Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets.

Here is a step-by-step explanation of the HDFS architecture:

1. **NameNode and DataNodes:** HDFS operates on a Master-Slave architecture model where the NameNode acts as the master node for keeping a track of the storage cluster and the DataNodes acts as a slave node summing up to the various systems within a Hadoop cluster.

2. **HDFS Cluster:** An HDFS cluster is comprised of a single NameNode that manages the file system metadata and one or more DataNodes that store the actual data.

3. **Block Size:** In HDFS, the data is divided into blocks, and these blocks are stored in a set of DataNodes. The HDFS block size is much larger than that of disk blocks. The default size of HDFS block is 64MB.

4. **Replication Management:** HDFS provides a high degree of fault tolerance by replicating the data blocks across multiple DataNodes. By default, the replication factor is 3, but it can be configured according to the need.

5. **Data Coherency:** Write-once-read-many access model has been implemented to ensure the coherency of data.

6. **High Availability and Failover:** HDFS provides mechanisms for the quick failover to a new NameNode if the current NameNode fails.

7. **Data Integrity:** HDFS can detect errors in data sent across the network or stored on disk by using checksums.

As for the diagram, I'm sorry I can't provide a diagram here as this is a text-based platform. However, you can easily find HDFS architecture diagrams through a quick online search. The diagram should show a NameNode at the center, with DataNodes connected to it, and data blocks distributed among the DataNodes.

Question

Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets.

Here is a step-by-step explanation of the HDFS architecture:

1. **NameNode and DataNodes:** HDFS operates on a Master-Slave architecture model where the NameNode acts as the master node for keeping a track of the storage cluster and the DataNodes acts as a slave node summing up to the various systems within a Hadoop cluster.

2. **HDFS Cluster:** An HDFS cluster is comprised of a single NameNode that manages the file system metadata and one or more DataNodes that store the actual data.

3. **Block Size:** In HDFS, the data is divided into blocks, and these blocks are stored in a set of DataNodes. The HDFS block size is much larger than that of disk blocks. The default size of HDFS block is 64MB.

4. **Replication Management:** HDFS provides a high degree of fault tolerance by replicating the data blocks across multiple DataNodes. By default, the replication factor is 3, but it can be configured according to the need.

5. **Data Coherency:** Write-once-read-many access model has been implemented to ensure the coherency of data.

6. **High Availability and Failover:** HDFS provides mechanisms for the quick failover to a new NameNode if the current NameNode fails.

7. **Data Integrity:** HDFS can detect errors in data sent across the network or stored on disk by using checksums.

As for the diagram, I'm sorry I can't provide a diagram here as this is a text-based platform. However, you can easily find HDFS architecture diagrams through a quick online search. The diagram should show a NameNode at the center, with DataNodes connected to it, and data blocks distributed among the DataNodes.

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