Ab Initio ETL – Data Integration & Processing

Module 1: Introduction to Ab Initio

• Ab Initio overview: high-performance data processing and ETL platform
• Ab Initio architecture: Co>Operating System, GDE, and EME
• Ab Initio components: GDE, Co>Operating System, and Metadata Hub
• Ab Initio licensing: enterprise and departmental deployment models

Module 2: Graphical Development Environment (GDE)

• GDE interface: canvas, components panel, and project navigator
• Graph structure: components, flows, and ports
• Running graphs: local and remote sandbox execution
• GDE debugging: tracing data flow and component output inspection

Module 3: Core Ab Initio Components

• Input and output components: read and write file, database, and FTP
• Transform components: reformat, filter, and normalise
• Join and lookup components: join, lookup file, and lookup in memory
• Sort and aggregate: sort, rollup, and dedup-sorted components

Module 4: Ab Initio Data Types and Expressions

• Ab Initio data types: integer, decimal, string, date, and record
• DML (Data Manipulation Language): defining record formats
• Ab Initio expressions: built-in functions for string, date, and numeric
• User-defined functions: writing custom transformation functions

Module 5: Parallel Processing

• Ab Initio parallelism: data partitioning for parallel execution
• Partition components: round-robin, by key, and by range
• Departition: collecting parallel data streams into a single output
• MFS (Multi-File System): Ab Initio's parallel file system

Module 6: Control Flow and Conditional Logic

• Conduct It: Ab Initio's workflow and job scheduling tool
• If-Then-Else phases: conditional execution in Ab Initio plans
• Loop phases: iterative processing with Conduct It
• Error handling: abort and notify components in Ab Initio graphs

Module 7: Ab Initio EME and Metadata Management

• Enterprise Meta Environment (EME): centralised metadata repository
• Checking in and out: version control for Ab Initio projects
• Dependency analysis: understanding lineage in Ab Initio projects
• Data profiling: analysing source data quality with Ab Initio

Module 8: Capstone Project and Assessment

• End-to-end ETL graph: source extraction, transformation, and load
• Parallel processing: partitioned data pipeline with rollup and join
• Conduct It plan: workflow scheduling with conditional phases
• Final assessment and course certification

Experience in the Industry Gain expertise from Ab Initio ETL developers who have built high-volume data processing pipelines for financial services, telecommunications, and retail organisations where Ab Initio powers mission-critical data integration.

Backgrounds at the Top Our Ab Initio trainers have worked at global banks, insurance companies, and telecom providers where Ab Initio's parallel processing capabilities handle billions of records in nightly batch ETL workloads.

Clear & Effective Teaching Ab Initio GDE, core components, DML, parallel processing, Conduct It workflow, EME metadata management, data profiling, and ETL best practices are explained with real enterprise data integration examples.

Hands-On Learning Focus Students build Ab Initio graphs, apply parallel partitioning, write DML and expressions, create Conduct It plans, manage versions in EME, and profile source data through structured hands-on ETL development labs.

Up-to-Date Knowledge Trainers keep content current with the latest Ab Initio platform releases, Ab Initio on cloud deployments, and evolving enterprise ETL and data integration best practices.