What is Lambda Architecture and how do I get started with it?

What is Lambda Architecture and how do I get started with it?

Lambda Architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing. To get started, you should understand its three layers: the batch layer, the speed layer, and the serving layer.

Can you explain the three layers in more detail?

Sure! The batch layer manages the master dataset and pre-computes the 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 unified view.

What technologies should I use for each layer?

For the batch layer, you can use Hadoop or Spark. For the speed layer, Apache Storm or Apache Kafka are great options. The serving layer can be implemented with databases like Cassandra or HBase.

Are there any common challenges I should be aware of?

Yes, some common challenges include data consistency between layers, managing latency, and ensuring scalability as data volume grows.