# Apache Spark: Managing Spark Jobs and Notebooks Day 2 Lecture

> In this lecture, Zach discusses the intricacies of managing Spark jobs and notebooks, highlighting the challenges of achieving code modularity and the nuances of jar submissions for Scala Spark and PySpark.

- Web page: https://learn.dataexpert.io/lesson/apache-spark-day-2-lecture-yt
- Program: [Boot Camp: Community Edition](https://learn.dataexpert.io/program/free-community-boot-camp)
- Module: Apache Spark Fundamentals
- Access: Requires enrollment in Boot Camp: Community Edition
- Length: 34 min video
- Skills: ETL/ELT, Apache Spark, Databricks
- Academy: DataExpert.io Community Academy

## About this lesson

In this lecture, Zach discusses the intricacies of managing Spark jobs and notebooks, highlighting the challenges of achieving code modularity and the nuances of jar submissions for Scala Spark and PySpark.

## Navigation

- Previous lesson: [Apache Spark: Hands-On for Broadcast and Hash Joins Day 1 Lab](https://learn.dataexpert.io/lesson/apache-spark-day-1-lab-yt.md)
- Next lesson: [Apache Spark: User-Defined Functions and Broadcast Join Day 2 Lab](https://learn.dataexpert.io/lesson/apache-spark-day-2-lab-yt.md)