benefits of Pentaho
  2. Understanding the Pentaho suite
    • Pentaho Data Integration (PDI)
    • Pentaho Reporting
    • Pentaho Business Analytics
  3. Key features and functionalities of Pentaho
    • Data integration and transformation capabilities
    • Reporting and dashboarding features
    • Advanced analytics and predictive modeling
  4. Introduction to data integration and business intelligence concepts
    • Data integration methodologies
    • Business intelligence fundamentals
  1. Overview of the Business Analytics User Console
    • User interface and navigation
    • Dashboard and report management
  2. Navigating the User Console interface
    • Accessing and exploring reports and dashboards
    • Applying filters and interacting with data
  3. Creating and managing reports
    • Report creation and design
    • Data visualization and formatting options
  4. Interactive data exploration and analysis
    • Drill-down and drill-through functionality
    • Ad hoc querying and filtering
  5. Collaboration and sharing features
    • Sharing reports and dashboards with other users
    • Collaborative annotation and commenting
  1. Introduction to the Report Designer
    • Report Designer interface and components
    • Creating new reports and templates
  2. Creating basic reports and templates
    • Adding data sources and connections
    • Designing report layouts and sections
  3. Formatting and styling reports
    • Applying styles and themes
    • Customizing fonts, colors, and visuals
  4. Incorporating charts and visualizations
    • Adding charts and graphs to reports
    • Configuring chart properties and options
  5. Data filtering and parameterization in reports
    • Creating filters and parameter prompts
    • Implementing dynamic data filtering
  1. Introduction to CTools in Pentaho
    • Overview of CTools components
    • Advantages of using CTools for advanced dashboards
  2. Configuring and customizing CTools components
    • Customizing layout and styles
    • Adding custom functionalities and extensions
  3. Creating advanced dashboards with CTools
    • Building interactive and responsive dashboards
    • Incorporating advanced visualizations and widgets
  4. Integrating external libraries and plugins
    • Extending CTools functionality with external resources
    • Integrating JavaScript libraries and plugins
  5. Best practices for CTools development
    • Performance optimization techniques
    • Testing and debugging CTools dashboards
  1. Introduction to Hadoop and its integration with Pentaho
    • Overview of the Apache Hadoop ecosystem
    • Integration of Pentaho with Hadoop technologies
  2. Understanding Hadoop ecosystem components
    • Hadoop Distributed File System (HDFS)
    • MapReduce and YARN frameworks
  3. Extracting and transforming data with Hadoop using Pentaho
    • Data extraction from Hadoop sources
    • Transformation techniques in Hadoop
  4. Loading data into Hadoop using Pentaho
    • Techniques for loading data into Hadoop
    • Performance optimization for data loading
  5. Performing analytics and reporting on Hadoop data
    • Hadoop-based analytics with Pentaho
    • Reporting and visualization options for Hadoop data
  1. Introduction to predictive analytics
    • Overview of predictive modeling concepts
    • Role of predictive analytics in decision-making
  2. Integration of PDI (Pentaho Data Integration) with Weka
    • Connecting PDI with Weka for predictive modeling
    • Data preprocessing and preparation in Weka
  3. Data preprocessing and feature selection
    • Techniques for data cleaning and normalization
    • Feature selection methods for predictive modeling
  4. Building predictive models using Weka
    • Selecting appropriate algorithms for modeling
    • Training and evaluating predictive models
  5. Deploying and evaluating predictive models in PDI
    • Integrating predictive models into PDI transformations
    • Evaluating model performance and accuracy
  1. Introduction to clustering algorithms and techniques
    • Overview of clustering in data analysis
    • Different clustering algorithms and their applications
  2. Performing clustering analysis with Pentaho
    • Preparing data for clustering
    • Configuring clustering algorithms in Pentaho
  3. Configuring clustering models and parameters
    • Selecting appropriate distance measures
    • Adjusting clustering parameters for optimal results
  4. Interpreting and visualizing clustering results
    • Analyzing and interpreting cluster assignments
    • Visualizing clusters in reports and dashboards
  5. Applications and use cases of clustering in Pentaho
    • Customer segmentation and profiling
    • Anomaly detection and fraud analysis
  1. Introduction to embedding Pentaho
    • Embedding concepts and use cases
    • Benefits of embedding Pentaho in external applications
