Financial Industry Big Data Solution

Fuses financial and cross-domain data and applies AI to financial big-data scenarios.

Efficient Support for Rich Data Sources

Support 50+ data sources, with 200 MB/s throughput per node, achieving 3× the work efficiency of the original method

Fine-Grained O&M Management

Effectively lower overall system construction TCO by more than 30% while raising system reliability by more than 50%

Efficient Data Analytics Engine

A next-generation high-performance, high-speed interactive data analytics engine more than 10× faster than traditional data processing

Solution Architecture

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Sugon XData big data platform uses a fused technical architecture that deeply realizes storage, compute, scheduling, multi-source data, and business-process fusion, building a systematically fused overall system. A built-in distributed deep-learning engine enables intelligent data mining; a built-in machine-learning algorithm library enables professional algorithm optimization; full-dimension task-runtime monitoring is supported, with automatic data tiering; a visual engine presents a panoramic view for intelligent data insight; an in-memory computing engine enables efficient analytics; task decomposition and parallel execution deeply optimize complex queries; shared-nothing data storage delivers linear performance scale-out; streaming computing is processed as one to meet real-time online analysis; SQL-like interface services are ready to use with no threshold; structured and unstructured heterogeneous data are managed in a unified way; integrated graphical O&M is supported.

Solution Value

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轩辕数据湖运营管理平台
Xuanyuan Intelligent Big Data Platform is Sugon’s self-developed data-as-a-service platform. Built on successful government, public-security, and transportation projects, it is a one-stop governance and operations platform covering ingest, organization, governance, catalog, lineage, services, and operations across the data lifecycle. It delivers a complete data middle platform, industry knowledge-base intelligence, and data-lake / big-data storage and compute engines, helping government and enterprises build end-to-end intelligent data systems, break silos, unify standards, and complete digital transformation.
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