Azure 架構

適用於 Azure 上常見工作負載的架構圖表、參考架構、範例案例和解決方案。

AI + 機器學習 | 分析 | 區塊鏈 | 計算 | 容器 | 資料庫 | DevOps | 開發人員工具 | 混合式 | 身分識別 | 整合 | 物聯網 | 管理和控管 | 媒體 | 移轉 | 混合實境 | 行動 | 網路 | 安全性 | 儲存體 | Web

AI + 機器學習服務

  • 透過 Azure Stack 讓 AI 位於邊緣 - 中斷連線AI at the Edge with Azure Stack - disconnected

    使用包含 Azure Stack 的方案架構,將 AI 模型移至邊緣。Move AI models to the edge with a solution architecture that includes Azure Stack. 從網際網路中斷連線時,逐步工作流程可協助您掌控邊線 AI 的威力。A step-by-step workflow will help you harness the power of edge AI when disconnected from the internet.

  • 稽核、風險和合規性管理Auditing, risk, and compliance management

    開發人員可以使用知識挖掘,協助律師從探索文件中快速找出重要實體,並為文件中的重要想法加上旗標Developers could use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents

  • 在 Azure 上建置即時建議 APIBuild a Real-time Recommendation API on Azure

    透過 Azure Databricks 和 Azure 資料科學虛擬機器 (DSVM) 使用機器學習來自動化建議,進而定型 Azure 上的模型。Use machine learning to automate recommendations using Azure Databricks and Azure Data Science Virtual Machines (DSVM) to train a model on Azure.

  • 商務程序管理Business Process Management

    在投標競爭相當激烈的產業中,或是當問題的診斷必須快速或近乎即時的時候,公司可以使用知識挖掘來避免代價高昂的錯誤In industries where bidding competition is fierce, or when the diagnosis of a problem must be quick or in near real-time, companies can use knowledge mining to avoid costly mistakes

  • 商務聊天機器人Commerce Chatbot

    Azure Bot Service 和 Language Understanding 服務可一同讓開發人員針對各種案例 (例如銀行、旅遊和娛樂) 建立對話式介面。Together, the Azure Bot Service and Language Understanding service enable developers to create conversational interfaces for various scenarios like banking, travel, and entertainment. 例如,飯店的服務台可以使用聊天機器人透過 Azure Active Directory 來驗證客戶,藉此強化傳統電子郵件和來電互動,並使用認知服務透過文字和語音更有效地處理客戶要求內容。For example, a hotel's concierge can use a bot to enhance traditional e-mail and phone call interactions by validating a customer via Azure Active Directory and using Cognitive Services to better contextually process customer requests using text and voice. 您可以新增語音辨識服務來支援語音命令。The Speech recognition service can be added to support voice commands.

  • 商務聊天機器人Commerce Chatbot

    Azure Bot Service 和 Language Understanding 服務可一同讓開發人員針對各種案例 (例如銀行、旅遊和娛樂) 建立對話式介面。Together, the Azure Bot Service and Language Understanding service enable developers to create conversational interfaces for various scenarios like banking, travel, and entertainment. 例如,飯店的服務台可以使用聊天機器人透過 Azure Active Directory 來驗證客戶,藉此強化傳統電子郵件和來電互動,並使用認知服務透過文字和語音更有效地處理客戶要求內容。For example, a hotel's concierge can use a bot to enhance traditional e-mail and phone call interactions by validating a customer via Azure Active Directory and using Cognitive Services to better contextually process customer requests using text and voice. 您可以新增語音辨識服務來支援語音命令。The Speech recognition service can be added to support voice commands.

  • 內容研究Content Research

    使用搜尋索引的知識挖掘可讓客戶和員工輕鬆快速地找出所需的資訊。Knowledge mining with a search index makes it easy for customers and employees to locate what they are looking for faster.

  • 合約管理Contract Management

    知識挖掘可協助組織翻找數千頁的來源,以建立精確的出價。Knowledge mining can help organizations to scour thousands of pages of sources to create an accurate bid.

  • 客戶流失預測Customer Churn Prediction

    客戶流失預測會使用 Cortana Intelligence Suite 元件來預測流失的可能性,並協助在現有資料中尋找與預測流失率相關聯的模式。Customer Churn Prediction uses Cortana Intelligence Suite components to predict churn probability and helps find patterns in existing data associated with the predicted churn rate.

  • 客戶意見反應與分析Customer Feedback and Analytics

    知識挖掘可協助客戶支援小組快速找出適合客戶查詢的正確答案,或大規模評估客戶的情緒。Knowledge mining can help customer support teams quickly find the right answer for a customer inquiry or assess customer sentiment at scale.

  • 數位資產管理Digital Asset Management

    透過搜尋索引進行知識挖掘,可讓終端客戶和員工輕鬆快速地找出所需的資訊。Knowledge mining through a search index makes it easy for end customers and employees to locate what they are looking for faster.

  • 能源供應最佳化Energy Supply Optimization

    此解決方案提供以 Azure 為基礎的智慧型解決方案,利用外部開放原始碼工具,從能源網的各種能源資源類型決定最佳能源單位承諾。This solution provides an Azure-based smart solution, leveraging external open-source tools, that determines the optimal energy unit commitments from various types of energy resources for an energy grid.

  • 企業生產力聊天機器人Enterprise Productivity Chatbot

    Azure Bot Service 可輕鬆地與 Language Understanding 結合,以建置功能強大的企業生產力機器人,讓組織能夠藉由在 Dynamics CRM 中整合外部系統 (例如 Office 365 行事曆、客戶案例) 來簡化一般工作活動等。Azure Bot Service can be easily combined with Language Understanding to build powerful enterprise productivity bots, allowing organizations to streamline common work activities by integrating external systems, such as Office 365 calendar, customer cases stored in Dynamics CRM and much more.

  • 企業聊天機器人災害復原Enterprise chatbot disaster recovery

    了解如何在企業級的交談式聊天機器人中,設定 Azure 服務的災害復原和高可用性。Learn how to set up disaster recovery and high availability for Azure services in an enterprise-grade conversational bot.

  • 常見問題集聊天機器人與資料專家模型FAQ Chatbot with data champion model

    QnA Maker 工具讓內容擁有者可非常輕鬆地維護其 QnA 知識庫。The QnA Maker tool makes it super easy for the content owners to maintain their knowledge base of QnAs. 結合 Bot 服務和 LUIS,您可以輕鬆地設定常見問題聊天機器人,以根據查詢意圖依不同知識庫內容進行回應。Combined with Bot Service and LUIS, it's easy to setup an FAQ chatbot which responds from differnet knowledge bases depending on the intent of the query.

