歡迎來到演算法、軟體和硬體三位一體的未來世界論文書籍站
enterprise architect的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理
enterprise architect的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Chelliah, Pethuru R.,Sai Sampath, K. V. L.,Das, Manojit寫的 Cloud-Native Computing: Technologies and Tools Towards Enterprise-Scale Microservices-Centric Applications 和Tandon, Akash,Ryza, Sandy,Laserson, Uri的 Advanced Analytics with Pyspark: Patterns for Learning from Data at Scale Using Python and Spark都 可以從中找到所需的評價。
另外網站What is Enterprise Architecture (EA)? - SearchCIO - TechTarget也說明：An enterprise architecture (EA) is a conceptual blueprint that defines the structure and operation of organizations. The intent of enterprise architecture ...
這兩本書分別來自 和所出版 。
國防大學理工學院 機械工程碩士班 張枝成所指導 沈岳懋的 國防架構規範2.0之研究與應用 （2020），提出enterprise architect關鍵因素是什麼，來自於結構分析、架構規範、資料模型。
而第二篇論文國立中興大學 全球事務研究跨洲碩士學位學程 Rosa Maria Morales Valera所指導 柯育茹的 為新興的蒙特雷航空集群制定潛在升級戰略 （2020），提出因為有 航空工業、集群、全球價值鏈、工業4.0、創新、升級的重點而找出了 enterprise architect的解答。
最後網站Integrated Enterprise Architecture (EA) Models - CATIA則補充：Enterprise Architecture - No Magic, one of the most respected providers of standards-compliant modeling, simulation and analysis solutions in the industry, ...
除了enterprise architect，大家也想知道這些：
Cloud-Native Computing: Technologies and Tools Towards Enterprise-Scale Microservices-Centric Applications
為了解決enterprise architect 的問題，作者Chelliah, Pethuru R.,Sai Sampath, K. V. L.,Das, Manojit 這樣論述：
Pethuru Raj, PhD, is Chief Architect and Vice-President for the Site Reliability Engineering Division of Reliance Jio Platforms in Bangalore. He has over twenty years’ experience in the IT industry. K.V. Sampath is Enterprise Architect with the Cloud Center of Excellence at IBM India. He has 21 yea
rs’ experience with cloud computing, security intelligence, and service management. Manojit Das is Senior Cloud Solution Architect with the Hybrid Cloud Center of Excellence at IBM. He is an IBM Certified Expert IT Architect with extensive experience in digital transformation. Sourav Tripathy is Dir
ector of Software Engineering for Cloud Software Platform and Applications at GE Renewable Energy Digital Services Business at the John F. Welch Technology Center in Bangalore, India. Skylab Reddy is Senior Software Engineer in the GTS Labs of IBM India Pvt Ltd. in Bangalore.
