Welcome to the Azure Databricks Knowledge Base
This Knowledge Base provides a wide variety of troubleshooting, how-to, and best practices articles to help you succeed with Azure Databricks and Apache Spark. These articles were written mostly by support and field engineers, in response to typical customer questions and issues.
- Azure Databricks administration: tips and troubleshooting
- Azure infrastructure: tips and troubleshooting
- Business intelligence tools: tips and troubleshooting
- Clusters: tips and troubleshooting
- Data management: tips and troubleshooting
- Data sources: tips and troubleshooting
- Databricks File System (DBFS): tips and troubleshooting
- Developer tools: tips and troubleshooting
- Delta Lake: tips and troubleshooting
- Jobs: tips and troubleshooting
- Job execution: tips and troubleshooting
- Libraries: tips and troubleshooting
- Machine learning: tips and troubleshooting
- Metastore: tips and troubleshooting
- Metrics: tips and troubleshooting
- Notebooks: tips and troubleshooting
- Security and permissions: tips and troubleshooting
- Streaming: tips and troubleshooting
- Visualizations: tips and troubleshooting
- Python with Apache Spark: tips and troubleshooting
- R with Apache Spark: tips and troubleshooting
- Scala with Apache Spark: tips and troubleshooting
- SQL with Apache Spark: tips and troubleshooting