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Data Migration & Conversion Methodology Toronto User Group September 20, 2017Thibault DambrinePage 1Agenda Data Migration & Conversion Methodology Introduction: Choices Preparation: Foundation for
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To fill out data migration and conversion, follow these steps:
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Identify the source data: Determine where the data currently exists and what format it is in.
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Analyze the target system: Understand the requirements and structure of the system you are migrating the data to.
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Plan the data mapping: Map the fields and data attributes from the source system to the corresponding fields in the target system.
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Cleanse and validate the data: Ensure that the data is accurate, complete, and meets the required quality standards.
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Extract the source data: Retrieve the data from the source system using appropriate tools or extraction methods.
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Transform the data: Convert the data format, restructure if necessary, and apply any necessary business rules or logic.
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Load the data into the target system: Import the transformed data into the target system, ensuring proper data integrity and validation.
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Verify the data migration: Validate the migrated data in the target system against the source data to ensure accuracy.
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Test and troubleshoot: Perform thorough testing to identify and resolve any issues or discrepancies in the migrated data.
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Monitor and maintain: Continuously monitor the data in the target system after migration, and address any data quality or consistency issues that arise.
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