Sometimes, your data sources produce too much data to process, the operation that you want to use over the data uses is too intensive to process on collection, or you need to analyze data but it doesn't need to be in real time (whatever that means for your application). In order to process this data effectively, it needs to happen away from the action, so to speak, in a remote system or at an off-peak time. Batch processing happens periodically.
Batch processing is a useful tool in the arsenal of data scientists, developers, and engineers. Being able to process large amounts of data for further analysis or for presentation to business users without overloading your application services or databases allows you to schedule and execute your analysis patterns across a number of AWS services.
In order to set this service up, perform the following steps:
- Create...
