What is the role of distributed computing frameworks in parallel indexing?

Distributed computing frameworks like MapReduce (in Hadoop) and Spark are crucial for enabling parallel indexing. They provide the infrastructure for dividing the indexing workload across multiple nodes, managing data partitioning, synchronizing processing, and handling fault tolerance. They abstract away many of the complexities of low-level parallel programming.