Big Data Architectures - rnakidi/dsa GitHub Wiki
Two Big Data Architectures You Should Know
As data volumes explode, choosing the right architecture is crucial.
Let's explore two approaches:
- Lambda Architecture:
- Handles both batch and streaming data
- Batch layer for complete historical analysis
- Speed layer for real-time insights
- Perfect when you need both historical accuracy and real-time views
- Kappa Architecture: The Streamlined Solution
- Single processing path through stream processing
- Uses tools like Apache Kafka for data ingestion
- Simpler to maintain and operate
- Ideal for real-time processing needs
Lambda is excellent for complex analytics requiring historical depth, while Kappa shines when real-time processing is your primary focus.