海量計算的學習歷程分析與雲端資料庫管理系統Sqlmr appliance一體機開發計畫書 20140101Jackie Liu
硬體形式的一體機(Appliance)
End-to-End Big Data Solution in a Box
因應巨量資料處理需求,使用者大致上有幾個不同部署型態選擇,除了採用套裝軟體再自行搭配硬體,或是採購軟硬體整合的一體機,使用雲端服務算是最新的一種。不過,從臺灣的角度來看,雲端服務模式與軟體導向解決方案,都不是企業最偏愛的選擇,相較之下,以硬體形式推出的一體機(Appliance)是最受青睞的一種。由於一體機的發展,已經轉向MPP架構,因此,使用者可以漸進式導入,後續再視巨量資料發展需求彈性調整,除了可以橫向擴充提升系統效能之外,也可以針對非結構資料處理,另外搭配Hadoop專屬平臺來處理。目前各個資料廠商已經逐步向Hadoop靠攏,並且從分庭抗禮轉為相互依賴的發展格局,Hadoop一體機因此相繼問世,對使用者來說,將可降低部署Hadoop叢集的門檻。
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
海量計算的學習歷程分析與雲端資料庫管理系統Sqlmr appliance一體機開發計畫書 20140101Jackie Liu
硬體形式的一體機(Appliance)
End-to-End Big Data Solution in a Box
因應巨量資料處理需求,使用者大致上有幾個不同部署型態選擇,除了採用套裝軟體再自行搭配硬體,或是採購軟硬體整合的一體機,使用雲端服務算是最新的一種。不過,從臺灣的角度來看,雲端服務模式與軟體導向解決方案,都不是企業最偏愛的選擇,相較之下,以硬體形式推出的一體機(Appliance)是最受青睞的一種。由於一體機的發展,已經轉向MPP架構,因此,使用者可以漸進式導入,後續再視巨量資料發展需求彈性調整,除了可以橫向擴充提升系統效能之外,也可以針對非結構資料處理,另外搭配Hadoop專屬平臺來處理。目前各個資料廠商已經逐步向Hadoop靠攏,並且從分庭抗禮轉為相互依賴的發展格局,Hadoop一體機因此相繼問世,對使用者來說,將可降低部署Hadoop叢集的門檻。
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
The Cloud Computing China Congress (CCCC http://www.cloudcomputingchina.org ) is specially designed for senior IT and line of business executives evaluating and making purchasing decisions in the areas of on-demand infrastructure and software services.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
The Cloud Computing China Congress (CCCC http://www.cloudcomputingchina.org ) is specially designed for senior IT and line of business executives evaluating and making purchasing decisions in the areas of on-demand infrastructure and software services.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
27. 企业互联网数据中心概览 计算和网络通讯架构 虚拟化的计算,网络以及存储 面向使用者的数据中心服务 业务过程以及各种服务 通过互联网享受企业所提供产品和服务的企业和个人用户 互联网络和服务提供者 互联网接入 互联网服务提供商 企业内部 企业工作流程和控制 Firewall 企业产品和服务 企业服务的使用者 Firewall 内容制作和提供 供电、通风制冷、安全、消防等 数据中心基础设施 现场和客户服务人员 数据中心运营管理 SOI SOA SOI SOA SOI SOA SOI SOA MOTE RFID Sensors SOA SOI 认证计费 物流服务
49. 数据中心的成熟度模型 Conclusion : By 2009 , up to 55% of fortune 500 could be purchasing based on needs of a Standardized Environment By 2012 , many of these companies could be completing a transition to a Rationalized environment. Rules of Thumb: Each transition takes a minimum of 3 years. Not practical to skip steps Discussion 1: Target 2009 strategy and ecosystem support for optimized fit for “Standardized” Usage Model Characteristics to hit up to 55% of 2009 Data Center Needs Discussion 2: Target 2012 strategy and ecosystem support for optimized fit for “Rationalized” Usage Model Characteristics to hit up to 55% of 2012 Data Center Needs Transition Example 1: Companies currently in “Centralized” State, moving to “Rationalized” State React Manage Reduce Complexity Economies of Scale Flexibility, Reduce Costs Service-Level Delivery Business Agility Basic Uncoordinated infrastructure Centralized Infrastructure centralized Standardized Standard resources, configurations Rationalized Consolidate to fewer Virtualized Infrastructure resources pooled Service-based Services managed holistically Percentage (+/-) of Fortune 500 companies at each stage: 1 5% 55% 30% 10% <1% Start State -Centralized- Phase 1 - Standardized- 2006 2009 2012 Phase 2 - Rationalized- Policy- Based Dynamic Optimization to meet SLA Source: Gartner Research (November 2004) T. Bittman, ID Number: G00123095 1 Approximate Percentage (+/-)