There are several aspects of tuning Spark applications toward better optimization techniques. In this section, we will discuss how we can further optimize our Spark applications by applying data serialization by tuning the main memory with better memory management. We can also optimize performance by tuning the data structure in your Scala code while developing Spark applications. The storage, on the other hand, can be maintained well by utilizing serialized RDD storage.

One of the most important aspects is garbage collection, and it's tuning if you have written your Spark application using Java or Scala. We will look at how we can also tune this for optimized performance. For distributed environment- and cluster-based system, a level of parallelism and data locality has to be ensured. Moreover, performance could further be improved by using broadcast variables.