Addressing storage issues in different storage scenarios and data formats
Provide efficient, intelligent, and reliable data management solutions
Quick retrieval and invocation of business, enabling data to unleash greater value
Product Advantages
Product Overview
SandStone iDataCook is an intelligent cloud native data processing product launched by SandStone Data. The SandStone iDataCook engine adopts an open and pluggable design, and the system can install and uninstall intelligent data processing plugins at any time. The data processing capabilities can be freely scaled according to the capabilities of the plugins, including but not limited to: image processing, image recognition, speech recognition, full-text retrieval, document extraction, machine learning and other major intelligent applications. After the service capability is configured as needed, the engine automatically ensures the persistent serviceability of the service, and the service capability, like data, can automatically balance and recover from failures.
Product Features
The combination of intelligent data processing and storage, intelligent perception of data types, and unified processing of image transcoding, image size changes, data compression, etc. on the storage end make business applications simpler, accelerate big data analysis, assist in efficient value mining of data, and enable data to quickly realize its value, thereby enhancing overall revenue.
The intelligent data processing process flows directly within the storage cluster, shortening the IO path, simplifying the data transmission link, avoiding multiple data flows and processing in external business networks, and achieving better data processing efficiency.
The intelligent data processing platform can be integrated and deployed with SandStone storage products to enhance the utilization value of servers, fully leverage hardware performance, and reduce overall business costs.
The intelligent data processing platform can be integrated and deployed with SandStone storage products to enhance the utilization value of servers, fully leverage hardware performance, and reduce overall business costs.
Typical application scenarios
The storage and management of production line inspection data
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