Data Pipeline Management Tool for Efficient Function Integration
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Solution Overview
Problem
Conventional approaches to managing data pipelines are inefficient, as users face difficulties in identifying and integrating previous operations, modifying operation orders, and debugging code, due to limitations in traditional coding tools that do not allow for separate execution of individual operations or accurate result verification.
Innovation Solution
A system that provides a set of functions for data, allowing users to select, group, and generate pipelines of operations, including modification and visualization operations, with a pipeline creation interface for searching, creating, and modifying functions, and generating dependency graphs to track changes and their impacts on related functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search for and integrate previously written operations into new pipelines, then pipelines can be created, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system performs preliminary actions by automatically searching for, retrieving, and integrating previously written operations into new pipelines before the user needs them. This eliminates the manual search and integration process, significantly reducing pipeline creation time and resource consumption.
Solution Approach 2:
The system enables self-service by allowing users to verify individual operations and debug code through automatic execution of selected operations. The system independently handles the execution and verification process, providing immediate feedback without requiring manual intervention for each operation test.
2Reliability
If traditional coding tools are used to manage pipelines, then code can be written, but users cannot run individual operations separately to check accuracy
Solution Approach 1:
The system segments the pipeline into individual operations that can be executed and verified separately. Each operation can be selected and run independently to check accuracy before being integrated into the complete pipeline, enabling precise debugging and verification without executing the entire pipeline.
Solution Approach 2:
The system introduces an intermediary execution environment that sits between the user and the full pipeline execution. This intermediary allows users to select and execute individual operations or subsets of operations, providing a controlled environment for verification and debugging before committing to full pipeline execution.
3Productivity
If users recode operations manually, then pipelines can be built, but the process becomes resource-intensive and error-prone
Solution Approach 1:
The system uses copying by automatically retrieving and reusing previously written operations instead of requiring users to recode them manually. This preserves the original code accuracy while significantly speeding up pipeline development, as proven operations can be copied and integrated into new pipelines without reimplementation errors.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media are provided for managing pipelines of operations on data. A system may access data and provide a set of functions for the data. The system may receive a user's selection of one or more functions from the set of functions. The system may generate a pipeline of operations for the data based on the user's selection. The pipeline of operations may include the function(s) selected by the user.