In data vault modeling, satellites are used to store historical and contextual data about an entity in a data vault. When splitting satellites, it is important to consider the following best practices:
- Use a consistent and logical naming convention: Use a naming convention that is easy to understand and follow. This will help you easily identify and locate the satellites you need.
- Keep related data together: Group data that is related or belongs to the same entity in the same satellite. This will make it easier to understand and analyse the data.
- Avoid overloading satellites: Avoid adding too much data to a single satellite. If a satellite becomes too large, it can be difficult to manage and maintain.
- Use the correct data types: Make sure to use the correct data types for each attribute in the satellite. This will ensure that the data is stored and used efficiently.
- Consider data integrity: When splitting satellites, make sure to consider the impact on data integrity. You want to ensure that you do not lose any data or create inconsistencies when splitting the satellites.
By following these best practices, you can ensure that your satellites are organised and maintained in a way that makes it easy to understand and use the data in your data vault.
Criteria to follow when splitting your Satellites
There are a few steps you can follow to split your satellites in data vault modeling:
- Identify the reason for splitting: Determine the reason for splitting the satellites. This could be because the satellite has become too large, or because you want to group related data together in a more logical way.
- Determine the criteria for splitting: Decide on the criteria for splitting the satellite. This could be based on the type of data being stored, the time period it covers, or any other relevant factors.
- Create a new satellite: Create a new satellite for the data that meets the splitting criteria. Make sure to use a consistent and logical naming convention, and to include all relevant attributes in the new satellite.
- Migrate the data: Migrate the data from the old satellite to the new satellite. Make sure to carefully check the data to ensure that it has been migrated correctly and that there are no inconsistencies or data loss.
- Update any related links: If the satellite being split is linked to other objects in the data vault, make sure to update the links to point to the new satellite.
Avoiding when splitting your Satellites
When splitting satellites in data vault modeling, it is important to avoid the following:
- Losing data: Make sure to carefully migrate all data from the old satellite to the new satellite, to ensure that no data is lost during the split.
- Creating inconsistencies: Pay attention to the data being migrated, to ensure that it is consistent and that there are no inconsistencies introduced during the split.
- Overloading the new satellite: Avoid adding too much data to the new satellite. If a satellite becomes too large, it can be difficult to manage and maintain.
- Using an inconsistent naming convention: Make sure to use a consistent and logical naming convention when creating the new satellite. This will help you easily identify and locate the satellite in the future.
By avoiding these pitfalls, you can ensure that the process of splitting your satellites in the data vault is smooth and does not compromise the integrity of your data