Binary Data Extractor and Iterator for Pipeline Processing
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Solution Overview
Problem
Existing data pipeline systems face challenges in efficiently processing and transforming binary data items into suitable formats for further processing, particularly in extracting and identifying specific portions of data items and transforming them for use by other components within the system.
Innovation Solution
A data pipeline system comprising a binary data extractor, a data iterator, and a data converter that receive data portion identifiers to extract and transform binary data items, with the data converter applying scaling factors and format specifications to convert data into usable formats, such as numerical values, for processing by other components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If binary data items are extracted and transformed using traditional data pipeline systems, then data processing capability is provided, but processing efficiency and accuracy deteriorate due to inability to efficiently extract specific portions and apply proper transformations
Solution Approach 1:
The patent segments binary data items into extractable portions using structured identifiers (data portion identifiers that may include superframe, frame, subframe, word, and line identifiers). This segmentation enables precise extraction of specific data portions without processing entire binary items, improving both efficiency and accuracy.
Solution Approach 2:
The patent introduces an intermediary data extractor component that acts as a mediator between the binary data input and the transformation processes. This extractor uses data portion identifiers to precisely locate and extract required data portions, serving as an efficient intermediary that bridges data retrieval and processing stages.
2Adaptability or versatility
If data transformation is applied to convert binary data into usable formats, then data usability improves, but processing complexity increases due to multiple transformation steps
Solution Approach 1:
The patent implements a universal data transformation framework that can handle multiple data formats and transformation types through a unified approach. The system applies transformations (such as scaling, offset adjustments, and format conversions) using a common methodology, making the system adaptable to various data formats without requiring separate complex processing paths for each format.
Solution Approach 2:
The patent transforms binary data by changing parameters such as scaling factors, offsets, and data representation formats. This parameter-based transformation approach allows flexible conversion between different data formats while maintaining a consistent processing structure, reducing overall system complexity.
3Loss of information
If entire binary data items are processed, then complete data information is available, but processing time and resource consumption increase
Solution Approach 1:
The patent extracts only the necessary portions of binary data items using data portion identifiers instead of processing entire binary items. This selective extraction removes unnecessary data portions, reducing processing time and resource consumption while maintaining access to complete data information when needed through subsequent retrieval operations.
Data Source
AI summary
A data pipeline system includes a binary data extractor to receive a data portion identifier, extract a portion of a binary data item based on the data portion identifier; and output the portion of the binary data item. A data iterator provides a first data portion identifier to the binary data extractor, receives, from the binary data extractor, a first portion of the binary data item, determines a second data portion identifier, provides the second data portion identifier to the binary data extractor, receives, from the binary data extractor, a second portion of the binary data item, and outputs the second portion of the binary data item. A data converter receives, from the data iterator, the second portion of the binary data item; and transforms, based on a data format specification, at least the second portion of the binary data item for processing by components of the data pipeline system.