關於我…

• 建國中學、輔仁大學應用數學系、交通大學工業工程研究所。1999年於南加大取得 M.S.

Degree in Computer Science 後，留美由一間小新創公司的軟體工程師開始職涯。後歷任 US.

Interactive Inc. 資深工程師、Sierra Systems 技術主管。

• 2005 返台並加入台灣微軟，曾任技術中心 (MTC) 資深架構師、開發體驗暨平台推廣事業部(DX) 資深協理，現任大中華區 Azure CAT 高級項目經理，提供企業公有雲實作最佳解決方案及微軟產品規劃。

• 具多年協助大型企業及新創公司導入新一代技術平台、及技術行銷之經驗，除 Azure 公有雲解決方案外，於企業搜尋解決方案、企業單一入口及 Windows Apps、Office Apps 等亦有涉獵。

Platform Services

Infrastructure Services

WebApps

MobileApps

API Apps

Notification Hubs

HybridCloud

Backup

StorSimple

Azure SiteRecovery

Import/Export

SQL Database DocumentDB

Redis Cache

AzureSearch

StorageTables

SQL DataWarehouse

Azure AD Health Monitoring

AD PrivilegedIdentity Management

OperationalAnalytics

Cloud Services

BatchRemoteApp

ServiceFabric

Visual Studio

ApplicationInsights

VS Team Services

Domain Services

HDInsight MachineLearning Stream Analytics

Data Factory

EventHubs

Data LakeAnalytics Service

IoT Hub

Data Catalog

Security & Management

Azure ActiveDirectory

Multi-FactorAuthentication

Automation

Portal

Key Vault

Store/Marketplace

VM Image Gallery& VM Depot

Azure ADB2C

Scheduler

Xamarin

HockeyApp

Power BI Embedded

SQL Server Stretch Database

MobileEngagement

FunctionsCognitive Services Bot Framework Cortana

Security Center

Container Service

VM Scale Sets

Data Lake Store

BizTalkServices

Service Bus

Logic Apps

API Management

Content DeliveryNetwork

Media Services

Media Analytics

主題：將資料轉換為智能及決策

Intelligence

Dashboards &

Visualizations

Information

Management

Big Data Stores Machine Learning

and Analytics

CortanaEvent HubsHDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Intelligence Action

People

Automated Systems

Apps

Web

Mobile

Bots

Bot

FrameworkSQL Data

WarehouseData Catalog

Data Lake

Analytics

Data Factory Machine

LearningData Lake Store

Cognitive

Services

Power BI

Data

Sources

Apps

Sensors

and

devices

Data

Vehicle Telemetry Analytics 車輛遙測收集及分析

https://channel9.msdn.com/Shows/Azure-Friday/Cortana-Analytics-Vehicle-Telemetry-Analytics-Solution-Template

Information Management 資訊管理

Data

Sources

Apps

Sensors

and devices

Data

Information

Management

Event Hubs

Data Catalog

Data Factory

Compose and orchestrate data services at scale大數據收集之協調整合

INGEST

SQL

<>

SQL

DATA SOURCES

{ }

SQL

• 建立、排程、組織及管理資料管線

• 顯現資料歷程

• 連接到企業內部原生資料庫或雲端資料來源

• 監視資料管線健全狀態

• 自動化雲端資源管理

• 轉換及分析：如半結構化資料加入 Hadoop 處理轉換為 Hive, Pig, 或自訂程式碼

Information

Management

Event Hubs

Data Catalog

Data Factory

Get more value from your enterprise data assets資料目錄

Information

Management

Event Hubs

Data Catalog

Data Factory

• 註冊企業資料資產

• 快速探索資料資產，縮短找尋資料的時間

• 讓資料存留在預期的位置；選擇您的連接工具

• 控制可探索註冊之資料資產的使用者

• 利用開放的 REST API 融入現有工具和程序

• 降低在資料生態系統使用者之間的屏障，弭平 IT 和業務之間的間隙

Ingest events from websites, apps and devices at cloud scale 事件中樞-從網站、應用程式和裝置擷取雲端等級的遙測數據

• 每秒，即時，記錄數百萬個事件 (AMQP & HTTPS)

• 靈活的授權與節流 (throttling) 來連接裝置

• 使用以時間為基礎的事件緩衝 (time-based event buffering)

• 彈性化的規模 scale up and down

• 使用原生用戶端程式庫，以連接最廣泛的平台 (.NET, Java, Rest)

• 支援多種雲端服務隨插即用的配接器 (ex: NiFi, ELK stack, etc.)

