Enterprise data warehouses have traditionally supported only historical reporting — with no support for forward-looking prescriptive and predictive analytics. They also cannot handle semi-structured, unstructured or real-time data and are not set up for advanced analytics use cases that data science teams need to drive ML and AI–powered innovations.
Join us in this session and learn how you can reduce costs, innovate faster and simplify your data platform by migrating to Databricks. Discover the case for modernizing your enterprise data warehouse and scale as your business needs grow and accelerate innovation by running all your data, analytics and AI workloads on a single unified data platform.
In this session, you’ll learn:
- How an AI-optimized data warehouse delivers better performance, governance and user experience
- How to automate performance tuning of data warehouse workloads with predictive optimizations, improving speed and reducing costs
- Why Databricks Lakehouse over a data warehouse and the benefits of migration to Databricks
- Proven migration strategy used by our customers
Related Webinars: Databricks brings AI to your data to help you bring AI to the world.
As you embark on a journey toward enhancing your data and AI strategies, these webinars are designed to equip you with a thorough understanding of how Databricks’ Data Intelligence Platform simplifies data and AI governance and the essential elements needed to attain generative AI success at a production level.
This webinar is tailored for data enthusiasts, business leaders, and technology professionals seeking to strike the right balance between governance and innovation in GenAI use cases.