Optimize Spark Performance & Throughput
Completed by Jibi Nowrin V K
March 4, 2026
4 hours (approximately)
Jibi Nowrin V K's account is verified. Coursera certifies their successful completion of Optimize Spark Performance & Throughput
What you will learn
Inspect Spark UI and metrics (task duration, shuffle I/O, executor CPU/mem) to find bottlenecks and recommend actionable optimizations.
Apply partitioning and skew mitigation (salting/custom partitioner) & reduce shuffle (broadcast joins, avoid groupByKey, AQE) to improve parallelism.
Configure executors, cores, memory, dynamic allocation and parallelism/caching settings to maximize throughput while meeting defined SLA targets.
Skills you will gain
- Category: Memory Management
- Category: Scalability
- Category: Resource Allocation
- Category: Apache Spark
- Category: System Configuration
- Category: Debugging
- Category: Process Optimization
- Category: Performance Analysis
- Category: PySpark
- Category: Service Level
- Category: Performance Tuning
- Category: Job Analysis
