Web Traffic Log Data Validation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing solutions for web traffic data collection and analysis are not adaptable to different formats, lack customization, and fail to validate the correctness of log data, leading to inaccuracies and duplicate information.
Innovation Solution
A system that includes a processor to receive and validate preprocessed log data in a predetermined format, generate metadata, and provide alert data for preprocessing errors, allowing for customizable and dynamic collection and validation of web traffic data in near-realtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing solutions are used for web traffic data collection, then data collection can be performed, but the solutions are not adaptable to different formats of log data and lack customization
Solution Approach 1:
The patent implements dynamic format configuration that allows the data collection system to adapt to different log data formats through configurable schemas. The system can dynamically adjust its parsing and validation rules based on the specific format requirements of different data sources, making it versatile without requiring fixed rigid structures.
Solution Approach 2:
The patent creates a universal data collection framework that can handle multiple types and structures of log data through a single configurable system. By implementing a standardized interface with customizable format definitions, the system achieves multi-functionality across different data formats while maintaining a unified architecture.
2Reliability
If existing solutions are used for web traffic data collection, then data collection can be performed, but validation of log data correctness is not performed leading to inaccuracies
Solution Approach 1:
The patent implements preliminary validation of log data against configurable format schemas before the data is processed further. By performing format verification and data type checking in advance, the system ensures data accuracy and identifies errors early, preventing propagation of incorrect data through the analysis pipeline.
Solution Approach 2:
The patent incorporates feedback mechanisms that validate log data against predefined formats and provide error reporting when data does not conform to expected structures. This feedback loop allows the system to detect and report validation failures, ensuring data reliability while maintaining automated correction or rejection of invalid entries.
3Manufacturing precision
If existing solutions are used for web traffic data collection, then data collection can be performed, but duplicate information and inaccuracies occur due to lack of customization
Solution Approach 1:
The patent implements local quality control by allowing different validation rules and processing logic to be applied to different fields within the log data based on their specific requirements. Each data field can have customized format definitions, data type constraints, and validation criteria, enabling precise handling of diverse data structures without requiring uniform processing for all fields.
Data Source
AI summary
Methods, apparatuses, and systems for collecting and validating web traffic data, including receiving preprocessed log data representing an activity of a device interacting with a data service; validating the preprocessed log data in accordance with a predetermined format, the format comprising a field indicative of a predetermined data type and a field indicative of a predetermined validation condition associated with the predetermined data type; and generating metadata associated with validated preprocessed log data.