Give a brief on how Spark is good at low latency workloads like graph processing and Machine Learning.
The data is stored in memory by Apache Spark for faster processing and development of machine learning models, which may need a lot of Machine Learning algorithms for multiple repetitions and various conceptual steps to create an optimized model. In the case of Graph algorithms, it moves within all the nodes and edges to make a graph. These low latency workloads, which need many iterations, enhance the performance.
