Abstract
Managing the lifecycle of complex data processing operations involves significant challenges in ensuring consistency, handling dependencies, optimizing resource usage, and maintaining data quality across large-scale data assets that are not met by existing solutions. This disclosure describes a cohesive approach to data management by encapsulating related data components into unified containers with automated versioning, access control, and dependency tracking, and operation monitoring for greater efficiency, consistency, and data discoverability across the entire lifecycle of the data. A unified container can serve as a simplified grouping mechanism that enables key tasks to be managed at the container level instead of being handled individually in a fragmented manner. Centralizing data handling via a unified controller can enhance the user experience of data management. The unified container can be integrated with query analysis tools, instrumented to allow users to visualize and observe the operation of the pipeline at the container level, and integrated with platforms used by data consumers. The techniques can be implemented to scale to complex data infrastructures and accommodate growing data processing and analysis needs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Mahajan, Puneet; Gokhale, Suryakant; Wright, Race; Kusarye, Romit; Brown, Ashley; and Jain, Vijay, "Unified Container Platform for Data Management Across the Entire Lifecycle", Technical Disclosure Commons, (July 25, 2025)
https://www.tdcommons.org/dpubs_series/8392