  • 預測能源及電力需求Forecast Energy and Power Demand

    了解 Microsoft Azure 如何協助精確預測能源產品和服務需求的尖峰,讓公司具備競爭優勢。Learn how Microsoft Azure can help accurately forecast spikes in demand for energy products and services to give your company a competitive advantage.

  • 互動語音回應系統聊天機器人Interactive Voice Response Bot

    此解決方案會建立智慧型互動式語音回應 (IVR) 應用程式,以處理自行車和自行車配件的客戶訂單要求。This solution creates an intelligent interactive voice response (IVR) application that processes customer order requests for bicycles and bicycle accessories. 目前沒有 IVR 解決方案的企業可以輕鬆地開始將要求自動化;也可在既有的人工作業系統中擴充此解決方案,以納入現有的功能和工作流程。Businesses with no existing IVR solution can easily get started automating requests, or, where existing human-operated systems exist, this solution can be extended to incorporate existing functionality and workflows.

  • 關鍵字搜尋/語音轉文字/OCR 數位媒體Keyword search/speech-to-text/OCR digital media

    語音轉換文字解決方案可讓您識別靜態影片檔案中的語音並當成標準內容來管理;例如允許員工在訓練影片中搜尋說出口的話或片語,然後讓他們快速瀏覽至這些內容在特定影片中出現的時間。A speech-to-text solution allows you to identify speech in static video files so you can manage it as standard content, such as allowing employees to search within training videos for spoken words or phrases, and then enabling them to quickly navigate to the specific moment in the video.

  • Azure 上的電影推薦Movie recommendations on Azure

    透過機器學習和 Azure 資料科學虛擬機器 (DSVM) 使用機器學習來自動推薦電影、產品和其他建議,以在 Azure 上訓練模型。Use machine learning to automate movie, product, and other recommendations using machine learning and an Azure Data Science Virtual Machine (DSVM) to train a model on Azure.

  • 個人化的供應項目Personalized Offers

    在現今高度競爭和彼此影響的環境中,現代化企業無法只靠著使用一般的靜態線上內容存活。In today's highly competitive and connected environment, modern businesses can no longer survive with generic, static online content. 此外,使用傳統工具的行銷策略通常昂貴且難以實行,而且無法產生所需的投資報酬率。Furthermore, marketing strategies using traditional tools are often expensive, hard to implement, and do not produce the desired return on investment. 這些系統通常無法充分利用所收集的資料,為使用者建立更個人化的體驗。These systems often fail to take full advantage of the data collected to create a more personalized experience for the user.

  • 個人化行銷解決方案Personalized marketing solutions

    透過個人化的供應項目,尋找行銷產品的基本技術。Find essential technology to market your products with personalized offers. 使用巨量資料見解進行個人化行銷,以獲得更多的客戶回應。Individualize your marketing for greater customer response using big-data insights.

  • 醫療保健的人口健康管理Population Health Management for Healthcare

    人口健康狀態管理這項重要的工具逐漸受到醫療保健供應商廣泛運用,以管理和控制不斷上升的成本。Population Health Management is an important tool that is increasingly being used by health care providers to manage and control the escalating costs. 人口健康狀態管理的關鍵在於使用資料來改善健康情況結果。The crux of Population Health Management is to use data to improve health outcomes. 追蹤、監視和設定基準是人口健康狀態管理的三項要素,其目標在於改善臨床和健康成果,同時管理和降低成本。Tracking, monitoring, and bench marking are the three bastions of Population Health Management, aimed at improving clinical and health outcomes while managing and reducing cost.

  • 預測住院天數及病患流動Predict Length of Stay and Patient Flow

    了解如何為醫院或醫療保健設施預測病房數和患者流動數,以加強護理品質並改善營運效率。Learn how to predict capacity and patient flow for your hospital or healthcare facility to enhance the quality of care and improve operational efficiency.

  • 預測性維護Predictive Maintenance

    此預測性維護解決方案可監視飛機,並預測飛機引擎元件的剩餘使用年限。This Predictive Maintenance solution monitors aircraft and predicts the remaining useful life of aircraft engine components.

  • 利用機器學習進行預測性行銷Predictive Marketing with Machine Learning

    了解如何在 Azure HDInsight Spark 叢集上使用 Microsoft R Server 建置機器學習模型,並建議可採取的動作,大量提高購買率。Learn how to build a machine-learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate.

  • 品質保證Quality Assurance

    品質保證系統可讓企業防止在將貨物或服務交付給客戶的整個過程中發生瑕疵。Quality assurance systems allow businesses to prevent defects throughout their processes of delivering goods or services to customers. 建置這類系統來收集資料並識別管線中的潛在問題,可以提供巨大的優勢。Building such a system that collects data and identifies potential problems along a pipeline can provide enormous advantages. 例如,在數位製造中,必須保證跨生產線的品質。For example, in digital manufacturing, quality assurance across the assembly line is imperative. 比起事先偵測,在事件發生之前找出速度變慢的原因和可能的失敗情況,可以協助公司降低廢料和返工成本,同時提升生產力。Identifying slowdowns and potential failures before they occur rather than after they are detected can help companies reduce costs for scrap and rework while improving productivity.

  • Python 模型的即時評分Real-time scoring of Python models

    此參考架構會示範如何在 Azure 上將 Python 模型部署為 Web 服務,以進行即時預測。This reference architecture shows how to deploy Python models as web services on Azure to make real-time predictions.

  • 遠端患者監視解決方案Remote Patient Monitoring Solutions

    透過 Azure 的遠端患者監視,提供高階預防性醫療護理。Provide a high level of preventative medical care with remote patient monitoring from Azure. 在安全的環境中分析大量的醫療資料。Analyze large amounts of medical data in a secure environment.

  • 具有視覺功能的零售助理Retail Assistant with Visual Capabilities

    零售助理或假期規劃工具可協助客戶與商務聊天機器人互動,並根據視覺資訊提供建議。The retail assistant or vacation planner can help your customers have interactions with your business bot and provide suggestions based on the visual information.

