Meteorological Big Data Cloud Platform Solution

A cloud platform that aggregates heterogeneous meteorological data and supports deep data services.

Flexible Deployment Models

Support deployment from hyper-converged appliances to multi-data-center distributed clusters, dynamically adjusted by business need and scale

Millisecond-Level Access Performance

Fuse and deeply mine multi-source heterogeneous meteorological data, enabling millisecond-level query of massive data

Fully Compatible with CIMISS

Fully compatible upward with existing business interfaces and downward with CIMISS system interfaces, providing data services via standard APIs

Solution Architecture

2.1气象大数据云平台.jpg

Meteorological big data management system:Standardize full-process management of meteorological big data resources; rapidly aggregate, exchange, quality-control, and ingest meteorological and related data; store meteorological big data online in real-time and historical integration, with complete backup and archive mechanisms, providing standard, convenient, rich data-service interfaces.

Infrastructure resource pool:Including virtualized resources, distributed physical resources, and data-storage resources; through virtualization, distributed, and other technologies, form pooled virtualization pools, distributed physical pools, and data-storage pools, providing intensive, efficient, on-demand, elastically scalable compute and storage for smart meteorology and big data crowdsourcing services.

Big data service crowdsourcing support system:Build a service crowdsourcing platform integrating data-resource aggregation, data-product presentation, multi-source data mining and analysis, and data operations services, constructing aggregation, cleaning, mining/analysis, and service processes for multi-source data, especially irregular external data.

Solution Value

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