A company notices a decline in the data quality score after modifying their ETL process. What aspects should they investigate?
- Data Transformation Logic, Data Loading Speed, Source Data Quality, Target Data Structure
- ETL Tools Compatibility, Source System Scalability, Target System Connectivity, Data Extraction Methods
- Hardware Specifications, Network Latency, Data Encryption Methods, Data Governance Policies
- Metadata Management, Data Profiling Techniques, Data Archiving Strategies, Data Validation Techniques
When data quality declines after modifying the ETL process, investigation should focus on aspects like the correctness of data transformation logic, speed of data loading, source data quality, and compatibility with the target data structure. This helps identify and rectify issues affecting data quality.
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