SAP BODS to SQL DBMS Data Integration

SAP BODS to SQL DBMS Data Integration

Design and Architecture: web-management

  • Extraction, Transformation, Loading (ETL) Design: Define clear ETL processes focusing on data cleansing, transformation rules, and loading techniques suitable for your target SQL DBMS.
  • Error Handling: Implement robust error handling and recovery mechanisms within BODS jobs.

Performance Optimization: web-management

  • Parallel Processing: Leverage parallel processing capabilities in BODS to enhance performance, especially when dealing with large datasets.
  • Batch Processing: Manage data loads in batches to balance the load and optimize the performance of both the source and target systems.

Data Quality and Governance: web-management

  • Data Profiling and Cleansing: Use built-in BODS functions for data profiling and cleansing to maintain high data quality.
  • Audit and Tracking: Implement detailed logging and auditing mechanisms to track data transformations and loads.

Security and Compliance: web-management

  • Data Security: Ensure that data transfers are secure, implementing encryption if necessary. Comply with data protection laws and regulations.
  • Access Controls: Set up stringent access controls and permissions within BODS and the SQL DBMS to protect sensitive data.
Create a connection between SAP ECC to SAP BODS:

To create an SAP ECC Data Source connection in SAP BODS, you typically need to configure the connection within the BODS Designer. Here are the general steps:

1. Open SAP BODS Designer:
  • Launch the SAP BusinessObjects Data Services Designer application.
2. Create a New Project (If not already created):
  • In the BODS Designer, create a new project or open an existing project where you want to create the SAP ECC Data Source connection.
3. Create a New Datastore:
  • In the Project Area of the BODS Designer, right-click on the Datastores folder and select “New” -> “Datastore.”
  • Choose the appropriate type of datastore for SAP ECC. In this case, select “SAP Applications.”
4. Configure SAP ECC Datastore:
  • In the “New Datastore” dialog, enter a name for the ECC Datastore.
  • Under “Datastore Type,” select “SAP Applications” and click “OK.”
  • Enter the connection details for the ECC system:
  • Connection Type: Select “Application Server.”
  • Application Server: Enter the ECC application server hostname or IP address.
  • System Number: Enter the system number of the ECC system.
  • Client: Enter the client number.
  • Language: Enter the language key (e.g., EN for English).
  • Username: Enter the username for connecting to ECC.
  • Password: Enter the password for the user.
  • Click on “Test Connection” to verify the connectivity to the ECC system.
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5. Save Datastore:
  • Once the connection is successfully tested, click “OK” to save the ECC Datastore configuration.
6. Create ECC Data Source:
  • With the ECC Datastore configured, you can now create a Data Source.
  • Right-click on the ECC Datastore and select “Import by Name.”
  • Enter the name of the ECC Data Source you want to import and click “OK.”
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7. Save Project:
  • After importing the Data Source, save the project to retain the changes made.
Create a Data Flow and execute the job: To create a dataflow in SAP BusinessObjects Data Services (BODS), you follow these steps:
1. Open SAP BODS Designer:
  • Launch the SAP BusinessObjects Data Services Designer application.
2. Navigate to the Project Area:
  • In the BODS Designer, locate and open the project where you want to create the dataflow.
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3. Create a New Dataflow:
  • Right-click on the “Dataflows” folder within your project.
  • Select “New” -> “Dataflow” from the context menu.
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4. Add Objects to the Dataflow:
  • Once the dataflow canvas opens, you can start adding objects to it.
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  • Drag and drop the necessary objects from the “Local Object Library” or “Repository” onto the dataflow canvas. These objects may include:
  • Sources: Datastores or flat files containing the source data.
  • Transformations: Objects for data manipulation, filtering, aggregation, etc.
  • Targets: Datastores or files where you want to load the transformed data.
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5. Connect Objects:
  • Connect the objects on the dataflow canvas to define the flow of data from source to target.
  • Click on the output port of one object and drag the connector to the input port of another object to create a connection.
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6. Save Dataflow:
  • Once you’ve configured the dataflow, save your changes by clicking on the “Save” button in the toolbar or pressing Ctrl+S.
7. Execute Dataflow:
  • After saving the dataflow, you can execute it to process the data according to the defined flow.
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  • Right-click on the dataflow and select “Execute” to initiate the execution.
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  • Monitor the execution progress and review any logs or messages generated during the process.
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8. Validate Results:
  • After the dataflow execution is completed, validate the results by checking the target datastores or files.
  • Ensure that the data has been processed and loaded correctly as per your expectations.
Thulasi K

About the Author

Thulasi K
Technical Lead

Thulasi K

About the Author

Thulasi K
Technical Lead