Analysts want familiar SQL to join large municipal DataFrames in Spark without writing low-level RDD code. What access style does that describe?
Select an answer to reveal the explanation.
Short Explanation
Analysts already speak SQL. Spark SQL lets them ask big-table questions in that language while Spark handles the heavy lifting underneath. It is like ordering dinner in plain English while the kitchen runs industrial gear.
Full Explanation
Spark SQL and DataFrame APIs expose relational operations over distributed data with a SQL-oriented access style. Analysts can express large joins and aggregations without dropping to low-level RDD transforms. This is ecosystem awareness of SQL-on-Spark, not a specialty vendor certification deep dive.