About this document
Understanding Hadoop MapReduce Basics by S K is a document available to read on EtoBox.
Hadoop MapReduce uses a two-step map and reduce process to process large datasets in parallel across clusters. The map step involves splitting input data into common formats and assigning it to mapper tasks. The reduce step aggregates the output of the maps, which is done by the reducer tasks.
- Author
- S K
- Language
- EN