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Explaining the Simplified SAP Data Migration Process: Extraction, Transformation, and Validation
- Creado 01/03/2024
- Modificado 01/03/2024
- 11 Vistas
Hello Readers,
Purpose of this Blog :
Nowadays, SAP is one of the widely used ERP software across the large or medium size enterprises because of its excellent integrated business processes and friendly user experience. You can access your business data and processes easily at one place.
Data Migration is important step in any SAP implementation project. Enterprises plan their migration of data from various NON SAP/Legacy or SAP sources. Hence it is important to understand the data migration process end to end.
What's in it for you?
This blog focuses on explaining the simplified version of migration process considering Extraction, Transformation, Preload Validations, Load and Postload Validations.
Let's get into the process!
Moving the data from one system to another follows a simple ETL process and in addition to this I think it is very much important to put validations also in this process. I will try to explain each part of this below.
Below is the simple flow diagram how the process looks like-
SAP Data Migration Flow Diagram
Each step is explained below -
- Extraction
This step is used to get the most relevant business data for migration to new system, below points are considered during this step.
- In this, we pull the relevant data from source based on criterias provided by business, these criterias are also called as "Relevancy Rules"
- Relevancy rules can be dates, business values filters, plants scope filters etc.
- These conditions vary from object to object and these are used to get the inscope records for a particular object
- The data which satisfies these conditions are generally called as inscope data and will be used as a source data for migration and will be considered for next step
- Generally target tables created within this step follows adding "Relevant " keyword in table names with corresponding object/segment name
- Transformation
This step is most important in data migration and plays very significant role, below points are considered during this step
-
Pedro PascalSe unió el 07/03/2018
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