Why would the city store multi-terabyte camera index archives on HDFS rather than relying on a conventional NAS share alone?
Select an answer to reveal the explanation.
Short Explanation
Giant camera indexes want a filesystem that spreads blocks, survives node loss, and sits next to cluster compute. That is HDFS’s job description.
Full Explanation
HDFS is a distributed file system designed for very large files, replication-based fault tolerance, and data locality with parallel processing frameworks. Conventional NAS can serve files but typically lacks Hadoop’s block distribution and compute colocation model at Big Data scale. Choosing HDFS for multi-terabyte analytical archives aligns storage with cluster processing patterns.