Most organizations run complex cloud data architectures that silo applications, users, and data. As a result, most analysis is performed with stale data and there isn’t a single source of truth of data for analytics.

Join this interactive follow-along deep dive demo to learn how Databricks SQL allows you to operate a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses. Now data analysts and scientists can work with the freshest and most complete data and quickly derive new insights for accurate decision-making.

Here’s what we’ll cover:
• Managing data access and permissions and monitoring how the data is being used and accessed in real time across your entire lakehouse infrastructure
• Configuring and managing compute resources for fast performance, low latency, and high user concurrency to your data lake
• Creating and working with queries, dashboards, query refresh, troubleshooting features and alerts
• Creating connections to third-party BI and database tools (Power BI, Tableau, DbVisualizer, etc.) so that you can query your lakehouse without making changes to your analytical and dashboarding workflows