ETL Code Validation Script Automating Compliance Checks
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Solution Overview
Problem
Manual reviews of ETL code for compliance with naming, coding, and performance standards are time-consuming and prone to errors, making it difficult to ensure 100% adherence to quality standards, especially in projects with aggressive timelines and complex logic involving numerous jobs and objects.
Innovation Solution
The Validation Script tool automatically validates ETL code by parsing it against received standards, generating reports that highlight violations, and facilitating a partially manual review process, allowing for efficient identification and correction of code issues before delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual reviews are conducted to validate ETL code compliance with standards, then code quality can be assessed, but the review process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated computer-based validation system. The computer automatically parses ETL code, compares it against stored standards, and generates compliance reports, eliminating the need for human reviewers to manually examine each code element while ensuring consistent and accurate compliance assessment.
Solution Approach 2:
The validation system enables the code itself to be self-validated against predefined standards. The computer automatically performs the compliance check without requiring external human intervention, allowing the system to service its own quality assurance needs efficiently and repeatedly.
2Reliability
If manual reviews are performed to ensure adherence to hundreds of standards, then code compliance can be checked, but reviewers frequently overlook standards and make mistakes
Solution Approach 1:
The patent replaces human reviewers with an automated computer system that systematically checks code against all stored standards. This eliminates human errors, fatigue, and oversight issues, ensuring that every standard is consistently applied without exception while maintaining high detection accuracy across all compliance criteria.
3Productivity
If automated validation is implemented to reduce review time, then productivity increases, but the complexity of the validation system increases
Solution Approach 1:
The patent stores validation standards in advance in a structured format within the computer system before code validation begins. This preliminary preparation of standards allows the automated validation process to efficiently compare code against pre-defined criteria without requiring complex real-time decision-making, thereby increasing productivity while managing system complexity through upfront standardization.
Data Source
AI summary
An approach for validating code for an extract, transform and load tool is provided. Naming, coding, and performance standards for the code are received. The code is exported to a job definition file and parsed. Violations of the standards are determined by a mismatch between the parsed code and the standards. A report identifying the violations is generated. Based on a review of the report and a rework of the code to comply with the standards, the reworked code is exported to another job definition file and parsed, and subsequently is determined to not include the violations of the standards. A second report is generated that indicates the reworked code does not include the violations. An approval of the reworked code is received based on the second report. Based on attributes of a job included in the code, a violation of one of the performance standards is determined.


