Expandable ETL Framework with Configuration-Driven External Transformations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing ETL frameworks require developers to write custom code for each operation, lacking flexibility and expandability to perform new data transformations without modifying the framework.
Innovation Solution
An ETL framework that includes reusable modules and configuration files to execute new data transformations via external command data, such as SQL statements, allowing integration of external modules without altering the framework's native properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers write custom code for each ETL operation, then the framework can perform specific data transformations, but the framework lacks flexibility and expandability for new transformations
Solution Approach 1:
The patent uses configuration files as templates or blueprints that define ETL operations. Instead of writing custom code for each transformation, developers create configuration files that specify data sources, transformations, and destinations. The ETL framework then executes these configurations, allowing new transformations to be added simply by creating new configuration files rather than modifying the framework itself.
Solution Approach 2:
The patent enables dynamic modification of ETL behavior through configuration parameters. By changing values in configuration files (such as data source paths, transformation rules, and destination specifications), the system can perform different data transformations without code changes. This parameter-driven approach provides flexibility while maintaining a stable framework core.
2Adaptability or versatility
If the framework is modified to support new data transformations, then new capabilities are added, but the core framework structure changes
Solution Approach 1:
The patent separates the ETL system into two distinct layers: a stable core framework that provides execution infrastructure, and configurable operation definitions that specify individual ETL tasks. This segmentation allows new transformations to be defined in configuration files without modifying the framework core, maintaining structural stability while enabling new capabilities.
Solution Approach 2:
The patent introduces configuration files as an intermediary layer between the framework core and specific ETL operations. This intermediary allows the framework to execute new transformations by loading and processing configuration definitions, without requiring changes to the framework's core structure. The configuration files act as a buffer that enables adaptability while preserving framework stability.
3Productivity
If developer tools provide ETL functionality, then data can be moved and transformed, but teams must write code for each operation reducing efficiency
Solution Approach 1:
The patent enables self-service ETL operations through configuration files. Instead of requiring developers to write and maintain custom code for each ETL task, the system allows operations to be defined and executed through configuration specifications. This reduces the coding burden and allows business users or analysts to potentially define their own ETL operations without programming expertise.
Solution Approach 2:
The patent replaces the mechanical process of writing and executing custom code with a configuration-driven approach. Configuration files serve as a higher-level abstraction that the framework translates into executable ETL operations. This substitution eliminates the need for manual coding while maintaining full ETL functionality, significantly improving productivity and ease of operation.
Data Source
AI summary
Apparatus and methods for expanding a data transfer framework are disclosed. Exemplary implementations may: provide an ETL framework comprising a plurality of ETL modules and comprising code including variables; obtain a configuration file including data values to replace the variables for executing selected ETL modules, and including external command data configured to execute a new data transformation external to and absent from the ETL framework, the external command data including a reference to an external module generated in relation to an external interface; and execute the one or more selected ETL modules based on the code, the data values and the external command data. Exemplary implementations provide a flexible and expandable ETL framework that enable a new type of data transformation that is not currently supported by the framework, without having to modify the framework. The framework may impart native properties and characteristics of the framework to the external module.