Managing database technology at enterprise scale

P. Yaron
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Abstract

Paul Yaron is responsible for Non-Mainframe, Relational Database Architecture, Engineering and Strategy for JPMC globally. JP Morgan is a leading financial services firm with assets over $2 trillion, operates 40 major datacenters around the globe, servicing over 60 countries with over 250,000 employees. It partners with 170 regulators and manages 230 Petabytes of data, JPMC depends on over 23,000 database instances to service multiple business units. With a deployment of such scope, JPMC leverages solutions from most major database, security and operating system vendors. This talk will discuss the challenges and strategies of managing the evolving ecosystem of "all data", from information security, to internal virtualization strategies. Engineering reliable globally scalable and compliant data management solutions demands a model for proactively measuring the risk complexity of an ecosystem for expert focus and potential proactive remediation. The research for quantitative measurement of database (or other) ecosystem entropy appears sparse. JPMC is looking to share its ideas in this space with the academic community as the need for such quantitative measures are increasingly important as ecosystems move from islands of single tenant risk into multi-tenant risk clusters.
管理企业规模的数据库技术
Paul Yaron负责JPMC全球的非大型机、关系数据库体系结构、工程和战略。摩根大通是一家领先的金融服务公司,资产超过2万亿美元,在全球运营40个主要数据中心,为60多个国家提供服务,拥有超过25万名员工。JPMC与170家监管机构合作,管理230 pb的数据,依靠超过23,000个数据库实例为多个业务部门提供服务。有了这样一个范围的部署,JPMC利用了来自大多数主要数据库、安全和操作系统供应商的解决方案。本次演讲将讨论管理不断发展的“全数据”生态系统的挑战和策略,从信息安全到内部虚拟化策略。设计可靠的全球可扩展和兼容的数据管理解决方案需要一个模型来主动测量生态系统的风险复杂性,以便专家关注和潜在的主动补救。对数据库(或其他)生态系统熵的定量测量研究显得十分稀少。随着生态系统从单租户风险岛屿转向多租户风险集群,对此类定量措施的需求越来越重要,JPMC希望与学术界分享其在这一领域的想法。
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