  2. Embedding reports and dashboards in external applications
    • Integrating Pentaho content through APIs
    • Customizing and styling embedded Pentaho content
  3. Integrating Pentaho components into web portals
    • Embedding reports and dashboards in web portals
    • Single sign-on and authentication integration
  4. Customizing and branding embedded Pentaho solutions
    • Applying custom styles and themes
    • Branding Pentaho content for seamless integration
  5. Security considerations for embedded Pentaho deployments
    • Managing access and permissions for embedded content
    • Securing data and maintaining confidentiality in embedded solutions
  1. Accessing Pentaho support resources
    • Pentaho community forums and knowledge bases
    • Support ticket systems and documentation
  2. Troubleshooting common issues and errors
    • Identifying and resolving common problems in Pentaho
    • Troubleshooting data integration and reporting issues
  3. Performance optimization techniques
    • Tuning Pentaho for improved performance
    • Identifying and resolving performance bottlenecks
  4. Logging and monitoring Pentaho components
    • Configuring logging for error tracking and diagnostics
    • Monitoring system performance and resource utilization
  5. Engaging with the Pentaho community for support
    • Leveraging community forums and user groups
    • Collaborating with fellow Pentaho users and experts
  1. Introduction to BI cubes in Pentaho
    • Overview of multidimensional data modeling
    • Advantages of using BI cubes for analysis
  2. Designing and building BI cubes
    • Defining dimensions and hierarchies
    • Creating measures and aggregations
  3. Dimensional modeling concepts
    • Star schema and snowflake schema
    • Fact and dimension tables
  4. Creating and managing hierarchies
    • Building hierarchical structures in BI cubes
    • Configuring parent-child relationships
  5. Implementing aggregations and calculations in BI cubes
    • Aggregation design and performance optimization
    • Calculated measures and members in BI cubes
  1. Building interactive dashboards with Pentaho
    • Design principles for effective dashboards
    • Dashboard layout and structure
  2. Configuring and connecting dashboards to data sources
    • Connecting dashboards to BI cubes
    • Configuring data source connections and parameters
  3. Designing dashboard layouts and components
    • Adding and arranging components in dashboards
    • Configuring interactive filters and parameters
  4. Applying filters and parameters in dashboards
    • Filtering data in dashboards based on user selections
    • Creating dynamic and cascading filters
  5. Visualizing data with charts and widgets
    • Adding charts, graphs, and visualizations to dashboards
    • Customizing chart properties and interactivity
  1. Understanding data architecture principles
    • Overview of data architecture frameworks
    • Components of a robust data architecture
  2. Designing data models and schemas
    • Entity-relationship modeling
    • Schema design considerations
  3. Data integration and extraction strategies
    • Extract, Transform, Load (ETL) processes
    • Real-time data integration techniques
  4. Implementing data governance and quality measures
    • Data governance frameworks and best practices
    • Data quality assessment and improvement techniques
  5. Data warehouse and data mart concepts
    • Data warehousing architecture and components
    • Building data marts for specific business domains
  1. Introduction to data transformation in Pentaho
    • ETL processes and data transformation concepts
    • Pentaho Data Integration (PDI) for data transformation
  2. Extracting and loading data using ETL processes
    • Data extraction techniques and strategies
    • Loading data into target systems and databases
  3. Data cleansing and filtering techniques
    • Data quality assessment and cleansing
    • Applying filters and transformations for data cleaning
  4. Joining and merging data from multiple sources
    • Data integration and consolidation techniques
    • Joining data using different join types
  5. Data validation and error handling in transformations
    • Validating data integrity and consistency
    • Error handling and exception management in transformations
  1. Overview of Pentaho Flow
    • Introduction to Pentaho Flow components and architecture
    • Advantages of using Pentaho Flow for data processing
  2. Designing and implementing data workflows
    • Building data pipelines and transformations in Pentaho Flow
    • Configuring data sources, destinations, and transformations
  3. Creating data pipelines and transformations
    • Defining data flow steps and dependencies
    • Applying data transformations and manipulations
  4. Data streaming and real-time processing
    • Processing real-time data streams with Pentaho Flow
