Background challenge
Build a big data technology platform of the factory from 0 to 1 privatization to process the power data of production and operation to ensure that the company's production capacity electric control management needs are met.
From iot data acquisition, real-time/offline warehouse construction, data aggregation analysis, to data indicator display/business anomaly detection of factory big data analysis platform construction.
Scheme characteristics
Local deployment to build data analytics platforms, the impact of the company's geographic remoteness.
The combination of UCloudStack and USDP was used to build a localized cloud platform + big data analysis platform model.
Out-of-the-box all-in-one delivery model that simplifies the supply chain while achieving faster uptime and better performance and scalability guarantees.
Embrace Hadoop open source technology ecology to achieve flexible control of data analysis architecture and technology.
Scheme value
Output private cloud and big data integration solutions to solve difficult customer management problems.
The flexible deployment of UCloudStack solves the problem of network delay in sensitive customer business scenarios.
The USDP big data platform can solve the problem that customers can quickly build a data analysis center without a dedicated operation and maintenance team, enabling rapid business iteration.
Solve practical problems of business processes (high frequency access of 100,000 level devices and data analysis in IOT scenarios).
The underlying solution for subsequent output of the customer's electrical cloud platform does not require major changes.
