Discoverable, trustworthy and accessible data are essential to development of digital twins, predictive risk models, and machine learning use cases. Data scientists spend more time trying to find and cleanse the right data than developing/refining models. The Data Mesh architecture streamlines the data wrangling process and maximizes data re-usability, enabling developers to transparently access and consume trusted data products. Learn about SDG&E’s Data Mesh journey from minimum viable product to how the Data Mesh is supporting key use cases in Wildfire Mitigation, Asset Health, Sustainability and more.
- How Data Mesh provides ‘single source of truth’ to support multiple use cases
- Data Governance is essential key to success
- Ensuring data security while progressing towards data democratization
- Lessons learned from early phase implementation