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.
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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.