Spark is delightful for Big Data analysis. It allows using very high-level code to perform a large variety of operations. It also supports SQL, so you don’t need to learn a lot of new stuff to start being productive in Spark (of course assuming that you have some knowledge of SQL). However, if you want to use Spark more efficiently, you need to learn a lot of concepts, especially about data partitioning, relations between partitions (narrow dependencies vs.