What is Lambada?

The term 'Lambada Architecture' refers to a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. It aims to provide a balanced approach to handling real-time and historical data, offering low latency for recent data and comprehensive analysis for historical data. It consists of three layers: the batch layer (for storing and processing historical data), the speed layer (for processing recent data in real-time), and the serving layer (for querying and presenting the results from both layers). It is commonly used in applications that require both real-time insights and long-term data analysis.