Topic
Streams
Learn Streams as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts5 Articles1h 56m
Overview
Learn Streams as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Stream Processing
System Design
#apache Spark
Architecture
Learning Path in this Topic
Series that contain articles from Streams. Select a path to filter the article list.
Articles
5 matched articles
Article 1Java 8 to 11: Lambdas, Streams, Modules, and the End of BoilerplateTLDR: Java 8 introduced the most impactful set of language features in Java's history — lambdas eliminated anonymous inner classes, streams replaced imperative loops, and Optional made null handling e16 minArticle 2High-Level Design: Building a Real-Time Ad Click Aggregator at ScaleTLDR: Scaling an ad click aggregator requires processing massive event streams (billions of clicks per day) with exactly-once delivery guarantees. We achieve this using Kafka-based event ingestion, Ap9 minArticle 3Spark Structured Streaming: Micro-Batch vs Continuous Processing📖 The 15-Minute Gap: How a Fraud Team Discovered They Needed Real-Time Streaming
A fintech team runs payment fraud detection with a well-tuned Spark batch job. Every 15 minutes it reads a day's worth27 min
Article 4Change Feed vs Change Stream: CDC Internals, Reliability, and When to Avoid EachIn the summer of 2023, the platform team at a fast-growing e-commerce company was handling 100,000 orders per day across three microservices: Order Service, Inventory Service, and Billing Service. All49 min
Article 5Stream Processing Pipeline Pattern: Stateful Real-Time Data ProductsTLDR: Stream pipelines succeed when event-time semantics, state management, and replay strategy are designed together — and Kafka Streams lets you build all three directly inside your Spring Boot serv15 min