Master Real-time Data Processing with Lambda Architecture
A Quick Overview
Are you curious about how big data is processed and analyzed efficiently? Introducing Lambda Architecture- the foundation for managing and computing vast amounts of data in real-time and historical data
1. Batch Layer: The backbone of Lambda Architecture This layer processes large amounts of historical data & stores it in a durable & scalable manner. Also, uses technologies like Apache Hadoop to ensure reliability & efficiency in data processing.
2. Speed Layer: Where Data Meets ActionThis layer is responsible for handling real-time data and making it available to the serving layer. It uses stream processing technology to index incoming data and reduce latency.
3. Serving Layer: Real-Time Data Processing This layer indexes the batch view and speed layer data to provide real-time query capabilities. It leverages stream processing software like Apache Storm to index incoming data & reduces latency.