Data architectures
Modern data architectures have evolved significantly over the past decade to enable organizations to harness the power of big data and drive advanced analytics. Two key architectural patterns that have emerged are the Lambda and Kappa architectures. In this section, we will have a look at both of them and understand how they can provide a useful framework for structuring our big data environment.
The Lambda architecture
The Lambda architecture is a big data processing architecture pattern that balances batch and real-time processing methods. Its name comes from the Lambda calculus model of computation. The Lambda architecture became popular in the early 2010s as a way to handle large volumes of data in a cost-effective and flexible manner.
The core components of the Lambda architecture include the following:
- Batch layer: Responsible for managing the master dataset. This layer ingests and processes data in bulk at regular intervals, typically every...
