Recently, the Shudian Virtualization Data Engine X-Engine successfully completed all aspects of the special test organized by the China Academy of Information and Communications Technology for the integrated data platform’s basic capabilities.
Introduction to the Technical Requirements and Testing of the Integrated Big Data Platform
The “Technical Requirements for Integrated Big Data Platforms” was organized and compiled by the Big Data Technology Standard Promotion Committee of the China Communications Standards Association, TC601 WG1 Big Data Technology and Product Working Group. This standard includes nine capability domains: unified data integration, unified computing, unified storage, unified resource management, unified platform management, unified analysis, system operation and maintenance, high availability and disaster recovery, and other data processing capabilities. This standard can serve as a reference for the R&D, testing, and selection of integrated data platforms.
Shudian Virtualization Data Engine X-Engine
X-Engine is an integrated data intelligence foundation aimed at enterprise large model applications, providing enterprises with real-time, efficient, and intelligent data computation, storage, and asset governance, with computing and storage performance exceeding similar products by ten times. Its real-time computing engine is fully compatible with the open-source ecosystem and can be deployed independently as an enterprise-level event platform. X-Engine has passed compatibility certification with domestic operating systems and CPUs, fully supports mainstream domestic databases, and is deeply adapted to the Xinchuang environment, providing safe, reliable, and real-time efficient data support for enterprise decision-makers, data analysis teams, and frontline business personnel.
The core capabilities of X-Engine include:
• Comprehensive Virtualization: Achieving unified modeling and semantic management through full-link virtualization, replacing traditional layered data warehouse construction, decoupling data models from physical implementations.
• Intelligent Materialization: Supporting intelligent recommendations, roll-up aggregation, and merge governance, significantly improving query performance and effectively reducing storage costs.
• Federated Query: Breaking down data silos, unifying the management of multi-source heterogeneous data, achieving seamless integration and efficient querying across data sources.
• Data Lineage: Unifying asset lineage, automatically identifying available data, and maintaining data assets.
• Integrated Streaming and Batch Processing: Unified scheduling and computing architecture that allows real-time insights and historical analysis to automatically collaborate, achieving seamless integration.
• Efficient Computing and Storage: Self-developed high-performance computing storage engine and innovative read-write algorithms, achieving efficient data computation and querying.
• One-stop Management: An integrated platform for computing, storage, and virtualization modeling, achieving one-stop data asset management, monitoring, and operation and maintenance.
• Secure and Controllable: Core links are fully self-developed and certified by Xinchuang, ensuring system autonomy and data security.
X-Engine has been implemented in several leading joint-stock banks and funds, such as Ping An Bank, SPD Bank, and Tianhong Fund, significantly improving data computation and access efficiency in scenarios like anti-fraud and indicator querying, while reducing data management costs through advanced integrated streaming and intelligent materialization technologies. X-Engine provides data services for multiple key business scenarios such as risk control, compliance checks, sales, and operations for Tianhong Fund, assisting in making more precise decisions in channel management, product development, and investment research. Additionally, Shudian recently won the bid for the Shanghai Futures Exchange’s “Real-time Computing Platform Authorization and Maintenance Service Procurement Project,” which will also provide the X-Engine solution.
In the era of large models, the data foundation is not only a technical choice for enterprises to cope with massive real-time data processing but also a strategic path for implementing digital transformation and solidifying core competitiveness. In the future, Shudian will continue to assist various industries in reshaping the underlying logic of digital transformation, building a solid data foundation, and continuously strengthening the deep integration of business, data, and technology to achieve high-quality development.
Contact:
Tian Jiafeng
18795986568 (WeChat same number)
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About Us
The Big Data Technology Standard Promotion Committee of the China Communications Standards Association (CCSA TC601, abbreviated: Shubiao Committee/BDC) aims to unite all links of the industry chain, identify and solve major issues facing the development of big data, and conduct research on common foundational standards for big data technology, data asset management, data sharing and circulation, data security, etc. Through standard promotion work as a link, it promotes the deep integration of big data with the real economy. We welcome you to join us!
Membership Inquiry:Teacher Bai 13520285502
