Which technology is commonly used in big data storage solutions to process large datasets in memory across distributed computing clusters?

Apache Spark is commonly used in big data storage solutions to process large datasets in memory across distributed computing clusters. It provides an efficient and fault-tolerant framework for distributed data processing, enabling tasks like data transformation, querying, and machine learning on massive datasets in real-time or batch mode. Spark's in-memory processing capability enhances performance compared to traditional disk-based processing, making it a popular choice for big data analytics and processing.