  • 語音服務Speech Services

    自訂聲場模型可協助語音服務了解說話者的內容,即使有背景雜音或電話連線訊號不佳也不成問題。A custom acoustic model helps Speech Services understand speakers even with background noise or poor phone connections.

  • 語音轉文字轉換Speech-to-text conversion

    本文說明上傳音訊檔案並且處理語音內容轉文字的建議方式。This article describes the recommended way to upload audio files and process the speech content to text.

  • 在 Azure 上訓練 Python 模型Training Python models on Azure

    此參考架構會顯示微調 scikit-learn Python 模型超參數 (訓練參數) 的建議做法。This reference architecture shows recommended practices for tuning the hyperparameters (training parameters) of a scikit-learn Python model.

  • 圖像助理Visual Assistant

    視覺效果小幫手可根據影像內容提供豐富的資訊,功能包括讀取名片、識別條碼,以及辨識名人、地點、標的物、藝術品和歷史遺跡。Visual assistant provides rich information based on content of the image with capabilities such as reading business card, identifying barcode, and recognizing popular people, places, objects, artworks, and monuments.

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分析

  • 進階分析架構Advanced Analytics Architecture

    取得近即時的串流服務資料分析。Get near real-time data analytics on streaming services. 此巨量資料架構可讓您透過自訂機器學習結合任何規模的資料。This big data architecture allows you to combine any data at any scale with custom machine learning.

  • 即時資料流中的異常偵測Anomaly Detection in Real-time Data Streams

    Cortana 智慧型 IT 異常洞察解決方案可協助大型組織內的 IT 部門,根據 IT 基礎結構的基礎健康情況計量以快速偵測及修正問題。Cortana Intelligence IT Anomaly Insights solution helps IT departments within large organizations quickly detect and fix issues based on underlying health metrics from IT infrastructure.

  • 異常偵測器流程Anomaly Detector Process

    透過逐步流程圖深入了解異常偵測器的詳細流程。Learn more about Anomaly Detector with a step-by-step flowchart that details the process. 了解如何使用時間序列資料來選取異常偵測模型。See how anomaly detection models are selected with time-series data.

  • 使用事件格線整合應用程式Application integration using Event Grid

    Event Grid 可連線您的應用程式與其他服務。Event Grid connects your app with other services. 例如,建立應用程式主題,將應用程式的事件資料傳送至 Event Grid,並利用其可靠的傳遞、進階路由以及與 Azure 的直接整合。For example, create an application topic to send your app's event data to Event Grid and take advantage of its reliable delivery, advanced routing, and direct integration with Azure. 或者,您可以使用 Event Grid 搭配 Logic Apps 隨處處理資料,而不需撰寫程式碼。Alternatively, you can use Event Grid with Logic Apps to process data anywhere, without writing code.

  • 自動化企業 BIAutomated enterprise BI

    使用 Azure Data Factory 與 Azure Synapse Analytics 來自動化 Azure 中的擷取、載入和轉換 (ELT) 工作流程。Automate an extract, load, and transform (ELT) workflow in Azure using Azure Data Factory with Azure Synapse Analytics.

  • Customer 360Customer 360

    深入了解客戶興趣和購買模式是任何零售商業智慧營運的關鍵要素。A deep understanding between customer interests and purchasing patterns is a critical component of any retail business intelligence operation. 此解決方案會實作將客戶資料匯總成「360 度」設定檔的流程,並使用由 Azure 的可靠性和處理能力所支援的進階機器學習模型,為模擬的客戶提供預測性見解。This solution implements a process of aggregating customer data into a "360-degree" profile, and uses advanced machine learning models backed by the reliability and processing power of Azure to provide predictive insights on simulated customers.

  • 需求預測Demand Forecasting

    準確預測產品和服務需求的尖峰,可為公司提供競爭優勢。Accurately forecasting spikes in demand for products and services can give a company a competitive advantage. 此解決方案著重於能源部門內的需求預測。This solution focuses on demand forecasting within the energy sector.

  • 需求預測 + 價格最佳化Demand Forecasting + Price Optimization

    使用 Microsoft Azure 的巨量資料和進階分析服務預測未來的客戶需求,並將定價最佳化,充分實現高獲利的期望。Predict future customer demand and optimize pricing to maximize profitability using big-data and advanced-analytics services from Microsoft Azure.

  • 需求預測和價格最佳化Demand Forecasting and Price Optimization

    在許多產業中,價格是成功與否的決定性關鍵因素,而且可能是最具挑戰性的工作之一。Pricing is recognized as a pivotal determinant of success in many industries and can be one of the most challenging tasks. 公司通常會擔心價格流程的數個層面,包括準確預測潛在策略對財務造成的影響、合理考慮核心業務限制,以及公平地驗證已執行的價格決策。Companies often struggle with several aspects of the pricing process, including accurately forecasting the financial impact of potential tactics, taking reasonable consideration of core business constraints, and fairly validating the executed pricing decisions. 擴充產品供應項目意味著更進一步增加了計算需求,以進行即時定價決策,同時也增加了這項工作的困難度。Expanding product offerings add further computational requirements to make real-time pricing decisions, compounding the difficulty of this already overwhelming task.

  • 互動式價格分析Interactive Price Analytics

    價格分析解決方案會使用您的交易歷程記錄資料,說明產品的需求如何受到您所提供的價格影響,並建議變更價格,讓您模擬價格變更如何更細微地影響您的需求。The Pricing Analytics solution uses your transactional history data to show you how the demand for your products responds to the prices you offer, to recommend pricing changes, and allow you to simulate how changes in price would affect your demand, at a fine granularity.

  • 大量擷取和分析 Azure 上的新聞摘要Mass ingestion and analysis of news feeds on Azure

    建立一個僅使用 Azure 服務 (包括 Azure Cosmos DB 和 Azure 認知服務) 從 RSS 新聞摘要擷取和分析文字、影像、人氣和其他資料的管道。Create a pipeline for ingesting and analyzing text, images, sentiment, and other data from RSS news feeds using only Azure services, including Azure Cosmos DB and Azure Cognitive Services.

  • 石油與天然氣油槽液位預測Oil and Gas Tank Level Forecasting

    現今,大部分的設備只會在油槽液位發生問題時消極地反應。Today, most facilities operate reactively to problems in tank levels. 這通常會導致原油外溢、緊急關機、昂貴的補救成本、法規問題、代價高昂的維修和巨額罰款等後果。This often leads to spills, emergency shutdowns, expensive remediation costs, regulatory issues, costly repairs and fines. 油槽液位預測有助於管理和消除這些和其他可能發生的問題。Tank level forecasting helps manage and abate these and other problems.

