Cascading Data Impact Visualization for Cloud Lineage
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Solution Overview
Problem
Migrating to cloud computing environments complicates tracking data flow across multiple linked data resources, making it challenging to assess and manage the impact of data changes, which can lead to unnecessary downtime and resource loss due to unanticipated failures in downstream data resources.
Innovation Solution
A cascading data impact visualization tool that consolidates data lineage documents to provide a graphical view of interrelationships between data resources, allowing users to identify and communicate the impact of changes, ensuring informed decision-making and efficient updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data resources are migrated to cloud computing environments with multiple linked data resources, then computing resources and flexibility are improved, but tracking data flow and assessing impact of data changes becomes more difficult
Solution Approach 1:
The patent introduces a data lineage document as an intermediary mechanism that captures and stores information about data flow relationships between cloud resources. This mediator enables users to track data flow paths and assess impact without needing to directly monitor complex inter-resource connections, thus resolving the contradiction between cloud flexibility and data flow tracking difficulty
Solution Approach 2:
The system creates a virtual copy of the data flow relationships through data lineage documents, which replicate the actual data flow paths in a manageable format. This copying approach allows users to analyze and visualize data relationships without interfering with the actual cloud infrastructure, solving the tracking difficulty while preserving cloud adaptability
2Productivity
If data changes are implemented without impact analysis, then development speed is improved, but downstream data resource failures increase causing downtime and resource loss
Solution Approach 1:
The patent implements preliminary impact analysis by querying data lineage documents before data changes are applied. This advance action identifies all downstream resources that would be affected by a proposed change, allowing developers to plan and coordinate updates proactively, thus preventing failures while maintaining development speed
Solution Approach 2:
The system provides feedback about the impact of data changes by retrieving and analyzing data lineage information that shows which downstream resources depend on the changed data. This feedback mechanism enables developers to adjust their changes based on identified impacts, ensuring reliability without sacrificing productivity
3Measurement precision
If comprehensive data flow tracking is implemented across all data resources, then impact assessment accuracy is improved, but system complexity and time required for analysis increase
Solution Approach 1:
The patent extracts only the essential data flow relationship information from the complex cloud infrastructure and stores it in simplified data lineage documents. This extraction approach retains the accuracy needed for impact assessment while removing unnecessary complexity, allowing precise analysis without overwhelming system complexity
Solution Approach 2:
The system segments the comprehensive data flow tracking into discrete data lineage documents that can be individually queried and analyzed. This segmentation allows the system to maintain high measurement precision for impact assessment while reducing overall system complexity by organizing information into manageable, isolated units
4Ease of operation
If data lineage information is consolidated and visualized, then communication of impact to stakeholders is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary consolidation of data lineage information from multiple sources into unified documents before impact analysis is needed. This advance preparation reduces processing time during actual impact assessment by having the data ready in an optimized format, thus improving communication efficiency without significant time loss
Solution Approach 2:
The system merges scattered data flow information from multiple cloud resources into consolidated data lineage documents. This combining approach improves ease of operation by providing a unified view of impacts while managing processing time through efficient aggregation methods that prevent redundant computations
Data Source
AI summary
Methods and systems described herein may retrieve a data lineage associated with a first computing system comprising a plurality of services and data elements. The data lineage may indicate a plurality of interrelationships between the plurality of services and data elements. Based on the data lineage, a visualization of the first computing system may be generated. Based on the one or more interrelationships between a first data element and the plurality of services and data elements, one or more services and data elements affected by the change to the first data element may be identified. Based on the one or more services and data elements affected by the change to the first data element, the visualization of the first computing system to indicate the impact to the first computing system.