Core Insights - The financial industry is undergoing a profound paradigm shift driven by real-time trading, intelligent risk control, and personalized services, which are now essential capabilities rather than mere concepts [1] - The "2025 Smart Finance Core Database Transformation Practice Seminar" held in Suzhou gathered industry experts to explore the latest trends and pathways for core system transformation [1] - There is a consensus in the industry that the separation of storage and computing has evolved from a technical option to a strategic cornerstone, defining the pace and pattern of financial innovation for the next decade [1] Group 1: Challenges of Traditional Systems - The traditional tightly-coupled architecture in the financial industry has reached its limits, necessitating a break from the "storage-computing integration" to fully unleash data potential [2] - Key issues with the existing architecture include performance bottlenecks, lack of agility, and operational complexity, which threaten business continuity [3] Group 2: Advantages of Storage-Computing Separation - Storage-computing separation is not merely a technical fix but a systemic upgrade that enhances data flow and system responsiveness [4] - This architecture provides four core values: extreme reliability, flexible elastic scaling, simplified operational management, and an open ecosystem that supports various database types [4][5] Group 3: Evolution of Databases - The new generation of databases, when combined with storage-computing separation, can significantly enhance performance, as demonstrated by a rural commercial bank that increased its transaction capacity from 1 million to 15 million daily transactions [6] - Modern databases support mixed workloads and are evolving towards advanced distributed architectures, showcasing substantial improvements in transaction processing capabilities [6] Group 4: Future of Financial Technology - The financial industry is witnessing a structural migration from traditional systems to intelligent frameworks, marking a transition from "accounting" to "intelligence" [8] - As of the end of 2024, distributed database instances in Chinese banks have increased from 3.9% in 2018 to 23.8%, with some banks reaching 100%, indicating a shift towards a new phase centered on intelligent infrastructure [8] - The ongoing digital transformation in finance is not just about cloud systems and intelligent applications but also about reconstructing the foundational architecture for the next decade [8][9]

Core Insights - Suzhou Rural Commercial Bank, established in 2004, has evolved into a key player in local financial services, focusing on rural finance and innovation through technology [1][3] - The bank is undergoing a digital transformation to overcome challenges posed by traditional banking structures and increasing competition from larger banks and internet financial services [3][5] Group 1: Digital Transformation Challenges - The bank's traditional systems are becoming bottlenecks, hindering business growth and innovation due to outdated infrastructure [3][5] - There is a pressing need for a more flexible and efficient core banking system to meet the demands of online marketing and digital risk control [3][5] Group 2: Technological Collaboration - Suzhou Rural Commercial Bank has partnered with Huawei to implement a "separation of storage and computing" architecture, utilizing GaussDB and OceanStor Dorado to enhance system performance and security [5][6] - This new architecture allows for centralized management of storage resources, significantly improving system elasticity and reducing total cost of ownership (TCO) [5][6] Group 3: Performance Improvements - The implementation of the new system has led to a transformation in the bank's IT infrastructure, enabling faster loan approvals and seamless transaction processing [6][7] - The bank can now offer real-time, accurate financial services, enhancing customer experience and operational efficiency [7] Group 4: Strategic Positioning - The collaboration with Huawei positions Suzhou Rural Commercial Bank as a national benchmark for financial transformation, showcasing how smaller banks can leverage technology for growth [6][7] - The bank's focus on innovation and digitalization is expected to drive its future success and strengthen its competitive edge in the financial sector [6][7]

华为智慧油气 解决方案 | • 勘探开发算力中心 02 | | --- | | • 油气勘探数据存储 05 | | • 智慧作业区 09 | | --- | | • 油气田一张网 21 | | • 华为星河 AI 高品质油气总部园区网络 25 | | • 数智化管网 30 | | --- | | • 管道一张网 36 | | • 智慧管网光通信 40 | 智慧勘探开发 / 智慧油气田 / 智慧管网 智慧勘探开发 01 华为智慧油气解决方案 勘探开发算力中心 背景与挑战 目前业界主流的勘探开发地学专业软件的计算硬件资源适配具有生态门槛，间接影响计算底座多元化发展与资 源共享。存算网资源未统一规划，资源云化进度慢、成本高。 无法跨集群完成大工区深度域地震数据处理、两宽一高海量数据和多工区大连片地震数据等作业任务，影响业 务推进效率。 多部门采购同类软件，单独部署，无法共享，软件利用率低，成本高。 解决方案简介 勘探开发算力中心解决方案基于华为云实现对算力资源的灵活调度，以及专业软件和数据的统一管理，支撑各 部门之间数据成果协同与共享，提升业务效率。 处理 解释 储层预测 地质建模 数值模拟 安全保障体系 运维保障 ...