What are some common batching errors in data processing?
Common batching errors include data misalignment, incorrect batch sizes, and timing issues during processing.
How can I prevent data misalignment in my batches?
To prevent data misalignment, ensure consistent data formats and validate data before batching.
What tools can help with batch processing?
Tools like Apache Spark, Hadoop, and AWS Batch are great for efficient batch processing.
Can you explain timing issues in more detail?
Timing issues occur when batches are processed at different times, leading to inconsistencies. Synchronizing processes can help.
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