SAP - BODS 4.0 Training

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Modules Covered in SAP BODS 4.0

Module 1. Data warehousing concepts

Module 2. Understanding Data Integrator

Module 3. Defining source and target metadata

Module 4. Validating, tracing, and debugging jobs

Module 5. Creating a batch job

Module 6. Using built-in transforms and nested data

Module 7. Using built-in functions

Module 8. Using Data Integrator Scripting Language and Variables

Module 9. Capturing Changes in Data

Module 10. Handling errors and auditing

Module 11. Supporting a multi-user environment

Module 12. Migrating Projects

Module 13. Using the Administrator

Module 14. Profiling Data

Module 15. Managing Metadata

Module 16. Data Quality Management

Attendees also learn:

1. Resume Preparation Guidelines and Tips

2. Mock Interviews and Interview Preparation Tips

Topics Covered

Data warehousing concepts

1. Describe dimensional modeling

Understanding Data Integrator

1. Describe components, management tools, and the development process

2. Explain object relationship

Defining source and target metadata

1. Create a database data store and import metadata

2. Create a new file format and handle errors in file formats

Validating, tracing, and debugging jobs

1. Use description and annotations

2. Validate and trace jobs

3. Use view data and the Interactive Debugger

Creating a batch job

1. Create a project, job, work flow, and data flow

2. Use the query transform in a data flow

3. Use template tables

Using built-in transforms and nested data

1. Use the case, merge, and validation transforms

2. Import metadata from XML documents

3. Use the XML pipeline in a data flow

Using built-in functions

1. Use date and time functions and the date generation transform to build a dimension table

2. Use the lookup functions to look up status in a table

3. Use match pattern functions to compare input strings to patterns

4. Use database type functions to return information on data sources

Using Data Integrator Scripting Language and Variables

1. Explain differences between global and local variables

2. Create global variables and custom functions

3. Use strings and variables in Data Integrator scripting language

Capturing Changes in Data

1. Use Change Data Capture (CDC) with time-stamped sources

2. Create an initial and delta load job

3. Use history preserving transform

Handling errors and auditing

1. Recover a failed job

2. Create a manual, recoverable work flow

3. Define Audi points, rules and actions on failures

Supporting a multi-user environment

1. Describe terminology and repository types in a multi-user environment

2. Create and activate the central repository

3. Work with objects in the central repository

Migrating Projects

1. Work with projects in the central repository

2. Implement and modify group permissions

Using the Administrator

1. Add a repository and user roles

2. Set the job status interval and log retention period

3. Execute, schedule, and monitor batch jobs

4. Understand architecture, load balance index, and job execution in server groups

Profiling Data

1. Set up the Data Profiler and users

2. Submit a profiling task

3. Monitor profiling tasks in the Administrator

Managing Metadata

1. Import and export metadata

2. Use Metadata Reports

Data Quality Management

1. Connecting to SAP Applications

2. ABAP data Flow processing Using Data services

3. IDoc interface connectivity Using Data services

4. SAP Application table source in real jobs using Data services

5. Executing Batch jobs that contain ABAP Data flows

6. Connecting to SAP Net weaver Business warehouse

7. Using Data services in SAP NW BW environments

8. Defining SAP Net Weaver BW Data stores Using Data services

9. Loading into SAP NW BW Using Data services

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