Telecom — Multi-Source Telecom Data Ingestion Pipeline

Overview

The purpose of this DAG is to streamline the ingestion of diverse data sources within the telecom sector, including ERP systems, CRM platforms, ITSM tools, business APIs, and IoT logs. The architecture is designed to normalize and consolidate these varied data streams into a centralized data warehouse, enabling comprehensive analysis and reporting. The ingestion pipeline begins with data extraction from specified sources, followed by normalization processes that ensure consistency across dataset

The purpose of this DAG is to streamline the ingestion of diverse data sources within the telecom sector, including ERP systems, CRM platforms, ITSM tools, business APIs, and IoT logs. The architecture is designed to normalize and consolidate these varied data streams into a centralized data warehouse, enabling comprehensive analysis and reporting. The ingestion pipeline begins with data extraction from specified sources, followed by normalization processes that ensure consistency across datasets. Quality control measures are integrated at each stage, including data validation checks and error logging, to maintain data integrity throughout the ingestion process. Outputs from this pipeline include structured datasets ready for analysis, comprehensive logs for traceability, and performance metrics for monitoring purposes. Key performance indicators (KPIs) such as ingestion time and error rates are tracked to ensure operational efficiency and data quality. The business value of this DAG lies in its ability to provide a unified view of telecom operations, facilitating better decision-making and enhancing customer experiences through data-driven insights.

Part of the Scientific ML & Discovery solution for the Telecom industry.

Use cases

• Provides a comprehensive view of telecom operations
• Enhances decision-making through unified data insights
• Improves customer experience with accurate data
• Reduces operational risks with quality controls
• Enables faster response to market changes and trends