Interactive Data Pipeline Sessions With Secure Cluster Access
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Solution Overview
Problem
Conventional data pipeline generation systems are inefficient, inaccurate, and inflexible due to the need for local generation without access to secure data, leading to repeated deployment cycles and errors from using mock or synthetic data, and limited access to various data sources and connectors.
Innovation Solution
A secure remote pipeline generation system that utilizes a dedicated computing cluster to access secure data within an integrated development environment, allowing for an interactive pipeline session to generate and test data pipelines before deployment, using actual secure data and multiple types of connectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data pipeline generation systems require local generation without access to secure data, then data security is maintained, but pipeline generation efficiency and accuracy deteriorate due to repeated deployment cycles and error identification
Solution Approach 1:
The patent introduces a dedicated computing cluster as an intermediary environment that provides secure access to actual data during the pipeline generation process. This mediator allows developers to test pipelines with real data without compromising security, eliminating the need for repeated deployment cycles while maintaining data protection through controlled access mechanisms.
Solution Approach 2:
The system enables preliminary testing and validation of data pipelines within the secure computing cluster before actual deployment. By performing error identification and pipeline validation in advance using real secure data, the system prevents the need for multiple deployment-redeployment cycles, thereby improving generation efficiency while maintaining security protocols.
2Reliability
If mock or synthetic data is used to test data pipelines, then data security is maintained, but pipeline accuracy deteriorates due to missing dependencies, permissions, and data quality issues
Solution Approach 1:
The dedicated computing cluster serves as a secure intermediary that provides access to actual production data during the pipeline development and testing phase. This eliminates the need for mock or synthetic data, allowing pipelines to be tested with real data including all its dependencies, permissions, and quality characteristics, thereby improving accuracy while maintaining security through controlled access.
Solution Approach 2:
The system creates a secure copy or replica of the production data environment within the dedicated computing cluster. This copy maintains the same data structure, dependencies, and permissions as the actual production data, enabling accurate pipeline testing without exposing the real data to unauthorized access or compromising security protocols.
3Device complexity
If conventional systems limit access to certain data sources and connectors, then system complexity is reduced, but system flexibility and adaptability deteriorate
Solution Approach 1:
The dedicated computing cluster is designed with multi-functionality to support access to multiple types of data sources and connectors simultaneously. This universal platform can handle various data formats, protocols, and connection methods within a single secure environment, thereby improving system flexibility and adaptability without significantly increasing overall system complexity through standardized interfaces.
Data Source
AI summary
The disclosed systems provide an interactive pipeline session that provides a secure environment to generate and test a data pipeline prior to deployment, utilizing secure data that the data pipeline will utilize upon deployment. The disclosed systems generate a dedicated computing cluster based on receiving a request to initiate an interactive pipeline session within the integrated development environment and authenticate the dedicated computing cluster, which provides the dedicated computing cluster with access to secured data at a secure data source. The disclosed systems can then execute the interactive pipeline session by utilizing the dedicated computing cluster to generate a data pipeline for secure data. Additional features and advantages of one or more embodiments of the present disclosure are outlined in the description which follows, and in part will be obvious from the description, or may be learned by the practice of such example embodiments.