{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11494688","patent":{"patent_number":"US-11494688","title":"Learning ETL rules by example","assignee":null,"inventors":[],"filing_date":"2018-04-16T00:00:00.000Z","publication_date":"2022-11-08T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N"],"num_claims":20,"abstract":"Embodiments provide systems and methods for learning extract, transform, and load mappings by example. A plurality of features can be extracted from a source schema and a target schema. Example ETL mappings can be provided to a machine learning algorithm that comprise definitions for extracting data from source tables and loading the extracted data into target tables. Using the machine learning algorithm and based on the source schema, target schema, and extracted features, one or more ETL rules can be predicted that define logic for extracting data from the source schema and loading the extracted data into the target schema. Additional ETL mappings can be generated based on the predicted ETL rules, the additional ETL mappings providing additional definitions for extracting data from the source schema and loading the extracted data into the target schema."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Learning ETL rules by example","description":"Embodiments provide systems and methods for learning extract, transform, and load mappings by example. A plurality of features can be extracted from a source schema and a target schema. Example ETL ma","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11494688","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11494688","citation_suggestion":"Patentable. \"Learning ETL rules by example\" (US-11494688). https://patentable.app/patents/US-11494688","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11494688","json":"https://patentable.app/api/llm-context/US-11494688","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:35:52.266Z"}