Course Outline
Introduction
Installing and Configuring Pentaho
Overview of Pentaho Features and Architecture
Understanding Pentaho's In-Memory Caching
Navigating the User Interface
Connecting to a Data Source
Configuring the Pentaho Enterprise Repository
Transforming Data
Viewing the Transformation Results
Resolving Transformation Errors
Processing a Data Stream
Reusing Transformations
Scheduling Transformations
Securing Pentaho
Integrating with Third-party Applications (Hadoop, NoSQL, etc.)
Analytics and Reporting
Pentaho Design Patterns and Best Practices
Troubleshooting
Summary and Conclusion
Requirements
- An understanding of relational databases
- An understanding of data warehousing
- An understanding of ETL (Extract, Transform, Load) concepts
Testimonials (5)
Practical classes, exercises, possibility of applying the discussed solutions in practice.
Agnieszka - Izba Administracji Skarbowej
Course - Platforma analityczna KNIME - szkolenie kompleksowe
Machine Translated
knowledge, exemplary training
Krzysztof Kantorski - Santander
Machine Translated
Prepared material. Full professionalism. Very good contact with the trainer. Full engagement and openness to changing the planned training format (very valuable open discussions on the topics we prepared)
Kamil Trebacz - Bank Gospodarstwa Krajowego
Course - Pentaho Data Integration (PDI) - moduł do przetwarzania danych ETL (poziom zaawansowany)
Machine Translated
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.