INTUIT INC. (20240289385). OFFSET-BASED WATERMARKS FOR DATA STREAM PROCESSING simplified abstract
Contents
OFFSET-BASED WATERMARKS FOR DATA STREAM PROCESSING
Organization Name
Inventor(s)
Amit Kalamkar of Fremont CA (US)
Vigith Maurice of Portland OR (US)
Juanlu Yu of Mountain View CA (US)
OFFSET-BASED WATERMARKS FOR DATA STREAM PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289385 titled 'OFFSET-BASED WATERMARKS FOR DATA STREAM PROCESSING
The present disclosure focuses on watermarks and watermarking techniques for data streaming pipelines. Time stamp and offset timeline data are shared by computing instances along the pipeline to enhance watermarking of the data stream. This improvement allows for better determination of completeness and materialization of results. Watermarking techniques include publishing watermark data periodically, fetching merged watermarks for vertices, and monitoring data storage for watermark data events. Consensus algorithms are utilized to maintain agreement among vertices for watermark data.
- Watermarks and watermarking techniques for data streaming pipelines
- Sharing time stamp and offset timeline data to enhance watermarking
- Improved determination of completeness and materialization of results
- Techniques include publishing watermark data, fetching merged watermarks, and monitoring data storage
- Consensus algorithms used to maintain agreement among vertices
Potential Applications: - Data streaming platforms - Real-time analytics systems - Content delivery networks
Problems Solved: - Ensuring data completeness in streaming pipelines - Enhancing result materialization accuracy
Benefits: - Improved data quality - Enhanced analytics performance - Better decision-making based on real-time data
Commercial Applications: Title: Enhanced Watermarking Techniques for Data Streaming Pipelines This technology can be applied in industries such as finance, e-commerce, and telecommunications to improve data processing efficiency and accuracy.
Questions about Watermarking Techniques for Data Streaming Pipelines:
1. How do watermarking techniques improve data completeness in streaming pipelines? Watermarking techniques enhance data completeness by sharing time stamp and offset timeline data among computing instances along the pipeline, allowing for better determination of completeness and materialization of results.
2. What are the key benefits of using consensus algorithms in maintaining agreement among vertices for watermark data? Consensus algorithms ensure that all vertices in the pipeline are in sync with the watermark data, leading to accurate and reliable watermarking of the data stream.
Original Abstract Submitted
aspects of the present disclosure relate to watermarks and watermarking techniques for data streaming pipelines. time stamp and offset timeline data is shared by computing instances along the pipeline to enable improved watermarking of the data stream through the pipeline. the improved watermarks enable better determination of completeness for the data stream and improve materialization of the results. the watermarking techniques can include periodically publishing watermark data by processing units of a vertex, fetching a merged watermark for a vertex by a vertex, and/or watching a data storage for the watermark data for events. consensus algorithms can be used to maintain consensus among vertices for the watermark data.
