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Cloud Broadband Data Analytics Platform

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This platform delivers unified analytics and decision‑support capabilities for applications such as green internet access and PCDN traffic management, through integrated processes of data storage, aggregation, governance, operations, application, and presentation.

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Core Features
Key Advantages
Application Scenarios
Service Case

Core Features

The platform processes traffic logs reported by cloud gateways, performing ingestion, aggregation, computation, and cleansing operations. Data is stored in three structured tiers: raw data, standardized data, and application‑ready data. It enables flexible generation of application‑specific datasets for upper‑layer systems and provides northbound interfaces for statistical data reporting.

Key Advantages

Data Aggregation, Visualization, and Storage Optimization: Stores structured and semi‑structured data—including raw logs, normalized datasets, and application‑ready data—in relational or document databases.
Utilizes a data aggregation engine to summarize and downsample raw traffic logs, optimizing the balance between storage efficiency and historical analysis needs.
Features a powerful visualization engine that dynamically generates clear, intuitive traffic summaries, trend analyses, and customizable reports, delivering both high‑level and granular operational insights.

Application Scenarios

· Cloud broadband service quality monitoring
· PCDN traffic governance and optimization
· Campus cloud broadband performance analysis

Service Case

China Telecom Shanghai