Cloud Data Architectures: Lambda, Kappa, and Data Warehouse
Understand three types of cloud data architectures: Lambda architecture, Kappa architecture, and data warehouse.
We will look at three widely-used cloud data architecture frameworks: Lambda architecture, Kappa architecture, and data warehouse. The list is not complete, but it encourages us to do a trade-off analysis before choosing the right cloud data architecture. Cloud data architecture, by design, handles the ingestion, transformation, and analysis of data that is too large or complex for traditional data architectures.
Lambda architecture
In the mid-2010s, the rise of Apache Kafka as a stream-processing platform empowered companies to apply real-time algorithms to data, generating quicker and better insights. Given this real-time data processing trend, data engineers must figure out how to combine batch and streaming processes into one unified data architecture.
Lambda architecture is designed to handle massive data arriving through both batch and stream processes. The approach tries to balance accuracy, latency, and throughput by using batch data to provide comprehensive and accurate views, while simultaneously using stream data to provide a real-time view of the most recent data. ...
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