Migrating from One ERP to another

When migrating from Oracle ERP to SAP ERP, data governance plays a crucial role in ensuring the process is smooth, data integrity is maintained, and compliance requirements are met. Here are the key considerations related to data governance during this migration:


### 1. **Data Assessment and Inventory**

- **Data Mapping**: Identify all data elements in Oracle ERP and map them to the corresponding elements in SAP ERP.

- **Data Inventory**: Create a comprehensive inventory of all data assets, including metadata, master data, transactional data, and historical data.


### 2. **Data Quality Management**

- **Data Cleansing**: Cleanse the data in the Oracle ERP system to eliminate duplicates, correct errors, and ensure consistency before migration.

- **Data Validation**: Develop validation rules to ensure that the data being migrated meets the quality standards required by the SAP ERP system.


### 3. **Data Migration Strategy**

- **Phased Approach**: Consider a phased migration approach to minimize risks and allow for thorough testing at each stage.

- **Data Migration Tools**: Choose appropriate tools and technologies that support data extraction, transformation, and loading (ETL) processes.


### 4. **Data Governance Policies and Procedures**

- **Policies**: Establish and enforce data governance policies related to data access, usage, and security during the migration.

- **Procedures**: Develop detailed procedures for data migration, including data extraction, transformation, validation, and loading processes.


### 5. **Data Ownership and Stewardship**

- **Roles and Responsibilities**: Define clear roles and responsibilities for data governance, including data owners, data stewards, and data custodians.

- **Stakeholder Engagement**: Involve key stakeholders from both the Oracle ERP and SAP ERP teams to ensure collaboration and accountability.


### 6. **Compliance and Security**

- **Regulatory Compliance**: Ensure that the migration process complies with relevant regulatory requirements and industry standards (e.g., GDPR, HIPAA).

- **Data Security**: Implement robust security measures to protect data during migration, including encryption, access controls, and audit trails.


### 7. **Data Transformation and Standardization**

- **Data Transformation Rules**: Define and document the rules for data transformation to ensure that data from Oracle ERP is correctly translated into the SAP ERP format.

- **Data Standardization**: Standardize data formats, definitions, and values to maintain consistency across the new system.


### 8. **Testing and Validation**

- **Data Migration Testing**: Conduct thorough testing of the migration process, including unit testing, system testing, and user acceptance testing (UAT).

- **Data Reconciliation**: Perform data reconciliation to verify that the data in the SAP ERP system matches the data in the Oracle ERP system post-migration.


### 9. **Change Management and Training**

- **Change Management**: Develop a change management plan to address the impact of migration on users and business processes.

- **Training**: Provide comprehensive training for users on the new SAP ERP system and any changes in data governance practices.


### 10. **Continuous Monitoring and Improvement**

- **Monitoring**: Establish monitoring mechanisms to track the progress and success of the migration.

- **Feedback Loop**: Create a feedback loop to capture issues and lessons learned during migration, and use this information to improve future data governance practices.


### Summary

- **Data Assessment**: Inventory and map data assets.

- **Quality Management**: Cleanse and validate data.

- **Migration Strategy**: Plan a phased approach with appropriate tools.

- **Policies and Procedures**: Establish and enforce governance policies.

- **Ownership and Stewardship**: Define roles and responsibilities.

- **Compliance and Security**: Ensure regulatory compliance and data security.

- **Transformation and Standardization**: Define transformation rules and standardize data.

- **Testing and Validation**: Thoroughly test and reconcile data.

- **Change Management**: Manage the impact on users and provide training.

- **Continuous Monitoring**: Monitor progress and improve practices.


By carefully considering these key aspects, you can ensure a successful and compliant data migration from Oracle ERP to SAP ERP.

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ASP.net - Failed to enable constraints. One or more rows contain values violating non-null, unique, or foreign-key constraints (RDLC Report)

Failed to enable constraints. One or more rows contain values violating non-null, unique, or foreign-key constraints

 

 Solution


Question
1)

I had this error and it wasn't related with the DB constrains (at least in my case). I have an .xsd file with a GetRecord query that returns a group of records. One of the columns of that table was "nvarchar(512)" and in the middle of the project I needed to changed it to "nvarchar(MAX)".

Everything worked fine until the user entered more than 512 on that field and we begin to get the famous error message "Failed to enable constraints. One or more rows contain values violating non-null, unique, or foreign-key constraints."

Solution:  Check all the MaxLength property of the columns in your DataTable.

The column that I changed from "nvarchar(512)" to "nvarchar(MAX)" still had the 512 value on the MaxLength property so I changed to "-1" and it works!!.



changed a field length in the db and it no longer matched the dataset.