Data Warehouse Modernization with the Lakehouse for State & Local

Today, state and local government agencies require agile decision-making with real-time data analytics. Innovation in service delivery hinges on predictive insights generated from machine learning and AI. Legacy ETL and data warehouse infrastructures simply cannot keep up with the growing volume, variety, and velocity of data, or the need for decision makers to gain advanced insights across enterprise data silos of disparate data warehouses. And GenAI readiness remains out of reach.

Forward-thinking state and local government agencies are moving their legacy ETL and data warehouse workloads to a cloud-based lakehouse architecture. Join Databricks, the MN Department of Human Services and Deloitte for a virtual panel discussion:

In this session, you will hear:

• An overview of how Databricks provides an end-to-end data analytics platform that not only supports all of your current data warehouse needs but future-proofs your organization 
• How a Lakehouse architecture prepares your agency to enable predictive insights and mature into the latest in AI/ML 
• Several key differentiators including built-in governance and security
• A customers journey and vision for modernizing predictive insights in HHS