  • 預測住院時間Predicting Length of Stay in Hospitals

    此解決方案會針對醫院許可的住院時間啟用預測性模型。This solution enables a predictive model for Length of Stay for in-hospital admissions. 「可停留的天數 (LOS)」會定義為從一開始的入院日期,到從任何指定的醫院設施出院的日期起算的天數。Length of Stay (LOS) is defined in number of days from the initial admit date to the date that the patient is discharged from any given hospital facility.

  • 預測性飛機引擎監視Predictive Aircraft Engine Monitoring

    Microsoft Azure 的預測性維護解決方案示範如何結合即時飛機資料與分析來監視飛安情況。Microsoft Azure's Predictive Maintenance solution demonstrates how to combine real-time aircraft data with analytics to monitor aircraft health.

  • 巨量資料架構上的即時分析Real Time Analytics on Big Data Architecture

    從資料串流即時取得深度學習分析和見解。Get deep learning analytics and insights live from streaming data. 近即時檢閱網站點選流記錄以進行進階分析處理。Review logs from website clickstream in near real-time for advanced analytics processing.

  • 將應用程式與資料分層以進行分析Tier Applications & Data for Analytics

    使用包含 Azure Stack 的方案架構,將應用程式和資料分層處理。Tier applications and data with a solution architecture that includes Azure Stack. 透過逐步流程圖和詳細指示,將資料分析最佳化。Optimize data analytics with a step-by-step flowchart and detailed instructions.

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區塊鏈

  • 區塊鏈工作流程應用程式Blockchain Workflow Application

    探索如何使用區塊鏈將工作流程數位化,並使用 Microsoft Azure 的區塊鏈工作流程應用程式,在組織之間提供鏈結。Explore how blockchain is used to digitize workflows and supply chains across organizations with the Blockchain Workflow Application from Microsoft Azure.

  • 銀行間的分散式信任Decentralized trust between banks

    建立適用於通訊和資訊共用的受信任環境,不需要重新排序至集中式資料庫。Establish a trusted environment for communication and information sharing without resorting to a centralized database.

  • 供應鏈追蹤Supply Chain Track and Trace

    了解如何使用 Azure Blockchain Workbench。Learn how to use the Azure Blockchain Workbench. 使用逐步流程圖,建置供應鏈的資產追蹤應用程式。Build an asset tracking application for supply chain with a step-by-step flowchart.

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計算

  • 3D 影片轉譯3D video rendering

    使用 Azure Batch 服務在 Azure 中執行原生 HPC 工作負載。Run native HPC workloads in Azure using the Azure Batch service.

  • 在雲端中部署的 HPC 叢集HPC cluster deployed in the cloud

    高效能運算 (HPC) 應用程式可擴展成上千個計算核心,以擴充內部部署大量計算或以 100% 雲端原生解決方案的方式執行。High performance computing (HPC) applications can scale to thousands of compute cores, extend on-premises big compute, or run as a 100% cloud native solution. 此 HPC 解決方案包括前端節點、計算節點和儲存體節點並在 Azure 中執行,不需要維護硬體基礎結構。This HPC solution including the head node, compute nodes, and storage nodes, runs in Azure with no hardware infrastructure to maintain.

  • Azure 中的混合式 HPC (具備 HPC Pack)Hybrid HPC in Azure with HPC Pack

    取得以 Windows Server 技術為基礎所建置的混合式高效能運算解決方案。Get a hybrid high performance computing solution built with Windows Server technology. 使用 Azure HPC Pack 建立混合式 HPC 環境。Use Azure HPC Pack to create a hybrid HPC environment.

  • 執行 CFD 模擬Running CFD simulations

    在 Azure 上執行計算流體力學 (CFD) 模擬。Execute computational fluid dynamics (CFD) simulations on Azure.

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容器

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資料庫

  • Azure 資料平台端對端Azure data platform end-to-end

    使用 Azure 服務來擷取、處理、儲存、提供服務和視覺化不同來源的資料。Use Azure services to ingest, process, store, serve, and visualize data from different sources.

  • 使用 Azure HDInsight Spark 叢集讓行銷活動最佳化Campaign Optimization with Azure HDInsight Spark Clusters

    此解決方案示範如何使用 Azure HDInsight Spark 叢集上的 Microsoft R 伺服器來建置及部署機器學習模型,並建議可採取的動作,大量提高行銷活動目標潛在客戶的購買率。This solution demonstrates how to build and deploy a machine learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate of leads targeted by a campaign. 此解決方案可讓您使用 Microsoft R 伺服器效率地處理 Spark 上的巨量資料。This solution enables efficient handling of big data on Spark with Microsoft R Server.

  • 利用 SQL Server 最佳化行銷活動Campaign Optimization with SQL Server

    此解決方案示範如何使用 SQL Server 2016 搭配 R 服務來建置及部署機器學習模型,並建議可採取的動作,大量提高行銷活動目標潛在客戶的購買率。This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to recommend actions to maximize the purchase rate of leads targeted by a campaign.

  • 資料快取Data cache

    資料快取, 使用 azure cache for redis 的資料快取, azure 資料庫, cosmos dbdata cache, data cache with azure cache for redis, azure database, cosmos db

  • 數位行銷活動管理Digital Campaign Management

    利用豐富的個人化數位行銷體驗,與世界各地的客戶互動。Engage with customers around the world with rich, personalized digital marketing experiences. 快速建置並啟動可根據客戶需求自動調整的數位行銷活動。Quickly build and launch digital campaigns that automatically scale based on customer demand.

  • 使用適用於 MySQL 的 Azure 資料庫進行數位行銷Digital Marketing using Azure Database for MySQL

    利用豐富的個人化數位行銷體驗,與世界各地的客戶互動。Engage with customers around the world with rich, personalized digital marketing experiences. 快速建置並啟動可根據客戶需求自動調整的數位行銷活動。Quickly build and launch digital campaigns that automatically scale based on customer demand.

  • 使用 Cosmos DB 的遊戲Gaming using Cosmos DB

    彈性調整您的資料庫以容納無法預期的流量高載,並提供全球規模的低延遲多玩家體驗。Elastically scale your database to accommodate unpredictable bursts of traffic and deliver low-latency multi-player experiences on a global scale.

