Defense & Aerospace — Data Normalization and Quality Validation Pipeline

Overview

The primary purpose of this DAG is to process ingested data by applying rigorous normalization and validation rules to guarantee data integrity within the Defense & Aerospace industry. The data sources include ERP transaction logs, sensor data from defense systems, and compliance reports. The ingestion pipeline begins with the extraction of these diverse data inputs, which are then subjected to a series of processing steps designed to ensure conformity with predefined quality standards. During

The primary purpose of this DAG is to process ingested data by applying rigorous normalization and validation rules to guarantee data integrity within the Defense & Aerospace industry. The data sources include ERP transaction logs, sensor data from defense systems, and compliance reports. The ingestion pipeline begins with the extraction of these diverse data inputs, which are then subjected to a series of processing steps designed to ensure conformity with predefined quality standards. During the processing phase, the DAG applies normalization techniques to standardize data formats and values, followed by validation checks to verify data accuracy and completeness. Quality control tests are conducted at each stage to ensure that the data meets the established expectations. In cases of non-conformance, the system generates alerts for immediate intervention, enabling rapid response to potential issues. The outputs of this pipeline include validated data sets, detailed quality reports, and historical logs for traceability. Monitoring key performance indicators (KPIs) such as data accuracy rates, validation failure rates, and processing times is essential to maintain operational excellence. The business value of this DAG lies in its ability to enhance data reliability, reduce operational risks, and ensure compliance with industry standards, ultimately supporting mission-critical decision-making processes in the Defense & Aerospace sector.

Part of the Data & Model Catalog solution for the Defense & Aerospace industry.

Use cases

• Improved data integrity reduces operational risks
• Enhanced compliance with industry regulations
• Faster response times to data quality issues
• Increased trust in data-driven decision making
• Streamlined data management processes