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High Tech — Multi-Source Data Ingestion Pipeline for Governance and Compliance

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This DAG automates the ingestion of multi-source data for effective cataloging and compliance. It ensures data quality and security through normalization and role-based access control.

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Overview

The high_tech_kmds_data_ingestion DAG serves the critical purpose of automating the ingestion of data from various sources, including ERP systems, CRM platforms, and business APIs. By streamlining this process, organizations can enhance their governance and compliance efforts. The architecture consists of a robust data pipeline that begins with the extraction of data from the specified sources. Once ingested, the data undergoes a series of transformation steps to normalize and validate its quali

The high_tech_kmds_data_ingestion DAG serves the critical purpose of automating the ingestion of data from various sources, including ERP systems, CRM platforms, and business APIs. By streamlining this process, organizations can enhance their governance and compliance efforts. The architecture consists of a robust data pipeline that begins with the extraction of data from the specified sources. Once ingested, the data undergoes a series of transformation steps to normalize and validate its quality, ensuring compliance with industry standards. This includes the implementation of role-based access control (RBAC) to secure sensitive information throughout the process. After processing, the cleaned and structured data is stored in a centralized data warehouse, making it readily available for analytics and reporting. Key performance indicators (KPIs) such as data latency and volume are monitored to ensure the efficiency of the ingestion process. By leveraging this DAG, businesses in the high-tech industry gain significant value through improved data governance, enhanced compliance capabilities, and streamlined access to critical data assets.

Part of the Scientific ML & Discovery solution for the High Tech industry.

Use cases

  • Improved data governance and compliance
  • Enhanced data quality and integrity
  • Streamlined access to critical data assets
  • Reduced manual data handling efforts
  • Increased operational efficiency and decision-making

Technical Specifications

Inputs

  • • ERP transaction logs
  • • CRM customer interaction data
  • • Business API response data

Outputs

  • • Normalized data sets in the data warehouse
  • • Compliance reports for regulatory audits
  • • KPIs dashboard for data ingestion performance

Processing Steps

  1. 1. Extract data from ERP, CRM, and APIs
  2. 2. Normalize and validate incoming data
  3. 3. Implement role-based access controls
  4. 4. Store processed data in the data warehouse
  5. 5. Monitor data latency and volume
  6. 6. Generate compliance reports
  7. 7. Update KPIs dashboard

Additional Information

DAG ID

WK-0948

Last Updated

2025-11-04

Downloads

39

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