# Apache Spark Memory Turning, Partitioning Day 2 Lecture

> In this lecture, Zach dives into how to troubleshoot slow Spark jobs, particularly focusing on common bottlenecks that can occur in big tech environments. He discusses the impact of upstream data formats like JSON and CSV, and how they can hinder performance. He also shares insights on optimizing d…

- Web page: https://www.dataexpert.io/lesson/apache-spark-memory-turning-partitioning-day-2-lecture-may2025-p736-l1145
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Week 2: Databricks & Advanced Spark
- Access: Requires enrollment in DataExpert
- Length: 39 min video
- Skills: ETL/ELT, Apache Spark, Databricks
- Academy: DataExpert.io Academy

## About this lesson

In this lecture, Zach dives into how to troubleshoot slow Spark jobs, particularly focusing on common bottlenecks that can occur in big tech environments. He discusses the impact of upstream data formats like JSON and CSV, and how they can hinder performance. He also shares insights on optimizing data processing and managing skew data effectively.

## Navigation

- Previous lesson: [Apache Spark Shuffle Joins Day 1 Lecture](https://www.dataexpert.io/lesson/apache-spark-shuffle-joins-day-1-lecture-may2025-p736-l1142.md)
- Next lesson: [Apache Spark Memory Turning, Partitioning Day 2 Lab](https://www.dataexpert.io/lesson/apache-spark-memory-turning-partitioning-day-2-lab-may2025-p736-l1146.md)