A city GIS archive of multi-terabyte aerial imagery must land on the municipal Hadoop cluster. How does HDFS typically store each huge file?
Select an answer to reveal the explanation.
Short Explanation
Think of a warehouse palletizing one giant shipment into many crates. HDFS does the same: huge files become fixed-size blocks spread across DataNodes. That layout is how the cluster stores volume without stuffing everything onto one disk.
Full Explanation
HDFS stores large files by splitting them into fixed-size blocks and placing those blocks on DataNodes across the cluster. The NameNode tracks which blocks belong to which file; the bytes themselves live on the DataNodes. Contiguous single-volume OLTP storage, NameNode-held file bodies, and USB hand-offs are not how HDFS scales municipal imagery archives.