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Unit 1: Explaining SAP Data Services
Lesson: Introducing SAP Data Services solution
Lesson: Describing the object model
Unit 2: Accessing data
Lesson: Connecting to databases or applications using Datastores
Lesson: Accessing files using Flat File Formats
Unit 3: Developing jobs and data flows
Lesson: Creating Batch Jobs
Lesson: Creating Data Flows
Lesson: Documenting Jobs
Unit 4: Troubleshooting batch jobs
Lesson: Validating Jobs
Lesson: Testing Jobs
Lesson: Debugging Data Flows
Unit 5: Using functions, scripts, and variables
Lesson: Computing data using built-in functions
Lesson: Designing independent reusable objects with variables and parameters
Lesson: Initializing variables using scripts
Lesson: Reusing logic with a custom function
Lesson: Using jobs in different system configurations
Unit 6: Querying data with Platform transforms
Lesson: Building new data sets with the Query transform
Lesson: Choosing between lookup function and join operation
Lesson: Using the SQL Transform
Unit 7: Splitting and combining data with Platform transforms
Lesson: Splitting data with the Case transform
Lesson: Splitting data with the Validation Transform
Lesson: Combining data with the Merge transform
Unit 8: Handling errors and recovering from failure
Lesson: Auditing dataflows
Lesson: Setting up error handling
Lesson: Using automatic recovery mode
Unit 9: Updating data
Lesson: Bringing changes to the target table
Lesson: Using Source-Based Change Data Capture (CDC)
Lesson: Using Target-Based Change Data Capture (CDC)
Unit 10: Designing advanced ETL scenarios using SAP Data Services Integrator transforms
Lesson: Describing SAP Data Services Integrator transforms
Lesson: Converting columns to rows using the Pivot transform
Unit 11: Optimizing Performance
Lesson: Optimizing data flows using the Data Transfer transform
Lesson: Setting options to improve performance