SAP BODS Online Training | Best SAP BODS Course Hyderabad USA: SAP BODS Online Training Course Content
Introduction to BODS
Place of BODS among modern DI software package
Competitive advantage of BODS
ETL and ELT approach
How both approaches can be combined in one tool
Data Services components and architecture
Basics of BODS
Concepts of Job, Workflow and Data Flow
Concepts of Datastore
Creating basic Batch Job
Transforms overview
Data profiling and Query Transform
Analyzing data sources
Joining data from multiple sources
Basic transformations and build-in functions
Aggregating data in BODS
Lookup
Working with Files
Defining file formats for file data source
Working with XML files(XSD,DTD)
COBAL COPY BOOKS
File Formats as Source and as Targets
Platform Transforms Overview
Case and Merge transforms
SQL transform
Validation transform
Row Generation
Map Operation
Combining Validation and Auditing – best practices
Data Integrator Transforms
Working with hierarchical data
Hierarchy Flattening transform
Merging data
Table Comparison transform
Other ways of merging data for RDBMS d
SAP BODS Online Training Course Content
Introduction to BODS
- Place of BODS among modern DI software package
- Competitive advantage of BODS
- ETL and ELT approach
- How both approaches can be combined in one tool
- Data Services components and architecture
Basics of BODS
- Concepts of Job, Workflow and Data Flow
- Concepts of Datastore
- Creating basic Batch Job
- Transforms overview
Data profiling and Query Transform
- Analyzing data sources
- Joining data from multiple sources
- Basic transformations and build-in functions
- Aggregating data in BODS
- Lookup
Working with Files
- Defining file formats for file data source
- Working with XML files(XSD,DTD)
- COBAL COPY BOOKS
- File Formats as Source and as Targets
Platform Transforms Overview
- Case and Merge transforms
- SQL transform
- Validation transform
- Row Generation
- Map Operation
- Combining Validation and Auditing – best practices
Data Integrator Transforms
- Working with hierarchical data
- Hierarchy Flattening transform
- Merging data
- Table Comparison transform
- Other ways of merging data for RDBMS datastores
- Slowly changing dimension support in BODS
- History preserving transform
- Using built-in functions
- Use date and time functions and the date generation transform to build a dimension table
- Use the lookup functions to look up status in a table
- Use match pattern functions to compare input strings to patterns
- Use database type functions to return information on data sources
Metadata Management
- Local and Central repositories
- Working in a group
- Propagating Job from development to staging and production environment – best practices
- Backing up metadata
- ATL file. Export\Import operations
- Validating, tracing, and debugging jobs
- Use description and annotations
- Validate and trace jobs
- Use view data and the Interactive Debugger
Management Console
- Administrating BODS
- Overview of all major tools
- Execution of a Job from server
- Scheduling a job
- Auto Documentation reports
- Designing ETLs with auto documentation in mind
BODS Scripting Language
- Variables in BODS – Scope of variable
- Scripting language – Advantages and limitations
- Custom functions in BODS
- Creating simple function
- Database procedures
- Custom functions vs. database functions
SAP BW 7.5 AND SAP ECC, SAP CRM BODS INTEGRATION
- Connecting to SAP Applications
- ABAP data Flow processing Using Dataservices
- IDoc interface connectivity Using Dataservices
- SAP Application table source in real jobs using Dataservices
- Executing Batch jobs that contain ABAP Dataflows
- Connecting to SAP Net weaver Business warehouse
- Using Dataservices in SAP NW BW environments,Openhub tables
- Defining SAP Net Weaver BW Datastores Using Data services
- Loading into SAP NW BW using Dataservices
HANA 1.0 SPS8 BODS INTEGRATION
- BODS 4.2 with HANA to builg Agile Datamarts using Diffrennt Transforms and File systems
Error Handling in BODS
- Validating Data Flow, Workflow, Job
- Error handling on Workflow level – Try and Catch objects
- Analyzing execution of Batch Job – Log files
- Debugging in BODS
- Handing execution errors – best practices
Performance optimization in BODS - Part 1
- Push-down concept
- Cases when push-down doesnÃt work
- Data Transfer transform
- Cashing in BODS
- Defining cashing for lookups and Table Comparison
Performance optimization in BODS - Part 2
- Degree of parallelism
- Designing custom function for parallel execution
- Bulk loading operation
- Using MultiLoad for Teradata targets
- Execution parameters
- Rows per commit
- Number of loaders
Using BODS Metadata
- Access to BODS metadata
- Operational metadata
- Auditing metadata
- Creating your own metadata by using BODS metadata
Possible Alternative Topics
- Data Quality in BODS
- SAP and SAP BODS / BODI
- Real-time job
- Integration with other applications
- Automatic job creation from template
