Telecom — Multi-Source Telecom Data Ingestion Pipeline
FreeThis DAG ingests and normalizes data from multiple sources in the telecom sector, ensuring data integrity for compliance and governance. It provides accessible outputs via an API for analytical purposes.
Overview
The primary purpose of this DAG is to facilitate the ingestion of multi-source data within the telecom industry, enhancing governance and compliance efforts. It consolidates data from various sources, including ERP systems, CRM platforms, and business APIs, into a unified data warehouse. The ingestion pipeline begins with data extraction from these diverse sources, followed by normalization processes to ensure consistency across datasets. Quality control measures are then applied to validate dat
The primary purpose of this DAG is to facilitate the ingestion of multi-source data within the telecom industry, enhancing governance and compliance efforts. It consolidates data from various sources, including ERP systems, CRM platforms, and business APIs, into a unified data warehouse. The ingestion pipeline begins with data extraction from these diverse sources, followed by normalization processes to ensure consistency across datasets. Quality control measures are then applied to validate data integrity, including checks for completeness, accuracy, and timeliness. The processed data is subsequently made available through a RESTful API, allowing for seamless integration into analytical tools and dashboards. Monitoring key performance indicators (KPIs) such as data ingestion speed, error rates, and data quality metrics is crucial for maintaining operational efficiency. In the event of any failures during the ingestion process, a robust recovery mechanism is in place to ensure minimal disruption. By implementing this DAG, telecom organizations can achieve enhanced data governance, compliance with regulatory requirements, and improved decision-making capabilities based on reliable data.
Part of the Supply/Demand Forecast solution for the Telecom industry.
Use cases
- Improves data integrity for compliance and governance
- Enhances decision-making with reliable data access
- Reduces operational risks through quality controls
- Facilitates regulatory compliance in telecom operations
- Streamlines data integration for analytical insights
Technical Specifications
Inputs
- • ERP transaction logs
- • CRM customer interaction data
- • Business API data feeds
Outputs
- • Normalized data sets in data warehouse
- • RESTful API for data access
- • Data quality reports
Processing Steps
- 1. Extract data from ERP systems
- 2. Extract data from CRM platforms
- 3. Extract data from business APIs
- 4. Normalize and transform the data
- 5. Apply quality control checks
- 6. Store data in the data warehouse
- 7. Expose data via RESTful API
Additional Information
DAG ID
WK-0427
Last Updated
2025-01-23
Downloads
58