Event Platforms

Concepts covered: paEventPlatforms

What They Want to Hear 'Kafka is a distributed event streaming platform. Producers write events to topics. Each topic is split into partitions for parallel processing. Consumers read from partitions using consumer groups, where each partition is assigned to exactly one consumer in the group. The key difference from a traditional message queue: Kafka retains events after they are read, so multiple consumers can independently replay the same data.' That is the answer. Topics, partitions, consumer groups, and retention. Four concepts in four sentences. The Vocabulary to Use

About This Interactive Section

This section is part of the Streaming Systems: Beginner 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.

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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.