Lambda Architecture
Lambda Architecture is a data-processing design pattern for handling massive quantities of data by combining batch and stream-processing methods. It provides a robust, fault-tolerant system that can process both real-time and historical data efficiently. The architecture consists of three layers: batch, speed (or streaming), and serving, which work together to provide a comprehensive view of data.
Developers should learn Lambda Architecture when building systems that require low-latency processing of real-time data while maintaining accuracy through batch processing, such as in big data analytics, IoT applications, or financial trading platforms. It's particularly useful for scenarios where data volume is high and both real-time insights and historical analysis are critical, as it balances speed and reliability by leveraging the strengths of both batch and stream processing.