  • 使用適用於 MySQL 的 Azure 資料庫之智慧型應用程式Intelligent apps using Azure Database for MySQL

    使用最先進的機器學習服務演算法,以及整合式視覺效果工具來取得可採取行動的深入解析和分析,開發精密且創新的應用程式。Develop sophisticated, transformational apps using state of the art machine learning algorithms and integrated visualization tools to get actionable insights and analytics.

  • 使用適用於 PostgreSQL 的 Azure 資料庫之智慧型應用程式Intelligent apps using Azure Database for PostgreSQL

    使用最先進的機器學習服務演算法,以及整合式視覺效果工具來取得可採取行動的深入解析和分析,開發精密且創新的應用程式。Develop sophisticated, transformational apps using state of the art machine learning algorithms and integrated visualization tools to get actionable insights and analytics.

  • 使用 Azure HDInsight Spark 叢集預測貸款註銷率Loan ChargeOff Prediction with Azure HDInsight Spark Clusters

    使用 Azure HDInsight R 伺服器,貸款機構可以利用機器學習預測性分析來預測貸款遭到註銷的機率,並針對儲存在 HDFS 和登錄區資料表中的分析結果執行報告。Using Azure HDInsight R Server, a lending institution can leverage machine learning predictive analytics to predict the likelihood of loans getting charged off and run a report on the analytics result stored in HDFS and hive tables.

  • 使用 SQL Server 進行貸款壞帳預測Loan ChargeOff Prediction with SQL Server

    此解決方案示範如何使用 SQL Server 2016 搭配 R 服務來建置及部署機器學習模型,以預測在接下來的 3 個月內是否會出現需要註銷的銀行貸款This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to predict if a Bank loan will need to be charged off within next 3 months

  • 貸款信用風險 + 拖欠模型Loan Credit Risk + Default Modeling

    透過使用 SQL Server 2016 搭配 R 服務,貸方可以預測借方的信用風險和未履行債務的可能性,協助將無利可圖的貸款降至最低。Using SQL Server 2016 with R Services, lenders can predict a borrower's credit risk and default probability to help issue fewer unprofitable loans.

  • 使用 SQL Server 降低貸款信用風險Loan Credit Risk with SQL Server

    使用 SQL Server 2016 搭配 R 服務,貸款機構可以利用預測性分析,將提供給這些借方的貸款數降到最低,以提高其貸款組合的獲利。Using SQL Server 2016 with R Services, a lending institution can make use of predictive analytics to reduce number of loans they offer to those borrowers most likely to default, increasing the profitability of their loan portfolio.

  • Messaging (傳訊)Messaging

    azure redis cache, web 通訊端,web 通訊架構, 訊息發佈和訂閱, azure cache for redisazure redis cache, web sockets, web communication frameworks, messaging publish and subscribe, azure cache for redis

  • 新式資料倉儲架構Modern Data Warehouse Architecture

    探索使用巨量資料的雲端資料倉儲。Explore a cloud data warehouse that uses big data. 新式資料倉儲會將您的所有資料整合在一起,並在資料增長時輕鬆地調整規模。Modern data warehouse brings together all your data and scales easily as your data grows.

  • 使用事件格線自動執行作業Ops automation using Event Grid

    Event Grid 可讓您加快自動化速度並簡化原則強制執行。Event Grid allows you to speed automation and simplify policy enforcement. 例如,Event Grid 可以在虛擬機器建立或 SQL Database 啟動時通知 Azure 自動化。For example, Event Grid can notify Azure Automation when a virtual machine is created, or a SQL Database is spun up. 這些事件可用於自動檢查服務組態是否符合規範、將中繼資料放入作業工具、標記虛擬機器,或將工作項目歸檔。These events can be used to automatically check that service configurations are compliant, put metadata into operations tools, tag virtual machines, or file work items.

  • 將 Oracle 資料庫移轉至 AzureOracle Database Migration to Azure

    您可以透過多種方式來移轉 Oracle DB。Oracle DB migrations can be accomplished in multiple ways. 此架構涵蓋了 Oracle Active Data Guard 用來遷移資料庫的其中一個選項。This architecture covers one of these options wherein Oracle Active Data Guard is used to migrate the Database.

  • 使用 Cosmos DB 的個人化Personalization using Cosmos DB

    為客戶即時產生個人化建議,使用低延遲和可調式的一致性設定來取得立即見解Generate personalized recommendations for customers in real time, using low-latency and tunable consistency settings for immediate insights

  • 使用 Azure MySQL 的零售和電子商務Retail and e-commerce using Azure MySQL

    建置安全且可調整的電子商務解決方案,以滿足客戶與業務的需求。Build secure and scalable e-commerce solutions that meet the demands of both customers and business. 透過自訂的產品和供應項目與客戶互動、快速且安全地處理交易,並專注於履行和客戶服務。Engage customers through customized products and offers, process transactions quickly and securely, and focus on fulfillment and customer service.

  • 使用 Azure PostgreSQL 的零售和電子商務Retail and e-commerce using Azure PostgreSQL

    建置安全且可調整的電子商務解決方案,以滿足客戶與業務的需求。Build secure and scalable e-commerce solutions that meet the demands of both customers and business. 透過自訂的產品和供應項目與客戶互動、快速且安全地處理交易,並專注於履行和客戶服務。Engage customers through customized products and offers, process transactions quickly and securely, and focus on fulfillment and customer service.

  • 在 Azure 上執行 Oracle DatabaseRunning Oracle Databases on Azure

    此方案架構說明在 Azure 中為您的 Oracle Database Enterprise Edition 達成高可用性的標準架構。This solution architecture illustrates a canonical architecture to achieve high availability for your Oracle Database Enterprise Edition in Azure.

  • SQLServer 上的 SAP NetWeaverSAP NetWeaver on SQLServer

    SQL Server 應用程式解決方案上的 NetWeaver,說明使用者要求如何透過使用 Azure 虛擬機器來裝載 SAP 應用程式和 SQL Server 資料庫,在 NetWeaver 上建置 SAP 環境的流程。The NetWeaver on SQL Server application solution illustrates how a user request flows through an SAP landscape built on NetWeaver by utilizing Azure Virtual Machines to host SAP applications and a SQL Server database.

