# Spark Batch Processing - Hands-On Techniques for Broadcast Hash Join (Day 1 Lab) 

> Dive into practical Spark join optimization techniques in this hands-on video. We kick off by setting up the Spark directory and executing Docker compose for a seamless start. Learn how to efficiently read CSV files using spark.read options with headers set to true. Explore the concept and benefits…

- Web page: https://www.dataexpert.io/lesson/spark-batch-day-1-lab-v3
- Program: [Data Engineering Boot Camp V2 Combined Track](https://www.dataexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 4: Batch Pipelines with Apache Spark
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 45 min video
- Skills: Python, Data Modeling, ETL/ELT, Apache Spark
- Academy: DataExpert.io Academy

## About this lesson

Dive into practical Spark join optimization techniques in this hands-on video. We kick off by setting up the Spark directory and executing Docker compose for a seamless start. Learn how to efficiently read CSV files using spark.read options with headers set to true. Explore the concept and benefits of broadcast join, encountering and troubleshooting issues along the way. The highlight of this lab is the demonstration of the effectiveness of broadcast hash join, with a discussion on the delicate trade-off between compute and memory usage. Immerse yourself in a real-world Spark optimization experience, gaining valuable insights for your data journey. [Recorded on Dec 5th, 2023

## Navigation

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