Explain the concept of Spark’s broadcast joins

.Broadcast join is a technique used in Spark to optimize join operations between small and large datasets. In a broadcast join, the smaller dataset is broadcasted to all the worker nodes in the cluster, eliminating the need for shuffling or data movement. This is possible because the smaller dataset can fit entirely in memory on each node. By broadcasting the smaller dataset, Spark avoids the costly network transfer and leverages the memory of each worker node for faster join processing. It improves performance by reducing the data movement and network overhead associated with traditional joint operations.