    • Handling continuous data ingestion and processing
  5. Error handling and recovery mechanisms
    • Implementing error handling and logging in Pentaho Flow
    • Configuring error recovery and restart ability in workflows
  1. Understanding slowly changing dimensions (SCD)
    • Overview of SCD types and their use cases
    • Challenges in managing changing dimensional data
  2. Designing and implementing SCD strategies in Pentaho
    • Mapping SCD types to target tables and fields
    • Implementing SCD logic using Pentaho transformations
  3. Configuring type 1, type 2, and type 3 SCDs in Pentaho
    • Implementing updates and overwrites for type 1 SCDs
    • Handling historical and current records for type 2 SCDs
    • Managing multiple versions and effective dates for type 3 SCDs
  4. Handling historical and incremental data updates
    • Capturing and processing incremental changes in SCDs
    • Maintaining historical data integrity in SCDs
  5. Best practices for deploying SCDs in data integration processes
    • Performance optimization for SCD processing
    • Error handling and data quality checks for SCDs
  1. Introduction to Pentaho repositories
    • Role and benefits of using repositories in Pentaho
    • Repository types and their functionalities
  2. Different types of repositories in Pentaho
    • File-based repository
    • Database repository
    • Enterprise repository
  3. Setting up and configuring repositories
    • Creating and configuring repositories in Pentaho
    • Managing repository connections and access
  4. Managing repository access and permissions
    • User management and access control in repositories
    • Assigning roles and permissions to repository objects
  5. Versioning and backup strategies for repositories
    • Repository version control and history tracking
    • Backup and recovery procedures for repositories
  1. Working with Pentaho repositories
    • Accessing and managing repository content
    • Navigating folders and managing files in repositories
  2. Creating and organizing repository folders and files
    • Creating new folders and organizing repository structure
    • Importing and exporting repository objects
  3. Designing and developing reports in Pentaho Report Designer
    • Creating report templates and layouts
    • Adding data sources and query definitions
    • Designing report elements and formatting options
  4. Publishing and sharing reports through the repository
    • Publishing reports to the repository
    • Sharing reports with users and groups
  5. Repository administration and maintenance tasks
    • Repository backup and restoration
    • Repository optimization and performance tuning
  1. Understanding Multi-Dimensional Expression (MDX)
    • Introduction to MDX language and syntax
    • Role of MDX in OLAP analysis
  2. Syntax and functions of MDX
    • MDX syntax for querying and manipulating multidimensional data
    • MDX functions for calculations, aggregations, and navigation
  3. Writing MDX queries for OLAP analysis
    • Creating basic MDX queries for dimensional analysis
    • Using MDX functions and operators in queries
  4. Aggregating and slicing data using MDX
    • Performing aggregations and roll-ups in MDX
    • Slicing and filtering data based on dimensions and hierarchies
  5. Advanced MDX concepts and techniques
    • Advanced MDX calculations and member formulas
    • Working with sets, tuples, and named sets in MDX
  1. Introduction to Pentaho Analyzer
    • Overview of Pentaho Analyzer for ad hoc analysis
    • Benefits of using Analyzer for self-service analytics
  2. Exploring and analyzing data with Analyzer
    • Connecting to data sources in Analyzer
    • Navigating and exploring data using the Analyzer interface
  3. Creating and customizing Analyzer reports
    • Building interactive reports in Analyzer
    • Adding and arranging report elements
    • Formatting and styling options in Analyzer
  4. Applying filters, calculations, and aggregations in Analyzer
    • Applying filters and conditions to analyze specific data subsets
    • Creating calculated fields and custom metrics in Analyzer
    • Aggregating and summarizing data in Analyzer
  5. Collaboration and sharing features in Analyzer
    • Sharing Analyzer reports with other users
    • Collaborative annotation and commenting in Analyzer
    • Exporting and distributing Analyzer reports
  1. PDI development environment and tools
    • Introduction to PDI development environment
    • Overview of PDI tools and components
  2. Building data integration transformations in PDI
    • Creating PDI transformations using a graphical interface
    • Configuring input, output, and transformation steps
  3. Advanced transformations and data manipulation techniques
    • Applying advanced transformations and scripting in PDI
    • Working with lookup and merge steps in PDI
