The exclusive Skills 101 session, with Vani and featuring Bernie, focuses on the future of data modeling, particularly in the context of Snowflake and emerging trends like data mesh and AI. The session aims to provide insights into how data modeling is evolving, with a shift from traditional methods to more modern, decentralized approaches that treat data as a product.
Vani discusses the transition from monolithic data architectures to data mesh principles, emphasizing domain-oriented data ownership and self-service infrastructure. Bernie shares his extensive experience with data modeling and highlights the advantages of Snowflake's cloud-native architecture, which allows for scalable and efficient data management.
The presenters also touch on the importance of metadata and data governance, as well as the integration of AI in data modeling practices. They conclude by discussing recent updates in Snowflake, including new features and enhancements in version 15, and hint at future developments involving AI and agentic capabilities.
Overall, the webinar emphasizes the critical role of data modeling in modern data environments and the need for continuous improvement and adaptation to new technologies and methodologies.
For additional Erwin 101 Skills videos, please visit our website at: https://www.quest.com/data-management-skills-training/erwin-skills-101-webcast-series-on-demand.aspx
To participate in our upcoming Skills 101 series, please visit: https://www.quest.com/skills-101-training/
