Where do HDFS, YARN, and processing engines typically sit among city Big Data architecture layers?
Select an answer to reveal the explanation.
Short Explanation
HDFS is the big shared filing cabinet, YARN hands out the workers, and engines do the heavy lifting on top. None of that lives in the brochure CDN or the dashboard color picker.
Full Explanation
In layered Big Data architectures, the Hadoop ecosystem commonly anchors distributed storage (HDFS) and resource management (YARN), with MapReduce, Spark, or similar engines in the processing layer. Placement literacy matters for civic designs that adopt Hadoop-family components. CDN brochure delivery, desktop plugins, or UI theming are not those roles. Correct placement keeps capacity planning and data locality aligned with architecture diagrams.