Due to the exponential growth of digitalization, the entire globe is creating a minimum of 2.5 quintillion (2500000000000 Million) bytes of data every day and that we can denote as Big Data. Data generation is happening from everywhere starting from social media sites, various sensors, satellites, purchase transactions, Mobile, GPS signals, and much more. With the advancement of technology, there is no sign of the slowing down of data generation, instead, it will grow in a massive volume. All the major organizations, retailers, different vertical companies, and enterprise products have started focusing on leveraging big data technologies to produce actionable insights, business expansion, growth, etc.
Overview
Lambda Architecture is an excellent design framework for the huge volume of data processing using both streaming as well as batch processing methods. The streaming processing method stands for analyzing the data on the fly when it is in motion without persisting on storage area whereas the batch processing method is applied when data already in rest, means persisted in storage area like databases, data warehousing systems, etc. Lambda Architecture can be utilized effectively to balance latency, throughput, scaling, and fault-tolerance to achieve comprehensive and accurate views from the batch and real-time stream processing simultaneously.