Azure

API

Management

Backend Services

Data

Information

Management

Event Hubs

Data Catalog

Data Factory

Data sources

Apps

Sensors and devices

Event Hubs

SQL Database Machine Learning

HDInsightStorage

Power BIStream Analytics

Big Data Stores 存放海量資料，並視需求擴充

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Data

Sources

Apps

Sensors

and devices

Data

Information

Management

Event Hubs

Data Catalog

Data Factory

A hyper-scale repository for big data analytics workloads支援智慧行動的無限制 Data Lake

• 支援使用開放 Apache Hadoop 分散式檔案系統 (HDFS) 標準的任何應用程式

• 不限資料大小，可以儲存數兆個檔案，單一檔案的大小可大於 1 PB，這比其他雲端存放區大 200 倍

• 適合用來儲存任何類型的資料，如高解析度視訊等大規模資料集、基因和地震資料集、醫學資料等

• 調整輸送量以支援大規模平行處理分析

• 永遠加密、角色型安全性與稽核：內建單一登入 (SSO)、多重要素驗證及流暢管理數百萬個身分識別等功能。使用角色型存取控制 (RBAC)，將 POSIX 型 ACL 授權給使用者和群組

LOB

Applications

SocialDevices

Clickstream

Sensors

Video

Web

Relational

HDInsight

ADL Analytics

Machine Learning

Spark

R

ADL Store

Big Data Stores

SQL Data

Warehouse

Data Lake Store

SQL Data WarehouseSQL 資料倉儲

• 結合 SQL Server 關聯式資料庫與 Azure 雲端相應放大功能。

• 在數秒內增加或減少存儲空間、暫停或繼續計算

• 實證經驗，在 6 億個使用者帳戶間支援 13 億筆每日AAD驗證

• 內建 Microsoft PolyBase 技術，可簡化並使用分散式分析，讓您透過熟悉的工具在多個資料來源間執行單一 T-SQL 查詢

• 與 SQL Server Integration Services、Azure Analysis Services、Azure 串流分析、Azure Machine Learning、Azure Data Factory 及 Azure 儲存體的無縫整合

Power BI

App ServiceSQL Database

SQL Data Warehouse

Machine Learning

Hadoop

Intelligent App

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Machine Learning and Analytics預測結果及制定決策

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Data

Sources

Apps

Sensors

and devices

Data Intelligence

Information

Management

Event Hubs

Data Catalog

Data Factory

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

Easily build, deploy, and share predictive analytics solutions無論是否資料科學家，快速建立、佈署並分享預測分析方案

• 提供多種強固學習演算法模組、訓練資料及視覺化檢驗

• 支援 R & Python 及數百個 CRAN 套件

• 預測成果以 Web Service 佈署於雲端，享受可擴充性及穩定性，支援單次或批次呼叫

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

如果搭上了鐵達尼號，會生還嗎?http://demos.datasciencedojo.com/demo/titanic/

發佈為Web Service https://docs.microsoft.com/zh-tw/azure/machine-learning/machine-learning-excel-add-in-for-

web-services

機器學習演算法小祕技 https://docs.microsoft.com/zh-tw/azure/machine-learning/machine-learning-algorithm-cheat-sheet

Data Lake Analytics以 U-SQL、R、Python 和 .Net輕鬆開發及執行大規模平行轉換和處理資料的程式，來處理 PB 規模的資料

• 基於 YARN 架構的公有雲平台服務

• 隨選服務，幾秒內即可開始處理巨量資料作業

• 使用您熟悉的技術：U-SQL, Spark, Hive, HBase and Storm

• 處理 PB 規模的資料。無需管理基礎結構，您可以視需要處理資料、立即調整規模，並只按各項作業付費

• 能夠使用 Azure SQL Database 和 Azure SQL 資料倉儲等關聯式來源的最佳化資料視覺效果

• 提供 99.9% SLA 的支援

Data Lake Analytics

SQL DW SQL DB Storage BlobsData Lake Store SQL DB in a VM

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

Comprehensive set of managed Apache big data projects企業用雲端 Spark 和 Hadoop 服務

• 唯一受完整管理的雲端 Hadoop 產品，為 Spark、Hive、MapReduce、HBase、Storm、Kafka 和 R 伺服器提供最佳化開放原始碼分析叢集