  4. Scripting and customization in PDI
    • Using JavaScript and other scripting languages in PDI
    • Customizing transformations and steps with scripts
  5. Debugging and performance optimization in PDI development
    • Debugging and troubleshooting techniques in PDI
    • Performance optimization tips for PDI transformations
  1. Integrating Pentaho with Hadoop ecosystem components
    • Overview of the Hadoop ecosystem and integration with Pentaho
    • Connecting Pentaho with Hadoop Distributed File System (HDFS)
  2. Extracting and loading data from Hadoop using PDI
    • Reading data from Hadoop sources using PDI
    • Loading data into Hadoop using PDI transformations
  3. Transforming and processing data on Hadoop
    • Performing data transformations on Hadoop using PDI
    • Configuring Hadoop-specific processing steps in PDI
  4. Configuring and optimizing ETL processes in Hadoop
    • Optimizing data extraction and loading in Hadoop
    • Performance tuning techniques for Hadoop ETL processes
  5. Handling big data challenges in Hadoop integration
    • Dealing with large volumes of data in Hadoop
    • Managing scalability and performance in Hadoop ETL
  1. Performance optimization techniques for Pentaho solutions
    • Overview of performance tuning in Pentaho
    • Importance of optimizing system resources and efficiency
  2. Identifying and resolving performance bottlenecks
    • Analyzing and diagnosing performance issues in Pentaho
    • Identifying and resolving resource-intensive operations
  3. Memory management and caching strategies
    • Configuring memory allocation and usage in Pentaho
    • Leveraging caching mechanisms for improved performance
  4. Parallel processing and data partitioning techniques
    • Parallelizing data processing in Pentaho transformations
    • Partitioning data for distributed processing
  5. Monitoring and fine-tuning Pentaho performance
    • Implementing performance monitoring and logging
    • Fine-tuning system settings and configurations for optimal performance
  1. Pentaho security models and concepts
    • Understanding security models in Pentaho
    • Authentication and authorization mechanisms
  2. Configuring user authentication and authorization
    • Setting up user authentication methods in Pentaho
    • Managing user roles and permissions
  3. Implementing role-based access control
    • Role-based access control principles and practices
    • Assigning permissions based on user roles
  4. Data encryption and secure communication
    • Ensuring data security with encryption techniques
    • Securing communication channels in Pentaho
  5. Auditing and compliance measures for Pentaho security
    • Implementing auditing and logging for security monitoring
    • Compliance considerations and best practices for Pentaho security

This Corporate Training for Pentaho is ideal for:

What Sets Us Apart?

Pentaho Corporate Training Prices

Our Pentaho training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Pentaho training cost and take the first step toward maximizing your team's potential.

Request for a quote to know about our Pentaho corporate training cost and plan the training initiative for your teams. Our cost-effective Pentaho training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Pentaho training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

Target Audience for Pentaho Training Course

The Pentaho training is ideal for data analysts, scientists, BI developers, solution architects, business intelligence developers, IT professionals, decision-makers, and database administrators.

The Pentaho training program can also be taken by professionals at various levels in the organization.

Pentaho training for managers

Pentaho training for staff

Pentaho training for leaders

Pentaho training for executives

Pentaho training for workers

Pentaho training for businesses

Pentaho training for beginners

Pentaho group training

Pentaho training for teams

Pentaho short course

Prerequisites for Pentaho Training

There are no prerequisites for taking the Pentaho training. However, having a basic knowledge of data management concepts, SQL, programming, business intelligence, and analytics would be advantageous.

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Bringing you the Best Pentaho Trainers in the Industry

The instructor-led Pentaho training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Pentaho Access practices.

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Training Delivery Modes for Pentaho Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Pentaho training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.


Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.


Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.


Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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