Data Design Requirements in Vendor Assessment and Evaluation Framework

  1. Ensure us the data conversion from various storage to the plotform data will be managed well to avoid any duplication.
  2. Ensure to use the processed data strategy to use in-memory, elastic index and last read will be database.
  3. Ensure to regular sync of the data on various data sources primary, secondary and in data lake.
    All the processed data will be stored in intermediate DB/storage which can deliver good performance in high throughput.
  4. Ensure to share the strategy to achieve transactions between distributed microservices and avoid data and transaction loss.
  5. Ensure to use the caching on frontend layers (Sqlite/Ngrx) to reduce the client-server calls.
  6. Data pre-processing and ETL/ELT is required when ingesting data to the ALMP system.
  7. Cloud storage must be used to store the Blob and file storage like transcriptions, documents, reports etc.
  8. Ensure that you setup procedures in place to ensure production data shall not be replicated or used in non-production environments.
  9. Ensure that you support secure deletion of archived and backed-up data.