AISWare DataInfrastructure

Core Competence

Low Cost

Heterogeneous storage support HDFS provides multi-type storage methods such as HDFS, Hive, Hbase, etc. HDFS uses erasure code technology to save the number of data backups and greatly saves storage space.
High Efficiency

Heterogeneous computing in fusion A variety of real-time processing, batch processing and unified batch and streaming technologies, and the extension of edge computing to achieve cloud edge collaboration, greatly improve the computing
Large Scale

Heterogeneous multi-cluster Realize the unified resource scheduling of cross-domain, multi-cluster and edge cloud collaboration, greatly expand the number of cluster nodes, and realize large-scale cluster management.
Transparency

Standard interfaces of services The hardware resource such as computing and storage, and software toolkit are provided to customers in the form of standard services, which can be easily provisioned and used out of the box based on the demand.
Development

Embedded development toolkit The scenarios based real-time processing tools, interactive data searching tools and graph analysis tools are embedded in the platform to provide customers with convenient development of query
Intelligence

Intelligent operation and maintenance The deep insight and intelligent planning of resources, performance and security ensure the rational deployment and continuous optimization of big data cluster, so as to achieve the purpose of making full use of resources.

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