IT lists failures including schema drift, cluster cost overruns, skill gaps, and batch windows too slow for same-day decisions. What do these illustrate in BDPC terms?
Select an answer to reveal the explanation.
Short Explanation
Schema chaos, surprise cluster bills, missing skills, and batch jobs that finish after the decision deadline—that is the challenge checklist, not a victory parade. Administering Big Data means expecting those pains and planning for them. Toner jokes aside, people and platforms both strain.
Full Explanation
BDPC learning objectives include valuing main technological and organizational challenges in Big Data administration—such as evolving schemas, infrastructure cost, workforce skills, and processing latency that misses decision windows. Claiming there are no challenges, reducing issues to unrelated consumables, or denying skill-gap impact contradicts that framing. Naming the failure modes is the first step toward mapping solutions.