Which HDFS characteristic best matches typical Big Data analytics workloads for municipal archives?
Select an answer to reveal the explanation.
Short Explanation
HDFS likes big files you write once and read a lot, like a city’s archived sensor lakes. It is not a cash register clicking tiny updates all day.
Full Explanation
HDFS characteristics emphasize large files, streaming-oriented reads, and write-once/read-many workloads common in analytics. It is a poor fit when treated as a high-churn OLTP store of tiny random updates. Aligning municipal archive patterns to those strengths avoids forcing transactional semantics onto a distributed analytical filesystem.