Overview
Batch processing is a method of handling large volumes of data by processing it in groups or batches at scheduled times. This approach is useful for tasks that don't require immediate results, such as data analysis and reporting. Understanding batch processing helps you manage data efficiently and optimize system performance, making it an essential skill in data engineering.
📚 Key Learning Objectives
- ✓ Define batch processing and its key characteristics.
- ✓ Identify use cases for batch processing in data engineering.
- ✓ Explain the advantages and disadvantages of batch processing.
- ✓ Describe the tools commonly used for batch processing.
- ✓ Create a simple batch processing workflow using sample data.
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