SAP DS (Data Services)

Module 1: Introduction to SAP Data Services

• Overview of SAP Data Services (BODS)
• BODS use cases: ETL, data quality, data migration
• BODS architecture: Designer, Job Server, Repository
• Integration with SAP BW, HANA, and non-SAP sources
• BODS vs. SAP Data Intelligence

Module 2: BODS Architecture and Components

• Designer client and management console
• Job server and access server
• Local and central repositories
• Metadata management
• BODS deployment options

Module 3: Data Flows and Jobs

• Job, work flow, and data flow hierarchy
• Source and target datastores
• Data flow design and execution
• Conditional branching and scripts
• Job scheduling and automation

Module 4: Transforms and Functions

• Query transform and mapping
• Data integrator transforms
• Data quality transforms
• XML and flat file transforms
• Custom functions and scripts

Module 5: Source and Target Datastores

• Database datastores: Oracle, SQL Server, HANA
• SAP Application datastores: R/3, BW
• File formats: CSV, XML, Excel
• Web services and OData sources
• Adapter SDK for custom connectors

Module 6: Data Quality Management

• Data cleansing transforms
• Address validation
• Data standardization rules
• Duplicate record detection
• Data quality dashboards

Module 7: CDC (Change Data Capture)

• CDC concepts and methods
• Log-based CDC configuration
• Timestamp-based CDC
• Real-time data replication
• CDC monitoring and error handling

Module 8: SAP Data Migration with BODS

• Migration methodology with BODS
• Source system analysis and profiling
• Mapping and transformation rules
• Reconciliation and validation
• Migration cutover support

Module 9: Performance Optimization

• Parallel data flows
• Pushdown optimization
• Caching strategies
• Partitioned loading
• Job performance monitoring

Module 10: Error Handling and Monitoring

• Error log analysis
• Recovery mechanisms
• Email notifications for failures
• Repository management and cleanup
• BODS administrator console

Module 11: BODS and SAP HANA Integration

• Loading data into SAP HANA
• HANA-specific optimizations
• Real-time replication to HANA
• Smart Data Access with BODS
• Migration to SAP Data Intelligence

Module 12: Real-Time Projects and Case Studies

• SAP ECC to S/4HANA data migration
• Data warehouse ETL implementation
• End-to-end BODS project
• Certification and interview preparation

Experience in the Industry Gain knowledge from experts with hands-on SAP Data Services project experience in data migration and ETL implementations.

Backgrounds at the Top Prominent corporations such as HCL, TCS, Accenture, and Capgemini employ our SAP BODS trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex ETL design and data quality management.

Hands-On Learning Focus Students apply skills using live SAP BODS environments with real data migration and ETL projects.

Up-to-Date Knowledge Trainers stay current with SAP BODS, Data Intelligence migration paths, and latest data management best practices.