Data processing in Data Engineering
Data processing in data engineering can be defined in layman’s terms as the manipulation, transformation, and analysis of raw data which is done to extract the meaningful information. This provides ease in decision-making. Various types of data processing techniques are used to process data, like, ELT, data streaming, warehousing, batch processing, ML algorithms, etc.
What is the difference between batch processing and real-time processing?
In this article, we will learn about two fundamental methods that govern the flow of information and understand how data gets processed in the digital world. We start with simple definitions of batch processing and real-time processing, and gradually cover the unique characteristics and differences.
Table of Content
- Data processing in Data Engineering
- Batch Processing in Data Engineering
- Real-time Processing
- Difference between Batch processing and Real-time Processing
Contact Us