Hadoop architectures refer to the various design patterns and configurations used to implement Hadoop, an open-source framework for distributed storage and processing of large datasets.
These architectures provide solutions for efficient data processing, scalability, fault tolerance, and high availability in big data environments.
Some common Hadoop architectures include:
-Single-node architecture, suitable for small-scale deployments or development environments.
-Multi-node architecture that involves multiple nodes working together to store and process data.
-High Availability architecture to ensure uninterrupted data access by replicating data across multiple nodes.
-Cluster architecture that utilizes a cluster of machines to distribute data and processing tasks.
-Hybrid architecture that combines Hadoop with other technologies to optimize specific use cases.