Production-grade Spark optimization

🚀 Spark Performance Optimization Session

Struggling with slow Spark jobs or high cluster costs?

In this session, I will help you analyze and optimize your Spark pipelines used in production environments.

What we will cover:

• Spark DAG analysis

• Shuffle bottleneck detection

• Data skew fixes

• Partitioning strategy improvements

• Broadcast joins & caching strategies

• Spark SQL optimization

• Cluster resource tuning

Ideal for:

• Data Engineers

• Spark Developers

• Engineers preparing for Spark interviews

• Teams running Spark in production

By the end of the session you will have clear actionable steps to improve Spark performance and reduce runtime.

Hosted by

Dibya Ranjan Rath

Senior Data Engineer