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TDAA Technologies Solutions for Every Organization

DataPancake transforms semi-structured data (X12 EDI, NCPDP, HL7, FHIR, JSON, XML, and Avro) into accurate, complete relational tables in an agency's own Snowflake account. Agencies use DataPancake in one of four ways.

  • Validate existing pipelines: Builds an independent, reconciled set of relational tables from the raw source, so an agency can measure whether its current pipeline output is complete without replacing the tools it already owns.
  • Migrate to Snowflake: Regenerates the transformation of semi-structured data on Snowflake when an agency is moving from another data warehouse platform, so existing mappings do not have to be rebuilt by hand.
  • Re-architect pipelines that no longer scale: Replaces custom flattening and mapping code with generated Snowflake SQL that agency staff can inspect, deploy, and maintain.
  • Reach data that has been inaccessible: Converts semi-structured data sitting unused in Snowflake or cloud storage into relational tables for the first time.

How it works: DataPancake inventories the source data, discovers its full structure, lets agency staff configure the metadata, generates the SQL, and reconciles the output against the raw source.