  • Azure 與 Linux 上的 SAP S/4 HANA VM | Microsoft AzureSAP S/4 HANA VM on Azure and Linux| Microsoft Azure

    透過逐步流程圖,深入了解使用者要求的 SAP S/4 HANA 和 Linux 方案架構。Learn more about the SAP S/4 HANA and Linux solution architecture for user requests with a step-by-step flow chart. 了解 Azure 虛擬機器如何為整個系統注入動能,並深入了解此應用程式解決方案的優點。See how Azure Virtual Machines power the entire system, and learn more about the advantages of this application solution.

  • 使用 HDInsight 進行串流Streaming using HDInsight

    使用 Apache Kafka、Apache Storm 和 Apache Spark Streaming,每秒內嵌和處理數百萬個串流事件。Ingest and process millions of streaming events per second with Apache Kafka, Apache Storm, and Apache Spark Streaming.

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DevOps

  • Azure VM 的 CI/CDCI/CD for Azure VMs

    Azure 是世界級的雲端服務,可裝載執行 Windows 或 Linux 的虛擬機器。Azure is a world-class cloud for hosting virtual machines running Windows or Linux. 無論使用 ASP.NET、JAVA、Node.js 或 PHP 開發應用程式,都需要持續整合與持續部署 (CI/CD) 管線,將變更自動推送到這些虛擬機器。Whether you use ASP.NET, Java, Node.js, or PHP to develop applications, you'll need a continuous integration and continuous deployment (CI/CD) pipeline to push changes to these virtual machines automatically.

  • Azure Web Apps 的 CI/CDCI/CD for Azure Web Apps

    Azure Web Apps 可使用 ASP.NET、JAVA、Node.js 或 PHP,輕鬆快速地建立 Web 應用程式。Azure Web Apps is a fast and simple way to create web apps using ASP.NET, Java, Node.js, or PHP. 透過持續整合和持續部署 (CI/CD) 管線,將您的每項變更自動推送至 Web Apps,讓客戶更快速實現價值。Deliver value faster to your customers with a continuous integration and continuous deployment (CI/CD) pipeline that pushes each of your changes automatically to Web Apps.

  • 容器的 CI/CDCI/CD for Containers

    容器可讓您輕鬆地持續建置及部署應用程式。Containers make it easy for you to continuously build and deploy your applications. 藉由使用 Azure Kubernetes Service (AKS) 中的 Kubernetes 來協調這些容器的部署,您可以獲得可複製、管理的容器叢集。By orchestrating deployment of those containers using Kubernetes in Azure Kubernetes Service (AKS), you can achieve replicable, manageable clusters of containers.

  • 在 Azure Kubernetes Service (AKS) 上使用 Jenkins 和 Kubernetes 的容器 CI/CDContainer CI/CD using Jenkins and Kubernetes on Azure Kubernetes Service (AKS)

    容器可讓您輕鬆地持續建置及部署應用程式。Containers make it easy for you to continuously build and deploy applications. 藉由使用 Azure Kubernetes Service (AKS) 來協調這些容器的部署,您可以獲得可複製、管理的容器叢集。By orchestrating the deployment of those containers using Azure Kubernetes Service (AKS), you can achieve replicable, manageable clusters of containers.

  • 混合式環境中的 DevOpsDevOps in a hybrid environment

    Azure 中提供的工具可讓您實作 DevOps 策略,讓您能夠串聯管理雲端和內部部署環境。The tools provided in Azure allow for the implementation of a DevOps strategy that capably manages both cloud and on-premises environments in tandem.

  • Azure 中的 DevSecOpsDevSecOps in Azure

    DevSecOps 牽涉到從開發開始就使用安全性最佳做法,將焦點從最終的稽核轉移到最初的開發DevSecOps involves utilizing security best practices from the beginning of development, shifting the focus on security away from auditing at the end and towards development in the beginning

  • DevTest 映像處理站DevTest Image Factory

    使用 DevTest Image Factory 來建立、維護和散發自訂映像,這是來自 Azure DevTest Labs 的自動化映像開發和管理解決方案。Create, maintain, and distribute custom images with the DevTest Image Factory, an automated image development and management solution from Azure DevTest Labs.

  • 在 Azure 虛擬架構上使用 Jenkins 和 Terraform 的固定基礎結構 CI/CD 概觀Immutable Infrastructure CI/CD using Jenkins and Terraform on Azure Virtual Architecture overview

    Azure 是世界級的雲端服務,可裝載執行 Windows 或 Linux 的虛擬機器。Azure is a world-class cloud for hosting virtual machines running Windows or Linux. 無論使用 JAVA、Node.js、Go 或 PHP 開發應用程式,都需要持續整合與持續部署 (CI/CD) 管線,將變更自動推送到這些虛擬機器。Whether you use Java, Node.js, Go, or PHP to develop your applications, you'll need a continuous integration and continuous deployment (CI/CD) pipeline to push changes to these virtual machines automatically.

  • 使用 Jenkins 和 Azure Web Apps 的 Java CI/CDJava CI/CD using Jenkins and Azure Web Apps

    透過 Azure App Service,您可以快速且簡單地使用 JAVA、Node、PHP 或 ASP.NET 建立 Web 應用程式,並支援使用 Docker 自訂語言執行階段。Azure App Service is a fast and simple way to create web apps using Java, Node, PHP or ASP.NET, as well as support for custom language runtimes using Docker. 持續整合和持續部署 (CI/CD) 管線可將您的每項變更自動推送至 Azure 應用程式服務,讓客戶更快速實現價值。A continuous integration and continuous deployment (CI/CD) pipeline that pushes each of your changes automatically to Azure app services allows you to deliver value faster to your customers.

  • 在 Azure 上執行 Jenkins 伺服器Run a Jenkins server on Azure

    建議的架構顯示如何在受到單一登入 (SSO) 保護的 Azure 上,部署和操作可調整的企業級 Jenkins 伺服器。Recommended architecture that shows how to deploy and operate a scalable, enterprise-grade Jenkins server on Azure secured with single sign-on (SSO).

  • 使用低成本的無伺服器 Azure 服務即時共用位置Sharing location in real time using low-cost serverless Azure services

    SignalR 會在無伺服器模式下設定,以搭配使用由服務匯流排觸發的 Azure 函式。SignalR configured in server-less mode to work with Azure Function triggered by Service Bus. 所有這些項目都會使用 .NET Core。All of it using .NET Core. 此案例最適合用於即時傳訊應用程式,因為使用者需要低成本但健全的訊息服務。This scenario is best used for real time messaging applications where users require a low-cost but robust messaging service.

