Media — Data Normalization and Quality Control for Media Streaming

Overview

The primary purpose of the media_streaming_km1_normalisation_quality DAG is to process and normalize ingested media data, ensuring high-quality outputs that adhere to industry standards. The pipeline begins with data ingestion from various sources, such as media asset management systems, content delivery networks, and user-generated content platforms. Once data is ingested, it undergoes a series of processing steps, including normalization, where inconsistencies in formats and metadata are resol

The primary purpose of the media_streaming_km1_normalisation_quality DAG is to process and normalize ingested media data, ensuring high-quality outputs that adhere to industry standards. The pipeline begins with data ingestion from various sources, such as media asset management systems, content delivery networks, and user-generated content platforms. Once data is ingested, it undergoes a series of processing steps, including normalization, where inconsistencies in formats and metadata are resolved. Quality control tests are applied to verify compliance with established standards, including checks for completeness, accuracy, and consistency. The results of these quality checks are stored in a historical database, allowing for ongoing monitoring and governance of data quality. In the event of a failure during processing, a robust recovery mechanism is activated to maintain data integrity and ensure that no data loss occurs. Key performance indicators (KPIs) such as data accuracy rates, processing times, and error rates are monitored to provide insights into the effectiveness of the pipeline. The business value of this DAG lies in its ability to enhance the reliability of media data, streamline workflows, and ultimately improve content delivery and user experience in the media industry.

Part of the Knowledge Portal & Ontologies solution for the Media industry.

Use cases

• Improved data reliability enhances content delivery quality
• Streamlined workflows reduce operational inefficiencies
• Increased compliance with industry standards mitigates risks
• Enhanced user experience through accurate media content
• Data governance supports regulatory compliance and audits