What are the common challenges in batch processing?
Common challenges in batch processing include data quality issues, processing delays, and resource management.
Can you elaborate on data quality issues?
Sure! Data quality issues can arise from incomplete, inconsistent, or inaccurate data, leading to errors in processing.
How can we mitigate processing delays?
To mitigate processing delays, you can optimize your batch size, improve system performance, and monitor workloads.
What tools can help with batch processing?
Tools like Apache Spark, Hadoop, and AWS Batch are popular for efficient batch processing.
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