Lambda Architecture
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May 1, 2024
2 minute read
Lambda Architecture is a data processing architecture that handles data in batch and real-time modes. It's designed to process massive volumes of data in a scalable and fault-tolerant manner. Lambda Architecture is commonly used in big data processing and stream processing applications.
Data Processing with Lambda Architecture
Lambda Architecture consists of three layers:
- Batch Layer: Processes data in batch mode, providing a complete and consistent view of the data over time. It's used for historical analysis and reporting purposes.
- Serving Layer: Processes data in real-time, providing a near real-time view of the data. It's used for interactive queries and visualizations.
- Speed Layer: Provides low-latency access to the most recent data, enabling real-time decision-making and event handling.
The three layers work together to provide a comprehensive view of data, from historical to near real-time to real-time.
Read More
Find a path to becoming a Lambda Architecture. Learn more at:
OpenCourser.com/topic/tt7vzp/lambda
