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Check batch data

Header: Pre-Batch Checks

Ensure all required data is available for batch processing

Verify that the data is properly formatted and meets the required standards

Validate the integrity of the data to ensure there are no duplicate or conflicting entries

Review any pre-processing steps or data transformations that need to be applied before batch processing

Header: Batch Processing

Confirm that the batch processing system is ready and operational

Validate that the correct batch job or script is executed for processing the data

Monitor the progress of the batch processing to ensure it is running smoothly and within the expected timeframe

Check for any error or exception messages during the processing and take appropriate actions to resolve them

Verify that the batch process completes successfully by checking for the expected output or results

Header: Post-Batch Checks

Review the generated output or result files to ensure they contain the expected data

Validate that any post-processing steps or data manipulations have been executed correctly

Verify the accuracy and completeness of the processed data by comparing it with the original input

Perform any required data reconciliation or balancing to ensure the batch processing did not introduce any discrepancies

Document any issues or discrepancies found during the batch processing and report them to the relevant stakeholders

Header: Error Handling and Logging

Ensure that appropriate error handling mechanisms are in place to capture and log any errors or exceptions encountered during batch processing

Review the error logs to identify and investigate any recurring or critical issues

Take necessary actions to resolve errors or exceptions, including reprocessing the batch if needed

Document the resolution steps for future reference and improvement of the batch processing system

Continuously monitor and improve the error handling and logging mechanisms to enhance the overall reliability and efficiency of the batch processing workflow.

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