{{ "single view methodology" }} develops & deploys phases of the single view methodology. A data steward is appointed for each source database identified in Step 3, who defines how required data can be extracted from the source database to meet the single view requirements without impacting either the current producing or consuming applications. The development team designs the single view schema with common attributes and canonical field formats. Data loading and standardization are performed in Steps 6 and 7, where data is captured in a standardized format and transformed into the single view target schema. Inconsistencies can exist in the data itself, so merging disparate records requires tools like MongoDB's grouping tool to cluster records with similar matching attributes. The merged master data set is generated, allowing the project team to begin testing the resulting single view. Architecture design for scaling the service and delivering continuous uptime with robust security controls is also essential in Step 8. Modifying consuming systems by creating an API that exposes the single view is necessary in Step 9. Finally, implementing maintenance processes is crucial to maintain pace with business change, defining a strategy on how application changes are integrated into the single view schema in Step 10.