Course Outline
Introduction to DataStage
- Overview of ETL process
- Understanding DataStage architecture
- Key components of DataStage
DataStage Administration
- Installation and configuration
- User and security management
- Project setup and environment management
- Job scheduling and management
- Backup and recovery procedures
Data Extraction Techniques
- Connecting to various data sources
- Extracting data from databases, flat files, and external sources
- Data extraction best practices
Data Transformation with DataStage
- Understanding DataStage designer
- Working with different stage types
- Implementing business logic in transformations
- Advanced data transformation techniques
Data Loading and Integration
- Loading data into target systems
- Ensuring data quality and integrity
- Error handling and logging
Performance Tuning and Optimization
- Best practices for performance tuning
- Resource management
- Job sequencing and parallelism
Advanced Topics
- Working with DataStage director
- Debugging and troubleshooting
Summary and Next Steps
Requirements
- Basic understanding of database concepts
- Familiarity with SQL and data warehousing principles
Audience
- IT professionals
- Database administrators
- Developers
Testimonials (5)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
The general topic itself
- Verizon Connect
Course - Amazon Redshift
What I liked most was the trainer's mastery of the subject, his patience and clarity when explaining the concepts, and especially his constant willingness to answer all the questions that arose. It was a really enriching and very enjoyable learning experience.
Patricio Condado - SOKODB
Course - Greenplum Database
Machine Translated
I generally liked the fernando's knowledge.
Valentin de Dianous - Informatique ProContact INC.
Course - Big Data Architect
The subject matter and the pace were perfect.