# Parallel Processing

Parallel processing divides a computation into tasks that run simultaneously across multiple processors or machines. It is the core technique that makes big data processing feasible, as tasks that would take hours on a single machine can complete in minutes when distributed. Spark and Hadoop both use parallelism to handle large-scale data.

Visit the following resources to learn more:

- [@article@What Is Parallel Processing?](https://www.spiceworks.com/tech/iot/articles/what-is-parallel-processing/)
- [@article@How Parallel Computing Works](https://computer.howstuffworks.com/parallel-processing.htm)