In today's fast-paced and dynamic world, which offers thousands of possibilities and options, it is essential to monitor the delivery of your services as closely as possible to know exactly how your customers perceive your service at the exact moment. Only in this way is it possible to respond immediately to potential quality issues and resolve them in the shortest possible time to minimize the impact.
The real time aspect of data processing means that data is continuously streaming through a pipeline that prepares, enriches, analyses and stores the data in a database. In this way, problems can be identified on the fly and corrected immediately to minimize the impact.
Batch pipelines run periodically, which could mean that data is aggregated and at the end of the day everything is processed at once. The clear disadvantage of this approach is that problems are identified only after a considerable delay and the impact could already be significant.