Skip to main content

9. Unified Analytics

You'll understand how to go from production tables to consistent KPIs and business-facing analytics surfaces: metric views, dashboards, Genie, and apps.

Prereqs: 7. Build the first ETL pipeline, 8. Query and Explore, Unity Catalog foundations

Why this matters

Your gold tables are not the finish line. Business users need consistent numbers. They also need a way to reach those numbers without writing SQL.

The next step is planning the semantics and serving layer. Define your KPIs once, in Unity Catalog, so SQL editors, dashboards, Genie, and third-party apps all return the same number. Then surface those metrics through Databricks AI/BI, all querying through a SQL warehouse.

Starter Journey Progress

CI/CD and DevOps
Data Access Control
Automation & Orchestration
Unified AnalyticsDA
Predictive AnalyticsML
AgentsAI
Query and Explore
Build the First Pipeline
Access Your Data
Data Governance Strategy
Cost Monitoring
Infra SetupDEVSTGPRD
Completed Current Pending

Mental model

Databricks Data Intelligence Platform diagram with four layers highlighted: tables in purple, business semantic layer in red, data warehousing in orange, and AI/BI in green.

HighlightLayerWhat it is
PurpleTablesThe medallion bronze, silver, and gold tables produced by your data engineering pipelines. Every query in the serving layer reads from here.
RedBusiness semantic layerWhere you define KPIs, business aggregates, concepts, and synonyms once, on top of the tables. Unity Catalog metric views live here.
OrangeData warehousingAll AI/BI tools, applications, and third-party BI apps reach the data through a SQL warehouse. The warehouse is the single query gateway.
GreenAI/BIGenie and Dashboards. The surfaces business users actually interact with. Both read from metric views through the warehouse.

In this section

SectionWhat you'll do
Business SemanticsDefine KPIs as Unity Catalog metric views so every tool returns the same number.
Databricks AI/BI: DashboardsBuild and share visual reports backed by governed lakehouse data.
Databricks AI/BI: Genie SpacesLet business users ask data questions in natural language.
Databricks AppsBuild and deploy custom web applications on Databricks.

Next