What is audit table typology in etl batch processing?

jatin

Member
I'm working with ETL batch processes and came across the term "audit table typology." Can someone explain what it means, how audit tables are structured, and why they are important for data validation and tracking in ETL pipelines?
 
Audit table typology in ETL batch processing refers to the structured use of control tables to monitor and log data workflows. It includes batch control, job-level, source-target, and error logging tables. These help ensure data integrity, enable traceability, support error handling, and enhance overall process transparency.
 
Audit table typology in ETL batch processing refers to the different types of tables used to track and record the execution, status, and data changes during an ETL batch run. These tables are crucial for monitoring, troubleshooting, ensuring data quality, and compliance.

Common typologies include:

  • Batch Control Tables: Track the overall batch execution (start/end times, status, number of records processed).
  • Error/Reject Tables: Store data records that failed transformation or validation, along with error messages.
  • Data Lineage/Change Tables: Record "before" and "after" images of data, showing how data was transformed at each step.
  • Summary/Aggregate Tables: Store summarized metrics like row counts, financial totals, or data quality scores for each batch.
 
In ETL (Extract, Transform, Load) batch processing, an audit table is used to track the status, progress, and history of data processing. It logs metadata such as timestamps, success or failure status, the number of records processed, errors, and other key details to ensure data integrity and traceability. The audit table typology refers to the design or structure of these tables, typically including columns like batch ID, status, error messages, and processing time. This allows teams to monitor and troubleshoot the ETL pipeline effectively and maintain accurate logs of data transformations.
 
Audit table typology in ETL batch processing means keeping track of ETL jobs.

It uses tables to log things like:
  • When the job started and ended
  • How many records were processed
  • Any errors that happened

This helps to monitor and check if the data load was successful.
 
Audit table typology in ETL batch processing refers to different types of audit tables used to track and record details about data loads and transformations. These tables help monitor data quality, processing status, errors, and performance for each ETL batch, ensuring transparency and easier troubleshooting in data pipelines.
 
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