module-04-data-collection

To collect and validate raw data for entity resolution, you need a process that manages file ingestion, performs format verification, and tracks provenance through a centralized registry, ensuring disparate source files are prepared for Senzing SDK processing.

Preparing CRM data and API exports for a Senzing pipeline requires ingesting the disparate source files, applying automated sanity checks to validate their formats, and registering them to track data provenance, quality, and load status.

Data validation during file ingestion works by performing automated sanity checks on the gathered data sources, verifying their formats, and maintaining a centralized registry to track provenance and load status before entity resolution processing.

Yes, you need access to the Senzing MCP server to validate and register data sources, as it provides the tool-based validation and configuration management required to standardize disparate files for the entity resolution pipeline.

Yes, you can use this data collection approach for disparate source files from APIs and databases because it guides the collection of data from various origins including local files, URLs, databases, and APIs into a standardized project structure.

Your entity resolution pipeline requires a centralized data registry to track provenance, quality, and load status, ensuring that disparate source files are correctly placed, validated for format, and registered before processing.