How does the use of distributed computing frameworks like Apache Spark improve data analytics?

Apache Spark speeds up data processing by distributing tasks across multiple computing nodes, handling large datasets efficiently with parallel computing. For example, Analyzing vast customer transaction data to find patterns using Apache Spark.