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Getting Started with
Databricks SQL
Analytics
Simon Whiteley
Director of Engineering, Advancing Analytics
Agenda
§ The Lakehouse Challenge
§ SQL Analytics
§ Key Concepts
The Lakehouse Challenge
RAW BASE
PARQUET
The Modern Warehouse
Data Engineers &
Data Scientists
Report
Consumers
BI Developers
RAW BASE ENRICHED
DELTA DELTA
The Lakehouse
Delta brings huge benefits to data
engineers, but what about the
other users i...
Challenges
Love writing SQL, Care about performance & modelling
Love SQL typedown, code snippets, execution plans
Not Spar...
Databricks SQL Analytics
Data Science &
Engineering
Workspace
SQL
Analytics
Workspace
• Full Technical Control
• Many Languages
• Notebook
Developm...
Data Science &
Engineering
Workspace
SQL
Analytics
Workspace
Lake Data
Acquire & Transform
Data into Lake
Surface Data as
...
Key Concepts – SQL Endpoint Configuration
Key Concepts – Queries
Key Concepts – Dashboards
Key Concepts – Alerts
Key Concepts – History
SQL Analytics Workspace
§ Setting up an Endpoint
§ Writing Queries
§ Building Dashboards
§ Alerts & History
SQL Analytics & Power BI
SQL Analytics & Power BI
Completing Your Lakehouse Journey
RAW BASE ENRICHED
DELTA DELTA
Databricks SQL Analytics
welcomes the BI community into
the Lakehouse Architecture
Feedback
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Don’t forget to rate and review the sessions.
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Getting Started with Databricks SQL Analytics

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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.

Getting Started with Databricks SQL Analytics

  1. 1. Getting Started with Databricks SQL Analytics Simon Whiteley Director of Engineering, Advancing Analytics
  2. 2. Agenda § The Lakehouse Challenge § SQL Analytics § Key Concepts
  3. 3. The Lakehouse Challenge
  4. 4. RAW BASE PARQUET The Modern Warehouse Data Engineers & Data Scientists Report Consumers BI Developers
  5. 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. 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. 7. Databricks SQL Analytics
  8. 8. Data Science & Engineering Workspace SQL Analytics Workspace • Full Technical Control • Many Languages • Notebook Development Environment • Simplified Controls • SQL-Only • Query Builder & Dashboarding
  9. 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. 10. Key Concepts – SQL Endpoint Configuration
  11. 11. Key Concepts – Queries
  12. 12. Key Concepts – Dashboards
  13. 13. Key Concepts – Alerts
  14. 14. Key Concepts – History
  15. 15. SQL Analytics Workspace § Setting up an Endpoint § Writing Queries § Building Dashboards § Alerts & History
  16. 16. SQL Analytics & Power BI
  17. 17. SQL Analytics & Power BI
  18. 18. Completing Your Lakehouse Journey
  19. 19. RAW BASE ENRICHED DELTA DELTA Databricks SQL Analytics welcomes the BI community into the Lakehouse Architecture
  20. 20. Feedback Your feedback is important to us. Don’t forget to rate and review the sessions.
  • saurabhverma2412

    Jul. 24, 2021

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.

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