As organizations accelerate their adoption of modern data platforms like Snowflake and Databricks to fuel analytics and AI, many overlook a critical first step: foundational data modeling.
In this on-demand webcast, we’ll explore why starting with the right data model is essential to building an AI-ready data platform: one that’s scalable, governed, and business-aligned from day one.
Here’s what you’ll learn:
- How to build reusable logical data models that streamline migrations and make data accessible for both technical and business teams
- Why simply “lifting and shifting” legacy schemas isn’t enough and how to optimize your models for cloud platforms like Snowflake to control costs and boost performance
- Ways to leverage integrated tools for collaboration, data lineage, and monitoring to ensure trust, transparency, and continuous improvement across your analytics lifecycle
Watch this session to see how data modeling unlocks efficiency and performance, accelerates delivery, and fortifies governance across your data estate.