"Data-centric" next-generation intelligent data infrastructure
Traditional enterprise IT architecture mainly develops various business software systems around business processes. Infrastructure such as computing and storage networks serve business software systems, and data is generated and managed by business software systems. ; Under this architecture, data is just an accessory to the business process. It exists isolated and fragmented in various business systems and cannot maximize its value. There is also a large amount of data that has never been saved and utilized.
The new generation of enterprise IT architecture led by the hybrid multi-cloud data platform is data-centric, summarizing and absorbing the industry's engineering experience and latest technological achievements in the fields of distributed storage, cloud storage, data management and other fields from 2011 to 2020. , which consists of a northbound lake-warehouse integrated data platform and a southbound cross-hybrid multi-cloud next-generation software-defined storage platform to form a hybrid multi-cloud data platform.
Next-generation software-defined storage
A new generation of distributed storage engine
Self-developed all-terrain multi-modal distributed storage engine adopts minimalist IO stack and full user mode architecture to achieve extremely high software and hardware resources and network utilization, cross-cloud horizontal scalability, computing power sinking and emerging media oriented Optimized, performance and throughput are increased exponentially.
Across hybrid multicloud and edge
The storage platform can span data centers, multiple public clouds and edges to achieve fully transparent management and scheduling of data, business awareness and data flow from a business perspective. It is a hybrid multi-cloud storage from a business and data perspective.
cloud native
Adapt to the characteristics and requirements of comprehensive cloud IT infrastructure, fully containerized deployment and microservice management, realize minimalist deployment across hybrid multi-cloud and edge, self-healing of faults and intelligent operation and maintenance, and perfect adaptation and support for cloud native applications .
Composable architecture
From the perspective of data, we combine and integrate storage resources in distributed cloud environments (private clouds, multiple public clouds, and edges), providing different IO models, different performance and reliability requirements, and many protocol interfaces (SCSI, S3, POSIX, NFS , CIFS, CSI, HDFS, etc.) free combination and flexible deployment.
A data platform integrating lakes and warehouses
Unified Metadata Service
Provides complete unified metadata management capabilities, which can manage and schedule the data IO flow of the storage engine layer and various data-related elements of the upper layer, realizing the central brain and intelligence of data IO, data management and data services.
Cloud native data management capabilities
Cooperating with the underlying cloud-native distributed storage platform, it provides rich data management capabilities across data centers, multiple public clouds and edges. Data integration and data management become simple and easy, completely solving data silos and data management and Challenges in leveraging the value of data.
Composite data services
Rich data services, including unified data catalog, data full life cycle management, cross-edge-core-cloud data intelligent flow, permission management and control, data view, data API, data full-text retrieval, knowledge graph, semantic retrieval, data sharing service framework, etc.
Rich data computing ecosystem
The separation of data and computing is achieved at the enterprise IT architecture level. Various data computing engines (interactive analysis, real-time analysis, batch processing, AI) can be connected to the data platform on demand. Various emerging data applications can be easily based on the data platform. The development and release can easily realize the elastic deployment of business across hybrid multi-cloud and edge; connect the data lake and data warehouse to form a unified data platform integrating lake and warehouse, and achieve seamless support from BI to AI applications.
Customer benefits
Only one copy of data is stored within the enterprise, with intelligent management and cost optimization.
A data platform that can be scaled horizontally and continuously is sufficient to store all enterprise data and provide rich protocol interfaces and data service capabilities.
Easily build, deploy and operate various application systems based on the "hybrid multi-cloud + edge" infrastructure environment
Data “originates on the cloud, grows on the cloud, and is applied on the cloud”
The composable architecture allows enterprises to build their next-generation data infrastructure in a more agile way. They can start from a small scale, closely integrate the construction process with the business, and expand on demand.
Enterprise IT shifts from focusing on infrastructure to focusing on business and data, and shifts from operation and maintenance to providing data services
Build the next generation of intelligent data infrastructure to gain new impetus for business growth.
