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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types.
- Managing fields, metadata, and dynamic structures.
- Leveraging reusable transformation patterns.
Parameters, Variables, and Job-Oriented Design
- Understanding runtime variables and scoping.
- Parameterizing transformations for flexibility.
- Designing parent-child job structures.
Database Integration and Lookup Strategies
- Mastering advanced lookup steps.
- Implementing effective caching strategies.
- Designing efficient join operations.
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats.
- Interacting with REST and SOAP services.
- Executing streaming and batch data loads.
Error Handling and Data Quality Techniques
- Capturing and routing error data.
- Applying data validation patterns.
- Conducting auditing and logging procedures.
Performance Tuning Essentials
- Optimizing step design for efficiency.
- Addressing memory usage and threading considerations.
- Identifying and resolving bottlenecks.
Introduction to Repository-Based Development
- Utilizing the Pentaho repository.
- Managing version control.
- Adopting team collaboration practices.
Deployment and Migration Practices
- Moving jobs across different environments.
- Managing configurations.
- Following operational best practices.
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals.
- Prior experience using Pentaho Data Integration.
- Foundational knowledge of data warehousing concepts.
Target Audience
- ETL developers.
- Data engineers.
- Technical professionals seeking to expand their PDI expertise.
21 Hours
Testimonials (2)
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.
