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Video games · player analytics
Delta Lake for Gaming Analytics
Microsoft Xbox — The Coalition
Moving a game studio off on-premise SQL Server and Hive onto an Azure Databricks lakehouse.
Azure Databricks Delta Lake Power BI Azure Data Factory Azure Bicep Azure DevOps MLflow
The team
- 2 Data Engineers
- 1 BI Engineer
- 2 Data Scientists
- 1 Senior Manager, Analytics
Starting state
- HDInsight and Hive for staging
- On-premise SQL Server and SSIS for fact and dimension tables
Use cases
- Player behaviour and engagement
- Monetisation
- Game balance
- Skin, weapon and feature usage
- Multiplayer balance
Architecture
What was built
- Hourly batch from Azure Storage into Delta Lake
- Bronze and silver layers in append mode, with minimal and then schema-level transformation
- Gold fact tables built with MERGE, or INSERT plus DELETE
- Power BI for reporting
- Azure Bicep for infrastructure and Azure DevOps for CI/CD
- MLflow and Azure Data Factory orchestration in the service layer
What changed
- Staging and modelling consolidated onto one lakehouse instead of Hive plus an on-premise SQL Server.
- The medallion split made the transformation cost explicit: minimal in bronze, schema work in silver, heavy logic in gold.
- Append-mode bronze and silver left the door open to Structured Streaming without redesigning the pipeline.
- Infrastructure and deployment moved into code with Bicep and Azure DevOps.
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