Ab Initio Training introduces the architecture, components, and development practices used to build enterprise-grade data integration solutions. You will learn how to design scalable ETL workflows, process large volumes of data efficiently, and manage metadata, scheduling, and deployment using the core capabilities of the Ab Initio platform.
Prerequisites:
No strict prerequisites, but familiarity with the following concepts is highly recommended to maximize learning:
- Database Fundamentals and SQL
- Basic Programming Concepts (e.g., flow control, variables)
- Basic understanding of ETL Processes and Data Warehousing
- Familiarity with Unix/Linux commands
What You Will Learn:
- Fundamentals of data warehousing and ETL processes
- Architecture and components of the Ab Initio platform
- How to build and manage data processing graphs
- Use of core components for data transformation, file, and database handling
- Defining data structures with Ab Initio’s Data Manipulation Language (DML)
- Techniques for implementing parallelism for efficient processing
- Work with MultiFile System (MFS) for large datasets
- Metadata management and version control using Enterprise Meta>Environment (EME)
- Job scheduling, phasing, and checkpointing for job control
- Performance tuning to optimize graph execution
- Debugging and data validation skills
- Automating job execution and deployment with shell scripting
Tools and Technologies Covered
- Ab Initio Co>Operating System (Co>Op)
- GDE (Graphical Development Environment)
- Metadata Hub
- Express>It & Conduct>It
- ETL components and data processing graphs
- Parallel processing and performance tuning
- Unix/Linux and shell scripting
- SQL and relational databases
- Data warehousing concepts
- Scheduling, debugging, and error handling
