Use Pentaho Data Integration tool for ETL & Data warehousing. Do ETL development using PDI 9 without coding background
β±οΈ Length: 9.4 total hours
β 4.44/5 rating
π₯ 65,991 students
π October 2025 update
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- Course Overview:
- Embark on the Pentaho for ETL & Data Integration Masterclass 2025 – PDI 9, your definitive guide to mastering data transformation and warehousing with the latest PDI version.
- This masterclass empowers you to perform complex Extract, Transform, and Load (ETL) operations using Pentaho Data Integration (PDI), also known as Kettle, without needing any prior coding experience.
- Delve into the core principles of data warehousing, understanding how PDI facilitates the construction and maintenance of robust data repositories.
- Learn to meticulously craft visual data pipelines that efficiently move and shape data from diverse sources into valuable business assets.
- Updated for October 2025, this 9.4-hour course ensures you’re learning the most current techniques and features of PDI 9.
- Join over 65,991 satisfied students with a high 4.44/5 rating, reflecting a proven and effective learning methodology focused on practical application.
- Gain the critical ability to bridge the gap between raw organizational data and insightful business intelligence reports, driving better strategic decisions.
- Understand the entire data integration ecosystem, from initial data ingestion to final data delivery in desired formats.
- Requirements / Prerequisites:
- Absolutely no coding or programming background is required; the course is built for visual learning.
- Basic computer operational skills, including file management and navigation, are sufficient.
- A reliable internet connection for accessing course materials and downloading necessary software.
- Access to a computer (Windows, macOS, or Linux) with administrative rights to install the free Pentaho Data Integration Community Edition.
- A genuine enthusiasm for working with data and solving data-related challenges.
- Skills Covered / Tools Used:
- Pentaho Data Integration (PDI / Kettle 9): Expert command of the leading open-source ETL platform.
- Visual ETL Pipeline Development: Designing sophisticated data transformations and job flows through PDI’s intuitive graphical user interface.
- Comprehensive Data Source Connectivity: Establishing efficient connections to various data sources, including databases, flat files, cloud storage, and even API endpoints.
- Advanced Data Quality & Validation: Implementing rules and checks to ensure the accuracy, consistency, and completeness of your integrated data.
- Complex Data Transformation Logic: Applying a wide array of transformation steps for data aggregation, normalization, denormalization, lookups, and calculated fields.
- Database Interaction & Management: Executing SQL commands, managing table structures, and performing bulk data operations directly within PDI workflows.
- Automated Job Scheduling & Orchestration: Setting up automated sequences of transformations and jobs for continuous, unattended data processing.
- Robust Error Handling & Logging: Developing resilient ETL processes that gracefully handle errors, log issues, and facilitate quick troubleshooting.
- Dimensional Modeling Application: Practically applying data warehousing concepts like star schema, snowflake schema, and handling Slowly Changing Dimensions (SCDs) using PDI.
- Performance Tuning Strategies: Optimizing PDI jobs and transformations for efficient processing of large datasets and improved execution times.
- Metadata Injection for Dynamic ETL: Leveraging PDI’s powerful Metadata Injection feature to build highly flexible and reusable ETL templates.
- Benefits / Outcomes:
- Become a Highly Capable ETL Developer: Gain the autonomy to design, develop, and deploy full-fledged ETL solutions from conceptualization to production.
- Elevate Your Career Trajectory: Open doors to in-demand roles in data engineering, data warehousing, business intelligence, and data analytics without requiring prior programming skills.
- Automate and Streamline Data Processes: Drastically reduce manual effort and human error by implementing efficient, automated data acquisition and transformation workflows.
- Ensure Data Integrity & Reliability: Play a pivotal role in delivering high-quality, trustworthy data that forms the foundation for critical business insights and decisions.
- Build a Strong Professional Portfolio: Construct a collection of practical ETL projects, demonstrating your hands-on expertise with PDI to prospective employers.
- Master Data Governance Principles: Understand and apply best practices in data management, ensuring compliance and consistency across organizational data assets.
- Solve Complex Data Integration Challenges: Develop a systematic approach to identify, analyze, and resolve intricate data movement and transformation problems effectively.
- Foundational Knowledge for Big Data: Establish a strong base in data integration that can be extended to understanding and working with big data platforms and cloud ETL solutions.
- PROS:
- No Coding Experience Needed: Makes advanced data integration accessible to a broader audience, including those from business or analytical backgrounds.
- Highly Practical and Hands-On: Focuses on real-world application, allowing learners to build and deploy actual ETL solutions.
- Industry-Recognized Open-Source Tool: Teaches a widely used, powerful, and free ETL tool with extensive community support and resources.
- Comprehensive Skill Development: Covers a vast array of ETL scenarios, from basic data extraction to complex transformations and data warehousing.
- Flexible, Self-Paced Learning: Offers the convenience to learn at your own speed and revisit concepts as needed, fitting diverse schedules.
- Strong Learning Community: Benefit from the experience of over 65,000 students and a high course rating, indicating effective instruction.
- Cost-Effective Skill Acquisition: Provides high-value professional skills without the need for expensive software licenses.
- CONS:
- Specific Tool Vendor Lock-in (Conceptual): While highly proficient in PDI, the course’s focus means less direct exposure to other popular proprietary or cloud-native ETL platforms.
Learning Tracks: English,Business,Business Analytics & Intelligence
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