What is Lambda Architecture and how do I implement it?

What is Lambda Architecture and how do I implement it?

Lambda Architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing. To implement it, you typically need three layers: the batch layer, the speed layer, and the serving layer.

Can you explain the components of each layer?

Sure! The batch layer manages the master dataset and pre-computes batch views. The speed layer processes real-time data and provides low-latency updates. The serving layer merges the outputs from both layers to provide a comprehensive view.

What technologies are commonly used for each layer?

For the batch layer, technologies like Hadoop or Spark are popular. The speed layer often uses Apache Storm or Apache Kafka, while the serving layer can utilize databases like Cassandra or HBase.

What are the advantages of using Lambda Architecture?

The main advantages include fault tolerance, scalability, and the ability to process both real-time and historical data efficiently.