Centralized Network Data Lake for Multi-Vendor Node Observability
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Solution Overview
Problem
Managing the lifecycle of wireless cellular networks is challenging due to the large scale of deployment, multiple phases involved, and the lack of a unified platform for observability across multiple original equipment manufacturers (OEMs, leading to fragmented information distribution.
Innovation Solution
A centralized network master database lake is implemented to integrate planning, workorder, and network operations support systems, categorizing data into site and map-related categories, and leveraging reporting and business intelligence tools for a 360-degree view, enabling data collection and analysis from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is distributed across multiple OEM platforms, then each platform can maintain its own data structure and independence, but information consolidation and unified observability are lost
Solution Approach 1:
The patent merges data from multiple OEM platforms into a single centralized database lake, combining the strengths of distributed data collection with the benefits of unified information access. This allows the system to maintain adaptability to multiple vendors while eliminating information fragmentation through centralized consolidation.
Solution Approach 2:
The centralized database lake serves as a universal platform that can handle data from various OEMs and multiple network technologies simultaneously. It provides a multi-functional solution that maintains vendor-specific data structures while enabling unified observability across the entire network infrastructure.
2Loss of information
If a centralized database is implemented, then unified observability and information consolidation are achieved, but system complexity and integration challenges increase
Solution Approach 1:
The patent segments the centralized database into multiple thematic data lakes (network performance, security, maintenance, etc.), allowing complex data to be organized into manageable segments. This reduces integration complexity by providing structured approaches for different types of data while maintaining unified observability.
Solution Approach 2:
The centralized database lake acts as an intermediary layer between distributed OEM platforms and network operations systems. It mediates the complexity of data integration by providing standardized interfaces and unified data access, thereby reducing the overall system integration complexity.
3Loss of information
If comprehensive data collection from all sources is performed, then complete network observability is achieved, but data processing time and computational resources increase
Solution Approach 1:
The patent segments comprehensive data into specific thematic categories (network performance, security, maintenance, etc.), allowing the system to collect complete data while processing specific segments as needed. This reduces overall processing time by enabling targeted queries on relevant data segments rather than processing the entire dataset.
Solution Approach 2:
The system implements partial action by collecting comprehensive data but processing only the necessary portions based on specific observability needs. This allows complete data availability while optimizing processing time by avoiding unnecessary computation on all collected data.
Data Source
AI summary
The present invention discloses a method for providing a centralized network master database lake (128). The method receives and stores input data, identifies a plurality of attributes associated with the input data, processes the input data to categorize the input data into a plurality of predefined data categories based on the plurality of attributes, and processes the categorized input data to determine if a record associated with the categorized input data exist in the centralized network master database lake (128). The method (1200) updates the record with the categorized input data when it is determined that the record exists, creating a new record to store the categorized input data into the centralized network master database lake (128) when it is determined that the record does not exist and processing the record to dynamically display the categorized input data.