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開發人員工具

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混合式

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身分識別

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整合

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物聯網

  • Azure IoT 參考架構Azure IoT reference architecture

    使用 PaaS (平台即服務) 元件在 Azure 上建議的 IoT 應用程式架構Recommended architecture for IoT applications on Azure using PaaS (platform-as-a-service) components

  • Azure IoT 參考架構Azure IoT reference architecture

    使用 PaaS (平台即服務) 元件在 Azure 上建議的 IoT 應用程式架構Recommended architecture for IoT applications on Azure using PaaS (platform-as-a-service) components

  • 使用語音助理控制 IoT 裝置Controlling IoT devices using a Voice Assistant

    使用所有可存取網際網路的裝置 (包括連線的電視或冰箱,甚至是已連線發電廠中的裝置),建立無縫對話介面。Create seamless conversational interfaces with all of your internet-accessible devices�from your connected television or fridge to devices in a connected power plant. 透過結合 Azure 語音服務、Language Understanding 服務 (LUIS) 和 Azure Bot Framework,開發人員可以建立自然、擬人的對話介面來控制智慧型裝置。By combining Azure Speech Service, Language Understanding Service (LUIS) and Azure Bot Framework, developers can create natural, human-like conversational interfaces to control smart devices.

  • IoT 架構 – Azure IoT 子系統IoT Architecture � Azure IoT Subsystems

    了解我們建議使用的 IoT 應用程式架構,以支援混合式雲端和邊緣運算。Learn about our recommended IoT application architecture that supports hybrid cloud and edge computing. 流程圖詳細說明子系統在 IoT 應用程式中的運作方式。A flowchart details how the subsystems function within the IoT application.

  • IoT 和資料分析IoT and data analytics

    使用 IoT 裝置和資料分析,提供營建專案的全方位管理和作業。Use IoT devices and data analytics to provide comprehensive management and operation of construction projects.

  • 使用 Cosmos DB 的 IoTIoT using Cosmos DB

    針對各式各樣無法預測的 IoT 工作負載進行立即且彈性的調整,不必犧牲內嵌或查詢的效能。Scale instantly and elastically to accommodate diverse and unpredictable IoT workloads without sacrificing ingestion or query performance.

  • 即時 Web 儀表板Real-time Web Dashboard

    安全地監視及控制從連線至網際網路的裝置串流的資料Securely monitor and control data streamed from Internet-connected devices

  • 使用 Microsoft 身分識別平台保護 IoT SaaS 應用程式Secure your IoT SaaS app with the Microsoft identity platform

    開發人員如何使用 Azure Active Directory 和 Microsoft 身分識別平台針對 SaaS 應用程式 (管理雲端連線 IoT 裝置) 實作安全驗證和授權。How a developer can use Azure Active Directory and the Microsoft identity platform to implement secure authentication and authorization for SaaS apps that manage cloud-connected IoT devices.

  • 車輛遙測分析Telemetry Analytics

    汽車經銷商、汽車製造商和保險公司如何運用 Cortana Intelligence 功能,取得車輛健全狀態與駕駛習慣的即時預測情資。Car dealerships, automobile manufacturers and insurance companies can use the capabilities of Cortana Intelligence to gain real-time and predictive insights on vehicle health and driving habits.

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管理和治理

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媒體

  • 即時視訊串流數位媒體Live streaming digital media

    即時串流解決方案可讓您即時擷影片並放送給取用者,例如線上串流訪談、會議和體育活動。A live streaming solution allows you to capture video in real-time and broadcast it to consumers in real time, such as streaming interviews, conferences, and sporting events online.

  • 點播視訊數位媒體Video-on-demand digital media

    基本的隨選影片解決方案,可讓您將錄製的影片內容 (例如電影、新聞剪輯、賽事精華、訓練影片和客戶支援教學課程) 串流至任何支援影片的端點裝置、行動應用程式或桌上型電腦瀏覽器。A basic video-on-demand solution that gives you the capability to stream recorded video content such as movies, news clips, sports segments, training videos, and customer support tutorials to any video-capable endpoint device, mobile application, or desktop browser. 影片檔案會上傳至 Azure Blob 儲存體,編碼成多位元速率標準格式,然後透過所有主要的自適性串流通訊協定 (HLS、MPEG-DASH、Smooth) 散發至 Azure 媒體播放器用戶端。Video files are uploaded to Azure Blob storage, encoded to a multi-bitrate standard format, and then distributed via all major adaptive bit-rate streaming protocols (HLS, MPEG-DASH, Smooth) to the Azure Media Player client.

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遷移

  • 將行動前端新增至舊版應用程式Adding a mobile front-end to a legacy app

    此解決方案示範如何將多個商務系統的資料合併到同一個位置,然後透過網路和行動裝置前端加以呈現,以將現有的應用程式現代化。The solution demonstrates modernizing an existing application by consolidating data from multiple business systems into one place and surfacing it through web and mobile frontends. 目標是要提升員工生產力,並能夠更快地做出決策。This is targeted at improving employee productivity and to enable faster decision making.

  • LOB 應用程式的無伺服器計算解決方案Serverless Computing Solution for LOB Apps

    此解決方案示範客戶上線的商務流程。The solution demonstrates a business process for customer onboarding. 這個無伺服器架構可讓您建置及執行應用程式,而不必擔心基礎結構和管理和維護等相關問題。This serverless architecture enables you to build and run applications without having to worry about the underlying infrastructure and the associated management and maintenance. 您可以透過此架構大幅提升開發人員的生產力。By using it, you can dramatically improve developer productivity.

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混合實境

  • 由混合實境提供的設計檢閱Design Review Powered by Mixed Reality

    產品設計人員往往會浪費時間和金錢,以沒有效率的方式檢閱設計;2D 影像無法提供基本的詳細資料和內容,而實體原型則所費不貲。Too often, product designers waste time and money with inefficient design review�2D images lose essential detail and context, and physical prototypes are extremely expensive. 在此混合現實案例中,用戶端、設計師和現場工程師可以輕鬆地在其環境內容中以 3D 全像投影的方式共用並檢閱設計,以加速設計決策並縮短上市時間。With this mixed reality scenario, clients, designers, and on-site engineers can easily share and review designs as 3D holograms in the context of their environment, accelerating design decisions and reducing time to market.

