What are the different deployment methods for Hadoop?

There are several ways to deploy Hadoop:

1. Single-node deployment: Installing Hadoop on a single computer with all components running on the same machine. Suitable for development and testing environments.
2. Pseudo-distributed deployment: simulating multiple node clusters on a single computer, where each Hadoop component runs in separate processes. It is suitable for small-scale data processing.
3. Distributed deployment involves setting up a Hadoop cluster on multiple computers, with each machine playing a different role such as NameNode, DataNode, ResourceManager, NodeManager, etc. This is suitable for processing large-scale data.
4. Cloud platform deployment: Deploying Hadoop on a cloud platform allows for the elastic scaling up and down of cluster size based on actual needs, making it suitable for scenarios with high flexibility requirements.