Cloud Data Collection Accounts for Unmanaged Warehouse Discovery
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Solution Overview
Problem
Cloud-based data warehousing systems face challenges in sharing and managing data across different cloud platforms and regions due to limitations in native sharing protocols, leading to inefficiencies, security issues, and increased computational costs.
Innovation Solution
An on-demand data collection account system is created to facilitate data sharing and replication between accounts hosted on different cloud platforms and regions, using computing devices to manage and store shared data, generate recommendations, and configure operating parameters for warehouse resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is shared across different cloud platforms and regions using native protocols, then data accessibility is improved, but security issues and computational costs increase
Solution Approach 1:
The patent implements a mediator system that acts as an intermediary between different cloud platforms and regions. This mediator manages data sharing requests, enforces security policies, and coordinates cross-platform data access, thereby maintaining security while enabling accessibility. The mediator translates and reconciles different native protocols, preventing direct exposure of data sources to multiple platforms.
Solution Approach 2:
The patent segments data sharing into controlled portions through virtual data warehouses and selective data exposure. Instead of sharing entire datasets across all platforms, the system divides data access into discrete, manageable segments that can be independently controlled and monitored, reducing overall security risk while maintaining necessary accessibility.
2Productivity
If virtual data warehouses are created and destroyed on demand, then resource allocation efficiency is improved, but unmanaged resources and cost control become problematic
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor the lifecycle of virtual data warehouses. The system tracks creation, usage patterns, and destruction events, providing real-time information about resource states. This feedback enables automatic resource management, ensuring that unmanaged resources are identified and controlled, preventing cost overruns while maintaining on-demand allocation efficiency.
3Speed
If multiple virtual data warehouses are configured with varying computing resources, then query performance is improved, but resource management complexity increases
Solution Approach 1:
The patent creates a universal resource management system that handles multiple virtual data warehouses with different configurations through a single interface. This multi-functional system can allocate, monitor, and manage diverse resource types (computing, storage, networking) across all virtual warehouses uniformly, reducing management complexity while preserving the performance benefits of varied resource allocation.
4Loss of time
If data is replicated across different cloud regions, then data availability and access speed are improved, but storage costs and system complexity increase
Solution Approach 1:
The patent applies local quality by replicating only the specific data portions that are frequently accessed in each cloud region, rather than replicating entire datasets. Each region receives customized data subsets tailored to its specific access patterns and requirements, reducing overall storage costs while maintaining fast local access speeds for critical data.
Data Source
AI summary
Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.