18089316. CONTENT PROCESSING DATA INGESTION PIPELINE MONITORING AND MANAGEMENT SYSTEM simplified abstract (Microsoft Technology Licensing, LLC)

CONTENT PROCESSING DATA INGESTION PIPELINE MONITORING AND MANAGEMENT SYSTEM

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Charlie Corredor of Seattle WA (US)

Mengdong Yang of Sammamish WA (US)

Christoffer Benjamin Rosen of Seattle WA (US)

Varadarajan Subramaniam Thiruvillamalai of Redmond WA (US)

Shijie Ma of Bellevue WA (US)

Thottam R. Sriram of Redmond WA (US)

Sarosh Anwar of Redmond WA (US)

Shashi Rekha Singaravel of Sammamish WA (US)

Robin M. Thomas of Sammamish WA (US)

CONTENT PROCESSING DATA INGESTION PIPELINE MONITORING AND MANAGEMENT SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18089316 titled 'CONTENT PROCESSING DATA INGESTION PIPELINE MONITORING AND MANAGEMENT SYSTEM

Simplified Explanation: The patent application is about monitoring and managing the health of a content processing data ingestion pipeline. It involves detecting gaps in the pipeline and automatically triggering reingestion of content elements to ensure smooth flow.

• The system monitors a data ingestion pipeline with multiple nodes from a source to a destination.
• It detects gaps in the pipeline, indicating differences in content elements between nodes.
• When a gap is detected, the system triggers reingestion of the content element from the previous node.
• The system also provides a dashboard to graphically represent the health of the ingestion pipeline.

Key Features and Innovation:

• Monitoring and managing the health of a content processing data ingestion pipeline.
• Automatic detection of gaps in the pipeline.
• Triggering reingestion of content elements to address gaps.
• Providing a dashboard to visualize the health of the pipeline.

Potential Applications: This technology can be applied in various industries such as data processing, content management, and information systems where monitoring and managing data pipelines are crucial.

Problems Solved:

• Ensures smooth flow of content elements in a data ingestion pipeline.
• Detects and addresses gaps or discrepancies in the pipeline.
• Provides real-time monitoring and management of the pipeline's health.

Benefits:

• Improves the efficiency and reliability of data processing pipelines.
• Reduces the risk of data loss or errors in content ingestion.
• Enhances overall performance and stability of content processing systems.

Commercial Applications: The technology can be used in data analytics platforms, content management systems, and information technology companies to optimize data processing workflows and ensure seamless content ingestion.

Questions about Content Processing Data Ingestion Pipeline: 1. How does the system detect gaps in the ingestion pipeline and trigger reingestion of content elements? 2. What are the potential implications of using this technology in data-intensive industries?

Frequently Updated Research: Stay updated on advancements in data processing technologies, content management systems, and real-time monitoring tools for data pipelines to enhance the efficiency of content processing workflows.

Original Abstract Submitted

Systems and methods are directed to monitoring and managing a health of a content processing data ingestion pipeline. In example embodiments, a plurality of content elements are ingested from a source to a destination through the ingestion pipeline, whereby the ingestion pipeline comprises a plurality of nodes between the source and the destination. A data management system detects a gap in the ingestion pipeline. The gap indicates a difference associated with a content element of the plurality of content elements between a first node and a second node of the ingestion pipeline. In response to detecting the gap, the data management system automatically triggers reingesting of the content element from the first node. The data management system also determines, based on monitoring of the ingestion pipeline, the health of the ingestion pipeline and provides a dashboard that graphically represents the health.