智存助力金融數(shù)據(jù)價值最大化

1、Intelligent Storage Maximizes Data Value以“智存”助力金融數(shù)據(jù)價值最大化What Can We Do?我們能做什么?0.4 secondsLeading Retail Finance 3.0引領零售金融3 . 0 模式Digital, Intelligent User Services用戶服務全面數(shù)字化智能化業(yè)務特點基礎架構特點Cloud Computing Reconstructs IT Infrastructures云計算重構IT 基礎設施Big Data Reconstructs Customer Engagement大數(shù)據(jù)重構用戶經營FinTec

2、h Strategy“ 金融科技銀行”戰(zhàn)略Business Agility Driven by Technology forOptimal User Experience以科技敏捷帶動業(yè)務敏捷，創(chuàng)造最佳用戶體驗BusinessInfrastructureSwitching to App Operation Mode向A p p 經營模式轉型打造金融科技銀行關鍵業(yè)務數(shù)據(jù)存儲高要求Building a FinTech Bank with High Data Storage Demands 99.999%Service-driven storage resources存儲資源服務化Maximizin

3、g Data Value to BetterUnderstand Customers支撐數(shù)據(jù)價值最大化，做更“ 懂” 客戶的銀行 SiloedIT 孤島架構Cloud-based共享IT 架構ReconstructVMsOLAPOLTPBig Data & AIEfficient data services高效數(shù)據(jù)服務Reliable data services可靠數(shù)據(jù)服務Centralized data數(shù)據(jù)大集中Rapid resource acquisition資源快獲取10s or 100s of PBcapacityMonths - Hours 10 ms latency承載數(shù)據(jù)價值最

4、大化招行的存儲基礎架構探索CMB Storage InfrastructureExploration201220132014201520162017Centralized Architecture傳統(tǒng)集中式架構Fully Distributed Architecture分布式云化 | 分布式高擴展 | 分布式高可用App Implementation落地應用Hosting Business-Critical Databasesand Big Data & AI Apps支撐關鍵業(yè)務數(shù)據(jù)庫、大數(shù)據(jù)& A I 應用Multiple vendors 多廠商Types of hardware 多硬件D

5、edicated 專有設備Silo-like 豎井式Solution Test測試選型Internal mgmt. OLAP Cloud resource poolsOperation OLTPTech Plan技術規(guī)劃Big data & AIDistributed network分布式網(wǎng)絡Cloud Storage PoolHosting Business-Critical DatabasesCloud Apps, Big Data & AI承載關鍵業(yè)務數(shù)據(jù)庫、云應用、大數(shù)據(jù)& A IJoint Exploration, Extending Cloud Data Storage Scena

6、rios 更廣泛的云數(shù)據(jù)存儲適用場景VMDatabaseBig DataAIDistributed storage分布式存儲Distributed computing分布式計算5 PB capacity200 nodes40%Lower TCOT C O 降低10 xFaster resourceprovisioning資源發(fā)放效率0.4sAI analysis人工智能分析Channel access &consolidation渠道接入& 整合Decision-making決策管理Intelligent risk control智能風控Please Enjoy the Video請欣賞視頻A “0.4-Second” Story Based on Distributed Architecture分布式架構承載的招行智能風控CMB Data ProcessingConcepts未來招行數(shù)據(jù)處理技術思考Data Store, Mining, and Management數(shù)據(jù)儲存、挖掘與管理Data Store數(shù)據(jù)儲存Data Mining數(shù)據(jù)挖掘Data Management數(shù)據(jù)管理Building distributed cloud storagecapabilities持續(xù)構筑分布式云存儲能力Expanding cooperat