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Projecten als Werknemer / Consultant

Riziv / Inami : Operational Data Integration

29/11/2024

 
Picture
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Work File : DataDistributionOptions.xlsx
Part 1 : options : CT_2024_11_29_DataDistribution 1.pptx
File 2 : CT_2025_03_07_Operational Data Integration_Part2.pptx
File 3: CT_2025_05_19_Operational Data Integration_Part3.pptx

We decided that following propositions are selected to go further on following 3 propositions

  • High count Records
    • Enterprise bus
    • Cross DB Bulk Queries ( materialized Indexed Views ) on Replicated Databases
  • Low Count Records
    • Redis Cache 
ct_2024_11_29_operational_data_integration.pptx
File Size: 595 kb
File Type: pptx
Download File

Decision matrix : when to use which option 

Part 2 : CT_2025_03_07_Operational Data Integration_Part2 
  1. Matrix is Accepted
    1. Materialized View : ServiceBus : ( Who will create Initial Package and setup ) 
      1. John will check what is possible here with ok from Arnaud
    2. Replicated DB :
      1. I&O are using Azure SQL DB so this option is not on the table with current Choices 
    3. Caching : Wilke will make a study if Redis ( that is used in Community version ) is the right match as this eliminates the 2 best Caching options ( Read-through and refresh-ahead  ) => Arnaud has given the Pragmatic Go
ct_2025_02_xx_operational_data_integration_part2_version2.pptx
File Size: 485 kb
File Type: pptx
Download File

Part 3 2025_05 

Decided: 
  1. Materialized View : ServiceBus : ( Who will create Initial Package and setup ) 
    1. John will check what is possible here with ok from Arnaud
  2. Caching : Wilke will make a study if Redis ( that is used in Community version ) is the right match as this eliminates the 2 best Caching options ( Read-through and refresh-ahead  ) => Arnaud has given the Pragmatic Go
ct_2025_05_xx_operational_data_integration_part3.pptx
File Size: 635 kb
File Type: pptx
Download File

Discussion was made around the 4 options on how we will communicate the Mutations ( Page 7 ) 

  1. Minimalistic : This was clearly a noGO 
  2. Pragmatic : Chosen for All GDPR data Mutations
  3. Mutated Data : Chosen for second best and can be used for Non GDPR data mutations
  4. Full Data : This was clearly a noGO 

Next step : 

  • John will create Nihdi.Common.Integrations.Mutations Contract examples 
  • John will check examples with Gabriel of Contact / Atlas to have real feedback 
  • Wilke will Document the Redis naming conventions ( we notice that RefData is already stored multiple times ... ) 

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