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OpenMetadata Spotlight - OpenMetadata @ EDNON
This is a Community Spotlight that was presented by EDNON for the OpenMetadata Community Meetup held May 21st, 2025. Meetups are happening every month! For more information, go to https://www.meetup.com/openmetadata-meetup-group/ Learn how EDNON is transforming its data governance with OpenMetadata. This presentation will cover key milestones from their work with OpenMetadata over the past two years, including infrastructure deployment, data source integration, business glossary definition, and the implementation of data quality policies. See how they're using OpenMetadata to automate documentation, ensure BI product quality, and democratize data access.
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OpenMetadata Spotlight - OpenMetadata @ EDNON
- 1. 1 Data Governance atthe DiputaciĆ³n of A CoruƱa with OpenMetadata ā Two Years of Transformation. MAY - 2025
- 2. 2 1.- Introduction: Briefpresentation IĀ“m NicolĆ”s GutiĆ©rrez GarcĆa, project manager for Data Governance at Ednon, company specialized in advanced technology solutions that supports public and private organizations in their digital transformation processes. From Ednon, we contribute with expertise in data governance, data management, artiļ¬cial intelligence, and cybersecurity, helping our clients make more informed and secure decisions. In this OpenMetadata Meetup organized by Collate, I will share our two-year experience implementing data governance initiatives at the DiputaciĆ³n A CoruƱa, a project in which we have used OpenMetadata as a key platform to structure, catalog, and govern information assets eļ¬ectively and sustainably.
- 3. 3 2.- The DiputaciĆ³nde A CoruƱa and its Commitment to Citizens DiputaciĆ³n of A CoruƱa is a SupraCouncil public administration that provides technical, economic, and administrative support to the municipalities in the province, especially the smaller ones. Its functions include: āŗ Management of local infrastructures āŗ Social services āŗ Economic development āŗ Culture and sports āŗ Innovation and e-goverment
- 4. 4 2.1- SUBTEL andthe Provincial Electronic Registry To enhance citizen interaction and improve administrative eļ¬ciency, the DiputaciĆ³n has implemented tools such as: SUBTEL: An electronic processing platform that allows municipalities/councils and citizens to manage grants, plans, and aid digitally. Registry: An electronic platfomr of the General Registry that enables the submission of documents, requests, and communications regarding provincial procedures, available 24/7.
- 5. 5 2.2- Initial Datasituation Before implementing data governance, we faced several common challenges in public administrations: āŗ InformaciĆ³n silos āŗ Lack of traceability āŗ No Glossaries āŗ Lack of trust in data āŗ Technical dependency
- 6. 6 2.3- Objectives yDecision The DiputaciĆ³n set out to professionalize its data management, with a clear focus on: āŗ Building a common metadata infrastructure āŗ Improving quality, traceability, and understanding of public information āŗ Creating a shared language for data across functional areas āŗ Laying the foundations for sustainable data governance aligned with regulatory compliance and public eļ¬ciency improvement ĀæWhy OpenMetadata? āŗ Flexible āŗ Adaptable to the changing reality of the organization āŗ Extensible āŗ In order to connect with current and future data sources āŗ Easy Integration āŗ Oracle, Postgres, QlikSense, Superset āŗ Supports technical and bussines metadata āŗ Python Framework /APIs
- 7. 7 3.- Key Milestones:2023 1.- Deployment on ClientĀ“s infrastructure 2.- Integration with priority sources: Oracle and Postgres databases. 3.- Initial deļ¬nition and organization of the business glossary 4.- Deļ¬nition and approval of technical data quality, and data modeling, policies and procedures
- 8. 8 3.- Key Milestones:2024 āŗ Implementation of curation ļ¬ows āŗ Integration with BI tools: QlikSense. āŗ Data source documentation. Workļ¬ows deļ¬ned to generate and approve tasks by the datastewards team about documentation, classiļ¬cation, quality, etc. Full report cataloging with lineage and democratization mechanisms via the Data Oļ¬ce Automation with Python and advanced use of the API for metadata dumps (e.g., documentation of data sources: Oracle and Postgres tables and ļ¬elds)
- 9. 9 3.- Key Milestones:2025 āŗ Translation of OpenMetadata to Galician āŗ AI Integration for discovery and documentation processes āŗ KPIs Governance. IA will be used for: āŗ Pre-documentation of data models āŗ Glossary analysis and proposal of missing/new terms āŗ Quality rule automation āŗ Lineage construction for non supported models Tasks: āŗ Deļ¬ne KPIs as business terms āŗ Catalog and Gobern KPIs data sources āŗ Build complete lineage āŗ KPI democratization through O.M.
- 10. 1 0 4.- Use Case:I (Show me the Numbers) āŗ Cataloged assets: 1412 āŗ Descriptions: āŗ Owners: āŗ Glossaries: 18 āŗ Bussines Terms: 457 āŗ Approved: 238 āŗ Sensitive: 48 āŗ Public: 68
- 11. 1 1 4.- Use Case:II 1. Database scanning and cataloging. 2. Approval ļ¬ow deļ¬ned by the Data Oļ¬ce, where data stewards review and validate the data asset documentation. 3. Once approved, Python framework is used with OpenMetadata APIs to collect this documentation from OpenMetadata. āŗ Automatic documentation of cataloged data sources: 4. This documentation collected is used to update de database models. This approach ensures that documentation is always aligned, centralized, and accessible from both the data catalog and the storage platforms themselves, thus facilitating its use, maintenance, and auditing.
- 12. 1 2 4.- Use Case:III This process ensures that BI Data Products meet the quality standards deļ¬ned by the Data Oļ¬ce. āŗ The seal covers key aspects such as: āŗ Quality and consistency of the data. āŗ Standardization and traceability of sources. āŗ Transparency. āŗ Security and interoperability. āŗ Relevance of content and documentation. āŗ OFDA Seal of Approval for BI: Once the data product is approved, it is assigned a classiļ¬cation tag in the Open Metadata business glossary, enabling its democratization and use at the organizational level with guarantees of reliability and compliance.
- 13. 1 3 4.- Casos deUso. 4 COMPLETAR Completar āŗ La revisiĆ³n abarca aspectos clave como: āŗ Calidad y consistencia de los datos mostrados. āŗ EstandarizaciĆ³n y trazabilidad de las fuentes. āŗ Transparencia en el modelo de datos utilizado. āŗ RevisiĆ³n de la seguridad e interoperabilidad. āŗ Relevancia del contenido y nivel de documentaciĆ³n. āŗ Autodocumentacion Postgres BBDD multitenant: Phatplus Freepik Three musketeers Flat Icons Referenciar fuentes:
- 14. 1 4 Data, &Analytics CONTACTO RĆŗa Monte dos Postes, 6. 15703 Santiago de Compostela +34 981 55 27 00 @ednon EDNON www.ednon.com [email protected] m