Documentation, guides, and best practices for Databricks optimization
Comprehensive guide to optimizing cluster configuration for performance and cost efficiency.
Learn how Photon accelerates query performance with vectorized execution.
Configure autoscaling for compute resources to optimize costs.
Use serverless compute to eliminate cluster management overhead.
Optimize Delta Lake tables with OPTIMIZE and Z-Ordering commands.
Simplify data layout optimization with automatic clustering.
Automatically optimize tables and refresh statistics with Predictive I/O.
Compare Parquet, Delta, JSON, and CSV formats for your use case.
Improve query performance with runtime adaptive optimizations.
Optimize join performance with broadcast hints and join strategies.
Use table statistics to improve query planning.
Analyze Spark jobs, stages, and tasks using the Spark UI.
Monitor and control costs across your Databricks workspace.
Save costs with spot instances while maintaining reliability.
Enforce cost controls and best practices with cluster policies.
Real-world strategies for reducing compute costs by 40-60%.
How Photon achieves 3x faster query performance.
Introduction to automatic incremental clustering in Delta Lake.
Case studies showing AQE performance improvements.