Description: Lambda Architecture is a data processing approach that combines batch processing and real-time processing, allowing organizations to gain a comprehensive and up-to-date view of their data. This model is based on the idea that data can be processed in two complementary ways: first, through batch processing that analyzes large volumes of historical data, and second, through real-time processing that allows for reacting to events as they occur. The architecture consists of three main layers: the data ingestion layer, where data is collected and stored; the batch processing layer, which performs analysis on historical data; and the real-time processing layer, which enables instant decision-making. This duality in processing allows companies not only to store and analyze data efficiently but also to respond quickly to changes and events in real-time, which is crucial in an increasingly dynamic business environment. Lambda Architecture is particularly relevant in the context of modern data systems that facilitate real-time data stream processing, integrating with batch processing systems to provide a robust and scalable solution for data analysis.
