Big data is at the center of all business decisions these days. It refers to large volumes of data generated through different sources, and this data then provides the foundation for business decisions. The concept of data has been there for centuries, but only now do we have enough computational resources to process and use that data. There are different ways through which we can process data. The two popular ways used for data processing are batch processing and stream processing. Let’s discuss each process in detail and understand their differences.
What Is Batch Processing?
Batch processing is a method to process large volumes of data in batches, and this is done at a specific scheduled time. Data is collected over a period of time, and at a specific time interval, it is processed, and output data is sent to other systems or stored in a data warehouse. The size of data in batch processing is known.
https://dzone.com/articles/stream-processing-vs-batch-processing-what-to-know
