IT wants Hadoop- or Spark-style stacks without tying every node to a named physical rack forever. What cloud underpinning enables that flexibility?
Select an answer to reveal the explanation.
Short Explanation
Virtualization is the stage curtain—Hadoop and Spark nodes appear as VMs or managed services without owning a forever rack map. Physical iron still exists; you just stop babysitting every bolt. That is cloud infrastructure under the stack.
Full Explanation
Cloud Big Data platforms rest on virtualization (and often managed services) that abstract physical servers into flexible virtual machines or higher-level offerings. That abstraction lets cities provision Hadoop/Spark-style environments without permanent one-to-one rack assignments. Hard-coding to chassis, banning VMs, or building-scale reservations fight the Chapter 9 virtualization story. Understanding virtualization is prerequisite awareness for cloud-hosted Big Data.