AI-generated data schemas for the integration and consolidation of heterogeneous data sources
Abstract
This topic has been submitted as a request for the development of a DIN SPEC according to the PAS procedure. DIN SPECs are developed within DIN-SPEC-consortiums set up on a temporary basis. In the attached business plan you will find detailed information on the planned project as well as concrete time limits for commenting on the business plan (four-week commentary period) and for registering for the kick-off. This document will be developed and approved by the authors named in the business plan. This DIN SPEC defines the technical requirements and specifications for the automated creation, application and management of AI-generated data schemas. It enables the automated recognition, transformation, integration and consolidation of structured and unstructured data sources, including but not limited to: Table formats (e.g. Excel, CSV, JSON), relational and non-relational databases, APIs and cloud data sources, text and document files (e.g. PDFs, XML, unstructured text formats). This DIN SPEC provides guidelines for: - Data integration, for the automated harmonization and structuring of data from different sources; - Interoperability, to ensure the consistency and interchangeability of data between different systems and applications; - Data consolidation, to bring together large, fragmented data sets into a unified schema that can be used for analysis, reporting and decision making; - Scalability, to support the efficient processing of large volumes of data without the need for manual intervention. This DIN SPEC is aimed at companies that regularly work with complex, heterogeneous data and want to automate the process of data processing in order to increase efficiency and ensure data quality. It can be used in various industries where heterogeneous data sources need to be seamlessly converted into a standardized, structured format.
Begin
2025-05-21
Planned document number
DIN SPEC 91491
Project number
64500120