It has long been said that business intelligence needs a relational warehouse, but that view is changing. With the Lakehouse architecture being shouted from the rooftops, Databricks have released SQL Analytics, an alternative workspace for SQL-savvy users to interact with an analytics-tuned cluster. But how does it work? Where do you start? What does a typical Data Analyst’s user journey look like with the tool? This session will introduce the new workspace and walk through the various key features – how you set up a SQL Endpoint, the query workspace, creating rich dashboards and connecting up BI tools such as Microsoft Power BI. If you’re truly trying to create a Lakehouse experience that satisfies your SQL-loving Data Analysts, this is a tool you’ll need to be familiar with and include in your design patterns, and this session will set you on the right path.

1. Getting Started with
Databricks SQL
Analytics
Simon Whiteley
Director of Engineering, Advancing Analytics

2. Agenda
§ The Lakehouse Challenge
§ SQL Analytics
§ Key Concepts

3. The Lakehouse Challenge

4. RAW BASE
PARQUET
The Modern Warehouse
Data Engineers &
Data Scientists
Report
Consumers
BI Developers

5. RAW BASE ENRICHED
DELTA DELTA
The Lakehouse
Delta brings huge benefits to data
engineers, but what about the
other users in our ecosystem?

6. Challenges
Love writing SQL, Care about performance & modelling
Love SQL typedown, code snippets, execution plans
Not Spark Developers
Just want their dashboards to work
Minimal Technical barriers, Maximum Performance
BI Developers
Report Consumers

7. Databricks SQL Analytics

8. Data Science &
Engineering
Workspace
SQL
Analytics
Workspace
• Full Technical Control
• Many Languages
• Notebook
Development
Environment
• Simplified Controls
• SQL-Only
• Query Builder &
Dashboarding

9. Data Science &
Engineering
Workspace
SQL
Analytics
Workspace
Lake Data
Acquire & Transform
Data into Lake
Surface Data as
Hive Tables
SQL
Exploring, Shaping
& Visualising the
data via SQL

10. Key Concepts – SQL Endpoint Configuration

11. Key Concepts – Queries

12. Key Concepts – Dashboards

13. Key Concepts – Alerts

14. Key Concepts – History

15. SQL Analytics Workspace
§ Setting up an Endpoint
§ Writing Queries
§ Building Dashboards
§ Alerts & History

16. SQL Analytics & Power BI

17. SQL Analytics & Power BI

18. Completing Your Lakehouse Journey

19. RAW BASE ENRICHED
DELTA DELTA
Databricks SQL Analytics
welcomes the BI community into
the Lakehouse Architecture

20. Feedback
Your feedback is important to us.
Don’t forget to rate and review the sessions.