SAP BODS Training (Data Services and Data Migration)
SAP BODS training teaches you the ETL and data migration skills that every S/4HANA project needs.
- 40 hours
- Beginner
- Live online
What is SAP BODS Training (Data Services and Data Migration)?
SAP BODS training teaches you the ETL and data migration skills that every S/4HANA project needs. You cover the Data Services architecture with job server, repositories and Management Console, Designer objects from projects down to dataflows, source and target datastores, the transform library including query, case, merge, map operation, table comparison and history preserving, data quality transforms for cleansing and matching, error handling and recovery, migration approaches including the S/4HANA migration cockpit with staging tables, scheduling, and performance tuning for large loads.
What you get
- Explain the Data Services architecture and repository model
- Build jobs, workflows and dataflows that others can maintain
- Use the core transform library confidently
- Apply data quality transforms for cleansing and matching
Who this course is for
New to the field
- Data migration analysts on ERP projects
- ETL developers entering the SAP world
- Consultants adding migration capability
Working professionals
- Teams running an S/4HANA data migration
- BI and data warehouse developers
- Anyone supporting an existing BODS estate
Prerequisites
- SQL knowledge is important.
- Database or data migration experience helps.
- No ABAP required.
What you will be able to do
- Explain the Data Services architecture and repository model
- Build jobs, workflows and dataflows that others can maintain
- Use the core transform library confidently
- Apply data quality transforms for cleansing and matching
- Design a migration approach with the S/4HANA migration cockpit
- Build recoverable loads with validation and audit
- Tune performance with pushdown and parallelism
Salary range
- India
- 6-24 LPA
- United States
- 100k-145k
Market ranges for SAP BODS / Data Migration Consultant, not a guarantee. Actual pay depends on experience, location and employer.
Curriculum
Data Services architecture
Understand the components before building jobs.
- Data Services architecture and components
- Job server, access server and repositories
- Local, central and profiler repositories
- Designer, Management Console and Server Manager
- Datastores: database, application and adapter
- Connecting to SAP ECC and S/4HANA
- Formats: flat file, XML, Excel
- Environment strategy: development to production
Jobs, workflows and dataflows
Learn the object hierarchy you will build everything with.
- Projects, jobs, workflows and dataflows
- Execution order and conditional flow
- Scripts, variables and parameters
- Global versus local variables
- Try/catch blocks and error handling
- Reusable objects and object library
- While loops and conditionals
- Structuring a job that others can maintain
Core transforms
Master the transforms that do most real work.
- Query transform: the workhorse
- Case, merge and validation transforms
- Map operation and row types
- Table comparison for change detection
- History preserving for slowly changing dimensions
- Key generation and surrogate keys
- Pivot and reverse pivot
- Row generation and SQL transform
Data quality and cleansing
Fix the data, not just move it.
- Data profiling in Designer
- Address cleanse and global address cleanse
- Data cleanse transform and dictionaries
- Match transform and match strategies
- Duplicate identification and consolidation
- Best record selection
- Data quality scorecards
- Deciding what to cleanse and what to reject
SAP data migration approaches
Do the job that most BODS projects actually exist for.
- Migration strategy and scope decisions
- S/4HANA migration cockpit: file versus staging
- Staging table approach with BODS
- Migration objects and their structures
- Legacy data extraction patterns
- Value mapping and cross-reference tables
- Load sequencing and dependencies
- Reconciliation and sign-off evidence
Error handling, recovery and validation
Make loads restartable and provable.
- Recovery mechanisms and recoverable workflows
- Automatic recovery and manual restart
- Error tables and rejected row handling
- Validation transform and rule design
- Audit points and audit rules
- Reconciliation reports
- Row count and value reconciliation
- Explaining a failed load credibly
Scheduling, performance and operations
Run it in production without surprises.
- Scheduling in Management Console
- External scheduling and command line execution
- Monitoring jobs and reading trace logs
- Performance: degree of parallelism
- Bulk loading and array fetch tuning
- Pushdown: getting work into the database
- Memory versus pageable cache
- Documentation and handover for support
Projects you will build
Migration dataflow build
Extract legacy customer and material data, cleanse and map it, then load it through staging tables into S/4HANA with reconciliation.
Data quality pipeline
Profile a dirty data set, cleanse addresses, run matching to identify duplicates, select best records and produce a quality scorecard.
Recovery and performance
Build a recoverable job with validation and audit rules, break it deliberately, restart it, then tune it with pushdown and parallelism.
Tools you will use
- Data Services Designer
- The development environment where all jobs and dataflows are built.
- Management Console
- Scheduling, monitoring, trace logs and administration.
- Transform library
- Query, table comparison, map operation and the data quality transforms.
- Data profiling
- Understanding source data before designing anything, which most projects skip.
- S/4HANA migration cockpit
- Staging tables and migration objects, the target of most migration work.
- Reconciliation reporting
- Row and value comparison that gets a migration signed off.
Certification
- Exam
- SAP has retired the dedicated Data Services associate exam. We prepare you against SAP's Data Services product documentation and learning content, and note the Datasphere and Integration Suite certifications as adjacent current credentials.
What learners say
Table comparison and recovery are the two things that separate a job that survives cutover from one that does not. Both taught properly here.
I came from Informatica. The transform mapping and pushdown sections got me productive in days rather than weeks.
The migration cockpit with staging tables is what every current project uses. Good that it is central rather than an afterthought.
Fees and training modes
Choose how you want to learn. No-cost EMI is available on the live and 1-to-1 modes.
Most popular
Live Online Training
Talk to us
Contact for current batch fee
Interactive live batches, weekday or weekend, with the full cohort and lifetime recordings.
Fastest
1-to-1 Training
₹49,000
Fixed for every course, no-cost EMI
Private one-on-one coaching at a pace and schedule you set.
Affordable
Self-paced Training
₹9,000
One-time fee, lowest-cost option
Learn on your own time with recorded sessions and the same materials.
Refunds and cancellations are covered in our refund policy.
What a day looks like
- Load runs
- Executing and monitoring migration loads, usually against a cutover timetable.
- Rejected rows
- Working error tables: missing mappings, failed validations and bad source data.
- Mapping changes
- Business decisions that change a field mapping, and the retest that follows.
- Reconciliation
- Proving counts and values match, which is what the business actually signs.
- Performance
- Making a load fit the cutover window, usually through pushdown and parallelism.
Training a team?
We run this course as private corporate training, tailored to your systems and scheduled around your team. Tell us your group size and what you need to cover.
Request a corporate quoteFrequently asked questions
Is there still a BODS certification?
Is BODS still used or is it legacy?
Do I need SAP experience?
Does this cover the S/4HANA migration cockpit?
What about Data Intelligence or Datasphere?
Is there hands-on access?
Ready to start?
Talk to us about batch dates, the syllabus or anything else.