Cloud-Native ETL Service for Data Processing
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Solution Overview
Problem
Traditional ETL solutions like AbInitio are costly, not cloud-native, and require significant infrastructure and specialized skills, posing challenges in staffing and integration with CI/CD pipelines.
Innovation Solution
A cloud-native ETL module that provides ETL as a service, enabling users with SQL knowledge to perform data processing without needing advanced programming skills, through a user interface platform that fetches, transforms, and transmits data in real-time, batch, or stream processing modes, with features like data augmentation, normalization, and business rule application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ETL solutions like AbInitio are used, then data processing capability is provided, but license cost and infrastructure requirement increase significantly
Solution Approach 1:
The patent implements a cloud-based ETL service that replicates traditional ETL functionality without requiring local installation of complex ETL software like AbInitio. The ETL engine runs remotely in the cloud, and users access it through standard web browsers, effectively copying the essential functionality while eliminating the need for dedicated infrastructure.
Solution Approach 2:
The system enables self-service ETL operations through a web interface where users can configure data extraction, transformation, and loading parameters without needing specialized ETL tools or infrastructure. The cloud platform automatically manages the ETL processes, reducing infrastructure requirements while maintaining processing capability.
2Reliability
If AbInitio is used for ETL, then data processing is enabled, but additional adapters and plug-ins are required for cloud integration
Solution Approach 1:
The patent describes a universal ETL service platform that can process data from multiple sources and integrate with various cloud services through a standardized web interface. The system uses common web technologies (HTML, CSS, JavaScript) and standard protocols, eliminating the need for proprietary adapters or plug-ins while maintaining broad data processing capability.
3Reliability
If AbInitio is used, then ETL functionality is provided, but specialized staffing and training requirements increase
Solution Approach 1:
The patent replaces the mechanical system of specialized ETL software with a cloud-based service accessed through standard web browsers. This substitution eliminates the need for specialized ETL tool knowledge and training, as users interact with the system through familiar web interfaces rather than requiring expertise in proprietary ETL tools like AbInitio.
4Reliability
If traditional ETL tools are used, then data processing is achieved, but CI/CD pipeline integration requires additional development effort
Solution Approach 1:
The patent implements an intermediary web interface layer between the ETL engine and CI/CD pipelines. This intermediary uses standard web protocols and can be accessed through any programming language or platform, simplifying integration with CI/CD systems compared to direct integration with proprietary ETL tools that require custom adapters.
Data Source
AI summary
A system and method for enabling ETL (Extract-Transform-Load) as a service for data processing are disclosed. A user interface (UI) platform includes an input interface layer and an output interface layer. A receiver receives user input, via the input interface layer, of configuration details data corresponding to a desired data to be fetched from one or more data sources. A processor fetches the desired data from said one or more data sources based on the configuration details data to be utilized for the desired data processing scheme; automatically implements a transformation algorithm on the desired data corresponding to the configuration details data and the desired data processing scheme to output a transformed data in a predefined format; and transmits, via the output interface layer, the transformed data to downstream applications or systems in an end-to-end pipeline.