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 for data analytics. Legacy warehouses lack AI capabilities for advanced analytics use cases.
Join this hands-on workshop to learn about Databricks SQL warehouse with AI assistance built-in to power natural language queries and advanced analytics. You’ll discover how to operate a 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:
- An overview of the Databricks Data Intelligence Platform and how Databricks SQL fits in, enabling you to operate a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics
- Governance of users, data, and AI models with Unity Catalog
- How to use Databricks SQL to query directly on your data lake using your tools of choice or the built-in SQL editor, visualizations and dashboards
- Genie Spaces - an AI natural language tool to ask questions of your data and get AI generated queries and visualizations.
- Semantic business metrics and KPIs with Unity Catalog Metrics.
Workshop and demo topics:
- Creating a serverless data warehouse (be strategic)
- Cloud platforms advantages to legacy on-prem warehouses
- Data governance, lineage, quality, and monitoring
- Business Semantic layer
- AI natural language queries
- AI dashboards + Genie
- SQL Alerts and More
There will be time for a Q&A to help you apply what you just learned!
Duration: 1.5 hrs