國防架構規範2.0之研究與應用
為了解決enterprise architect 的問題，作者沈岳懋 這樣論述：
目錄誌謝----------------------------------------------i摘要---------------------------------------------iiAbstract----------------------------------------iii目錄----------------------------------------------v表目錄-----------------------------------------viii圖目錄-------------------------------------------ix1.緒
論--------------------------------------------11.1前言-------------------------------------------11.2研究背景---------------------------------------21.3研究動機與目的----------------------------------32.文獻回顧----------------------------------------42.1架構規範---------------------------------------42.2美國國防架構規範(DoDAF)-
------------------------62.2.1DoDAF演進------------------------------------72.2.2DoDAF觀點及模型-------------------------------92.2.3新舊版之差異分析------------------------------142.2.4資料模型(Data Model)-------------------------212.3史特靈引擎擷取系統發展概況-----------------------273.研究流程與方法-----------------------------------3
13.1研究流程概述------------------------------------313.2結構化分析法------------------------------------333.2.1功能分解之樹狀結構-----------------------------353.2.2 IDEF0模型-----------------------------------363.3 Enterprise Architect架構設計軟體---------------384.DoDAF 2.0版架構設計之流程------------------------444.1第一階段：發展作戰(運作)概念
---------------------474.2第二階段：建立能力分解與組織結構------------------474.3第三階段：建立功能架構與初步實體架構--------------484.4第四階段：完成作戰觀點及建立系統與服務活活動模式---504.5第五階段：完成系統及服務觀點---------------------525.案例實作-----------------------------------------565.1建立作戰(運作)概念(OV-1)-------------------------565.2建立能力分解與組織關係圖(OV-4)-------------
-------605.3建立功能架構與初步實體架構------------------------645.4完成作戰觀點-------------------------------------776.結論與未來展望------------------------------------836.1結論--------------------------------------------836.2未來展望-----------------------------------------84參考文獻--------------------------------------------85附錄A
綜合觀點(AV)之模型及其內容描述------------------88附錄B 能力觀點(CV)之模型及其內容描述------------------89附錄C 資料及訊息觀點(DIV)之模型及其內容描述------------90附錄D 作戰(運作)觀點(OV)之模型及其內容描述-------------91附錄E 專案觀點(PV)之模型及其內容描述-------------------92附錄F 服務觀點(SvcV)之模型及其內容描述-----------------93附錄G 標準觀點(StdV)之模型及其內容描述-----------------95附錄H 系統觀點(SV)之模型及
其內容描述-------------------96論文發表---------------------------------------------98自傳-------------------------------------------------99
Advanced Analytics with Pyspark: Patterns for Learning from Data at Scale Using Python and Spark
為了解決enterprise architect 的問題，作者Tandon, Akash,Ryza, Sandy,Laserson, Uri 這樣論述：
Akash Tandon is an independent consultant and experienced full-stack data engineer. Previously, he was a senior data engineer at Atlan, where he built software for enterprise data science teams. In another life, he had worked on data science projects for governments, and built risk assessment tools
at a FinTech startup. As a student, he wrote open source software with the R project for statistical computing and Google. In his free time, he researches things for no good reason.Sandy Ryza is software engineer at Elementl. Previously, he developed algorithms for public transit at Remix and was a
senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project.Uri Laserson is founder & CTO of Patch Biosciences. Previously, he worked on big data and genomics at Cloudera.Sean Owen is a principal sol
utions architect focusing on machine learning and data science at Databricks. He is an Apache Spark committer and PMC member, and co-author Advanced Analytics with Spark. Previously, he was director of Data Science at Cloudera and an engineer at Google.Josh Wills is an independent data science and e
ngineering consultant, the former head of data engineering at Slack and data science at Cloudera, and wrote a tweet about data scientists once.
為新興的蒙特雷航空集群制定潛在升級戰略
為了解決enterprise architect 的問題，作者柯育茹 這樣論述：
A cluster is a geographic concentration of interconnected companies and institutions in a particular field that compete but also cooperate. Thereby, they create a unique environment of trust and cooperation which allow extensive knowledge transfer. However, by being in-serted in a strongly governed
, quasi-hierarchical global value chain, such as the aerospace industry, functional upgrading and innovation of small-to-medium-sized enterprises (SMEs) is mostly hindered. This restricts the upgrading trajectory of the cluster. Especially, as emerging countries no longer solely want to be the facto
ries of Western multinational firms but upgrade into more value-added activities, a new strategy is needed. Industry 4.0, the fourth industrial revolution, heralds the ability to transform global value chain governance patterns and business models through the unprecedented fusion among digital, phys
ical and biological entities. In this way, SMEs’ upgrading can be facilitated despite their insertion in a global value chain. To foster its usage within the Monterrey Aerocluster, this paper re-searches the factors which increase the reluctance to implement Industry 4.0 the most. The aim of this qu
antitative study is to derive managerial implications for the cluster organisa-tion. As a result, the cluster’s upgrading efforts should be strengthened by focusing on ac-cess to funding, the potential cost, finding adequate partners, and the low maturity of the emerging technologies.