The document discusses using Model Driven Architecture (MDA) to reengineer legacy software systems in a more automated way compared to traditional reengineering approaches. MDA provides platform independent and specific models that can be used to generate code for different platforms, formalizing the mapping of services between source and target platforms. Several papers are referenced that propose techniques for static and dynamic analysis of code to generate UML models as part of the reengineering process using MDA.
Business process reengineering is the fundamental rethinking and radical redesign of business processes to achieve dramatic improvements in critical areas like cost, quality, service, and speed. It focuses on redesigning processes, not functions, departments, or tasks. Reengineering is necessary during times of high competition and demand when organizations need to be more efficient and flexible. It allows companies to eliminate unnecessary work and become more customer-focused. Examples of successful reengineering include reducing order delivery times by 40% and doubling profits by eliminating $200 million in inventory. Reengineering has also helped Indian organizations improve processes like customer ordering, manufacturing, and marketing to better meet customer needs.
The document discusses how personalization and dynamic content are becoming increasingly important on websites. It notes that 52% of marketers see content personalization as critical and 75% of consumers like it when brands personalize their content. However, personalization can create issues for search engine optimization as dynamic URLs and content are more difficult for search engines to index than static pages. The document provides tips for SEOs to help address these personalization and SEO challenges, such as using static URLs when possible and submitting accurate sitemaps.
The document discusses using Model Driven Architecture (MDA) to reengineer legacy software systems in a more automated way compared to traditional reengineering approaches. MDA provides platform independent and specific models that can be used to generate code for different platforms, formalizing the mapping of services between source and target platforms. Several papers are referenced that propose techniques for static and dynamic analysis of code to generate UML models as part of the reengineering process using MDA.
Business process reengineering is the fundamental rethinking and radical redesign of business processes to achieve dramatic improvements in critical areas like cost, quality, service, and speed. It focuses on redesigning processes, not functions, departments, or tasks. Reengineering is necessary during times of high competition and demand when organizations need to be more efficient and flexible. It allows companies to eliminate unnecessary work and become more customer-focused. Examples of successful reengineering include reducing order delivery times by 40% and doubling profits by eliminating $200 million in inventory. Reengineering has also helped Indian organizations improve processes like customer ordering, manufacturing, and marketing to better meet customer needs.
The document discusses how personalization and dynamic content are becoming increasingly important on websites. It notes that 52% of marketers see content personalization as critical and 75% of consumers like it when brands personalize their content. However, personalization can create issues for search engine optimization as dynamic URLs and content are more difficult for search engines to index than static pages. The document provides tips for SEOs to help address these personalization and SEO challenges, such as using static URLs when possible and submitting accurate sitemaps.
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.
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
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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。