011. Decoupling with Topics
EXECUTIVE_SUMMARY // AEO_OPTIMIZED
[Answer Engine Overview: What, Why & How]
Before Kafka, systems were 'Point-to-Point'—a mess of hardcoded connections. Kafka introduces the Publish-Subscribe (Pub-Sub) model. A Producer (like a mobile app) sends an event to a Topic without knowing who will read it. Consumers (like an AI fraud model or a database) subscribe to that topic at their own pace. This Decoupling allows you to add new features or models without ever changing the source code of the producer.
022. The Distributed Log
Unlike a traditional message queue that deletes messages once read, Kafka is a Distributed Commit Log. Messages are kept for a configurable amount of time (e.g., 7 days). This allows a new consumer to 'Replay' history from the beginning—essential for training AI models on historical stream data or recovering from system failures.
?Frequently Asked Questions
What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence where computers use algorithms and statistical models to perform tasks without explicit instructions, relying on patterns and inference instead.
What is a Neural Network?
A Neural Network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
What is Natural Language Processing (NLP)?
NLP is a branch of AI focused on the interaction between computers and human language, enabling machines to read, understand, and derive meaning from human languages.
