Summary
In this chapter, we learned about designing Spark clusters for different types of workloads. We also learned about Databricks Pools, spot instances, and the Spark UI. These features help reduce costs and help make Spark jobs more efficient when they're used for the right kind of workload. Now, you will be more confident in deciding on the correct cluster configuration for a certain type of workload. Moreover, the decision you make will be influenced by useful features such as spot instances, pools, and the Spark UI.
In the next chapter, we will dive into the Databricks optimization techniques concerning Spark DataFrames. We will learn about the various techniques and their applications in various scenarios.