  • 採用混合實境和 IoT 技術的設施管理Facilities management powered by mixed reality and IoT

    透過混合實境和 IoT,改善旅遊、製造、零售等產業的執行時間和營運。Improve uptime and operations in hospitality, manufacturing, retail, and more with mixed reality and IoT. 此案例會示範如何在您的環境內容中,以即時資料將實體空間的虛擬複本視覺化。This scenario shows how you can visualize a virtual replica of your physical space with real-time data in the context of your environment. 其建置於 Azure Spatial Anchors 和 Azure Digital Twins 上。It is built on Azure Spatial Anchors and Azure Digital Twins. 檢閱此方案架構之後,請直接深入探索我們的參考範例。After reviewing this solution architecture, dive right in and explore our reference sample.

  • 採用混合實境技術的訓練和程序性指引Training and procedural guidance powered by mixed reality

    提供可對應至實體工作區中精確位置的持續性全像投影指示,讓小組和員工能更快速地學習新的流程和內容,同時減少錯誤並增強自信。Enable your team and employees to learn new processes and materials faster, with fewer errors, and greater confidence by providing persistent holographic instructions mapped to precise locations in their physical workspace.

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行動

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網路功能

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安全性

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儲存體

  • HPC 媒體轉譯HPC Media Rendering

    使用結合 Azure CycleCloud 和 Avere vFXT 的 Azure 逐步 HPC 方案架構,將媒體轉譯流程最佳化。Optimize the media rendering process with a step-by-step HPC solution architecture from Azure that combines Azure CycleCloud and Avere vFXT.

  • 醫學資料儲存解決方案Medical Data Storage Solutions

    使用 Azure 的雲端式解決方案,有效且經濟實惠地儲存醫療保健資料。Store healthcare data effectively and affordably with cloud-based solutions from Azure. 以最高層級的內建安全性來管理醫療記錄。Manage medical records with the highest level of built-in security.

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Web

  • 打造可擴充的電子商務 Web 應用程式架構Architect scalable e-commerce web app

    電子商務網站包含簡單的訂單處理工作流程,並提供 Azure 服務的協助。The e-commerce website includes simple order processing workflows with the help of Azure services. 使用 Azure Functions 和 Web Apps,開發人員可以專注於建置個人化的體驗,讓 Azure 負責處理基礎結構。Using Azure Functions and Web Apps, developers can focus on building personalized experiences and let Azure take care of the infrastructure.

  • 基本 Web 應用程式Basic web application

    在 Azure 中執行的基本 Web 應用程式建議架構。Recommended architecture for a basic web application running in Azure.

  • 高可用性 SharePoint 伺服器陣列Highly available SharePoint farm

    了解如何使用 Azure 的逐步方案架構範本,部署適用於內部網路功能的高可用性 SharePoint 伺服器陣列。Learn how to deploy a highly available SharePoint farm for intranet capabilities with a step-by-step solution architecture template from Azure.

  • 混合式 SharePoint 伺服器陣列與 Office 365Hybrid SharePoint Farm with Office 365

    使用 Office 365 部署 SharePoint 和共用混合式工作負載,提供高度可用的內部網路功能。Deliver highly available intranet capability by deploying SharePoint and sharing hybrid workloads with Office 365. 透過逐步指示設定問題解決方案。Setup this solution with step-by-step instructions.

  • 針對 HA/DR 所建置的多層式 Web 應用程式Multi-tier web application built for HA/DR

    使用 Azure 虛擬機器、可用性集合、可用性區域、Azure Site Recovery 和 Azure 流量管理員,在 Azure 上建立為高可用性和災害復原而建置的多層式 Web 應用程式。Create a multitier web application built for high availability and disaster recovery on Azure using Azure virtual machines, availability sets, availability zones, Azure Site Recovery, and Azure Traffic Manager.

  • 適用於大型執行個體的 SAP S/4 HANASAP S/4 HANA for Large Instances

    深入了解 Azure 上的 SAP Hana,其用於包含高可靠性和災害復原的大型執行個體。Learn more about SAP HANA on Azure for large instances that includes high reliability and disaster recovery. 了解如何在 SAP Hana 的大型執行個體中使用 NFS 儲存體。Find out how NFS storage is used for large instances of SAP HANA.

  • 可擴充的 Episerver 行銷網站Scalable Episerver marketing website

    讓您的業務在一個平台上經營多通路數位行銷網站,並依需求增加和減少行銷活動。Let your business run multi-channel digital marketing websites on one platform and spin up and spin down campaigns on demand. 利用 Episerver 的完整功能來管理網站的每個層面和行銷活動效能。Take advantage of the comprehensive capabilities of Episerver to manage every aspect of your site and campaign performance.

  • 可擴充的 Sitecore 行銷網站Scalable Sitecore marketing website

    Sitecore Experience Platform (xP) 提供觸手可及的完整資料、整合工具及自動化功能,可讓您的客戶參與反覆式生命週期,這是一種贏得終生客戶所必備的技術基礎。With the Sitecore Experience Platform (xP), you have at your fingertips the complete data, integrated tools, and automation capabilities to engage your customers throughout an iterative life cycle�the technology foundation necessary to win customers for life.

  • 可調整的 Umbraco CMS Web 應用程式Scalable Umbraco CMS web app

    中型 Umbraco CMS Web 應用程式設定為針對高流量網站進行調整和最佳化;Medium Umbraco CMS web app configured to scale and optimal for high-traffic sites. 其使用兩個 Web 應用程式,一個用於前端應用程式,另一個則用於後端辦公室應用程式,並已啟用自動調整功能且部署在單一區域中。It uses two web apps, one for your front-end app and the other for your back-office app, deployed in a single region with autoscaling enabled.

  • 可調整的 Web 應用程式Scalable Web Apps

    可擴充的 Web 應用程式, azure redis cache, 工作階段資料快取, 使用者 cookie 快取, azure cache for redisscalable web apps, azure redis cache, session data cache, user cookie cache, azure cache for redis

  • 簡易品牌網站Simple branded website

    快速建置並啟動可根據客戶需求自動調整的數位行銷活動。Quickly build and launch digital campaigns that automatically scale based on customer demand.

  • 簡易數位行銷網站Simple digital marketing website

    無需撰寫程式碼的技能,也能簡單使用內容管理系統,輕鬆地從瀏覽器即時維護網站上的訊息。Start simple with the content management system that enables you to easily maintain the messaging on your website in real-time, from a browser, with no coding skills.

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