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Transport & Logistics — Multi-Source Data Ingestion for Unified Transport Insights

Free

This DAG ingests data from various sources to create a unified view for transport operations. It ensures data quality and traceability while providing actionable insights for decision-making.

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Overview

The primary purpose of the 'Multi-Source Data Ingestion for Unified Transport Insights' DAG is to aggregate and normalize data from diverse sources such as ERP systems, CRM platforms, IT Service Management (ITSM) tools, Microsoft 365 applications, and various business APIs. This ingestion pipeline is designed to facilitate a comprehensive understanding of transport and logistics operations by consolidating data into a single repository. The architecture includes several key steps: first, data is

The primary purpose of the 'Multi-Source Data Ingestion for Unified Transport Insights' DAG is to aggregate and normalize data from diverse sources such as ERP systems, CRM platforms, IT Service Management (ITSM) tools, Microsoft 365 applications, and various business APIs. This ingestion pipeline is designed to facilitate a comprehensive understanding of transport and logistics operations by consolidating data into a single repository. The architecture includes several key steps: first, data is extracted from the specified sources, followed by a normalization process to ensure consistency across datasets. Quality control measures are then applied to validate the integrity and accuracy of the ingested data, which includes checks for completeness and correctness. After processing, the data is stored in a centralized data warehouse, making it readily accessible for analytics and reporting purposes. In the event of any failures during the ingestion process, alerts are generated to enable rapid recovery and minimize downtime. Key performance indicators (KPIs) for monitoring this DAG include data ingestion speed, error rates, and the volume of data processed. The business value of this DAG lies in its ability to provide transport and logistics companies with a unified view of their operations, leading to improved decision-making, enhanced operational efficiency, and better resource allocation.

Part of the Data & Model Catalog solution for the Transport & Logistics industry.

Use cases

  • Provides a comprehensive view of transport operations
  • Enhances decision-making with accurate data insights
  • Improves operational efficiency through data consolidation
  • Facilitates compliance with data governance standards
  • Reduces downtime with rapid failure recovery mechanisms

Technical Specifications

Inputs

  • • ERP transaction logs
  • • CRM customer interaction records
  • • ITSM incident management data
  • • Microsoft 365 collaboration data
  • • Business API response data

Outputs

  • • Normalized data sets in the data warehouse
  • • Quality control reports
  • • Data ingestion success and failure alerts

Processing Steps

  1. 1. Extract data from ERP, CRM, ITSM, and APIs
  2. 2. Normalize data formats for consistency
  3. 3. Apply quality control checks on ingested data
  4. 4. Store validated data in the data warehouse
  5. 5. Generate alerts for any ingestion failures

Additional Information

DAG ID

WK-1288

Last Updated

2025-10-30

Downloads

110

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