Data engineers use Pig scripts to cleanse and reshape municipal feeds before loading them into NoSQL stores. How is Pig best characterized in this framing?
Select an answer to reveal the explanation.
Short Explanation
Pig scripts are the prep cooks—clean, reshape, then plate the data for NoSQL. They are not the restaurant dining room citizens see. Get the feed tidy before it lands in the serving store.
Full Explanation
Apache Pig offers a scripting model for transforming and preparing large datasets in the Hadoop ecosystem. Municipal pipelines often cleanse feeds with Pig (or similar tooling) before loading NoSQL serving stores. That preparatory role differs from end-user UIs or specialized graph query languages. Syllabus framing treats Pig as access/transform tooling alongside broader NoSQL architecture topics.