on cloud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

Programming Google Cloud: Building Cloud Native Applications with Gcp

為了解決on cloud的問題，作者Costa, Rui 這樣論述：

Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There’s a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how

to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your a

pplication. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time mes

saging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow

Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs

on cloud進入發燒排行的影片

自動化安全檢核方法之研究

為了解決on cloud的問題，作者郭民瑜 這樣論述：

隨著科技的進步，金融業所提供的服務也越來越廣泛，系統的架構也從傳統的大型主機漸漸走向開放式的系統，虛擬化技術也漸漸的應用在金融服務業上，而系統越開放資訊安全也就更加的重要。所提供的服務越多也代表背後需要有更多的主機來支撐這些服務，面對越來越多的主機系統，如何有效的管理這些主機的安全設定也就成為課題之一。因此，使用自動化管理提升效率並且降低人為錯誤便成為系統管理的一種趨勢。本論文之研究使用Ansible管理工具建立自動化檢核架構，利用編寫好的Playbook針對目標主機進行系統安全的檢核，並將檢核結果輸出成報表。由於Ansible管理工具無須安裝代理程式的特性，可節省大量佈署代理程式的時間，大

幅降低人力成本。另外Ansible自動化檢核的速度也比傳統人工檢核所花費的時間快上不少，也節省時間成本。

MCA Data Analyst Study Guide: Exam Da-100

為了解決on cloud的問題，作者Hyman, Jack A.,Shapiro, Jeffrey R. 這樣論述：

Achieve success as a Microsoft Certified Power BI Data Analyst with this hands-on and practical new guide Data analysts familiar with the Microsoft Azure Cloud platform and Power BI are in heavy demand in the tech industry. And in the MCA Power BI Data Analyst Study Guide: Exam PL-300, readers wi

ll find everything they need to prepare for success on the Microsoft Certified Associate: Data Analyst exam, their next job interview in this area, or their first day in the field for their new career as a Microsoft Certified Power BI Data Analyst. This Study Guide gets you up to speed on data prepa

ration, modeling, visualization, analysis, and solution and deliverable deployment. It’s also a fantastic reference for early-career data analysis and data science professionals seeking to level-up their skills. With this guide you can: Gain the knowledge you need to succeed on an industry-leading c

ertification Jump into a new career in the rapidly growing world of data analytics Access the Sybex online learning resources and test bank, with chapter review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms Perfect for people new to data analyti

cs and the Microsoft Azure Cloud and Power BI platforms, as well as industry professionals who aim to improve their skills and upgrade their careers, the MCA Power BI Data Analyst Study Guide: Exam PL-300 is an indispensable handbook for success as a Microsoft Certified Data Analyst.

公有雲端企業資料庫即時同步備援到企業自有機房之研究

為了解決on cloud的問題，作者周建竹 這樣論述：

由於在近十年來網路通訊技術的快速發展，雲端服務在手機時代已經被各企業和個人所採用，在此平台上，提供的服務，可以使租用戶能快速建構符合他們本身所需要的資料系統，另外在以前雲端服務及網路通訊技術尚未普及的年代，資訊系統備援是有地區距離的限制，而現在，在地端和雲端聯結更緊密的時代，在雲端各應用系統的後端的關聯式資料庫儲存重要的交易資料，其中備援設計更是極為重要。在本論文中研究的目的將以雲端的關聯式資料庫層級即時備援到地端，從可用性、即時性、保密安全性、持久性保存和搬遷性等做探討，本研究所採用的方式為在雲端租用和設定環境和地端架設環境，建構本研究之研究模型，進行雲端到地端在關聯式資料庫層級的備援探討

分析，並使用雲端運算業者Azure的計量統計圖表做資料蒐集及資料分析，呈現雲端硬碟讀寫累積使用量和網路頻寬累積使用量的數據並進行分析和探討，企業將可依照自己業務特性，做出符合最佳化的雲端資料庫備援到地端資料庫方式的決策。