Backpressure

Concepts covered: paStreamProcessing

What They Want to Hear 'Backpressure happens when downstream cannot process data as fast as upstream produces it. Without handling it, you either drop data, run out of memory, or queue indefinitely. My approach: buffer short spikes, throttle the producer for sustained overload, and auto-scale the consumer if the infrastructure supports it.' Then name the four strategies.

About This Interactive Section

This section is part of the How Data Moves: Advanced lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.

How DataDriven Lessons Work

DataDriven combines four interview rounds (SQL, Python, Data Modeling, Pipeline Architecture) with adaptive difficulty and spaced repetition. Easy problems get harder as you improve. Weak concepts resurface until you master them. Your readiness score tracks progress across every topic interviewers test. Every lesson section ends with problems you solve by writing and running real code, not by picking multiple-choice answers.