Recommendations Now, Royalties Later

A medium Pipeline Design interview practice problem on DataDriven. Write and execute real pipeline design code with instant grading.

Domain

Pipeline Design

Difficulty

medium

Seniority

L5

Problem

We operate a streaming service with thousands of titles across licensed and original content, and viewer engagement events must reach our recommendation system in near-real time while our content acquisition team needs daily reporting on which licensed titles are delivering value. These two consumers share the same underlying event data but have distinct latency and exactness requirements. Design a streaming pipeline that serves both efficiently.

Summary

The catalog updated. Did anyone notice?

Practice This Problem

Solve this Pipeline Design problem with real code execution. DataDriven runs your solution and grades it automatically.