• 支援 Visual Studio、Eclipse 和 IntelliJ 等開發環境

• 透過整合兩個最熱門的筆記本 Jupyter 和 Zeppelin 來解析資料

• 支援 Linux 及 Windows，數秒之內完成佈署，不需要修補作業系統或更新Hadoop 版本，Azure 會為您代勞

• R 伺服器中的多執行緒數學程式庫與透明的並行作業，最多可處理比開放原始碼 R 多 1000 倍的資料，且速度快 50 倍

• 透過低耦合計算及儲存體，相應增加或減少工作負載以符合成本效益

Core Engine

Batch

Map Reduce

Script

Pig

SQL

Hive

NoSQL

HBase

Streaming

Storm

In-Memory

Spark

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

Real-time stream processing in the cloud串流分析

• 即時分析資料流，例如 IoT 方案

• 每秒串流處理數百萬個事件

• 串流分析以高輸送量處理資料，產生可預測的結果，而且不會遺失資料

• 為來自裝置與應用程式的資料，建立即時儀表板與警示

• 相互關聯多個資料串流

• 使用熟悉的 SQL 語言，加快開發的速度

Event Hubs

Blob Storage

Stream

Analytics

SQL Database

Event Hubs

Power BI

Blob Storage

Table Storage

Demo: Cortana Intelligence Gallery https://gallery.cortanaintelligence.com

Intelligence智能

Intelligence

Cortana

Bot

Framework

Cognitive

Services

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Data

Sources

Apps

Sensors

and devices

Data

Information

Management

Event Hubs

Data Catalog

Data Factory

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Lake

Analytics

Machine

Learning

microsoft.com/cognitive

DEMO

microsoft.com/cognitive

Roll your own with REST APIs

Simple to add: just a few lines of code required

Integrate into the language and platform of your choice

Breadth of offerings helps you find the right API for your app

Built by experts in their field from Microsoft Research, Bing, and Azure Machine Learning

Quality documentation, sample code, and community support

Easy Flexible Tested

GET AKEY

https://www.youtube.com/watch?v=aEBi4OpXU4Q

2015 System

Human Error Rate 4%

Speech Recognition could reach human parity in the next 3 years

microsoft.com/cognitive

Your bots – wherever your users converse

Intelligence

Cortana

Bot

Framework

Cognitive

Services

• Bot Connector Service: A service to register your bot, configure channels and publish to the Bot Directory. Connect your bot(s) seamlessly to text/sms, Office 365 mail, Skype, Slack, Twitter, and more.

• Bot Builder SDK: An open source SDK hosted on GitHub. Everything you need to build great dialogs within your Node.js or C# bot

• Bot Directory: A public directory of bots registered through the Bot Connector Service. Discover, try, and add bots to conversation experiences

https://dev.botframework.com/

Microsoft Bot Builder (SDKs)

Microsoft Bot Directory

Knowledge & Intelligence Services

VisionWeb Search

Language Speech Knowledge

…ML

Public APIs (Cognitive Services)

Dialog Manager

Knowledge &

Action Graph Entity

Private APIs

Microsoft Bot Connector 4

3

2

1

Add smarts to your bot

Build a great bot

Make your bot discoverable

Connect your bot to channels

Co

nve

rsatio

n a

s a P

latf

orm

Conversation as a Platform

https://qnamaker.ai

Dashboards & Visualizations 將資料轉換成易於了解的、互動式的視覺圖像

Dashboards &

Visualizations

Power BI

IntelligenceInformation

Management

Big Data Stores Machine Learning

and Analytics

CortanaEvent HubsHDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Intelligence

Bot

FrameworkSQL Data

WarehouseData Catalog

Data Lake

Analytics

Data Factory Machine

LearningData Lake Store

Cognitive

Services

Data

Sources

Apps

Sensors

and

devices

Data

Keep a pulse on your business with live, interactive dashboards將資料轉換為互動、即時的圖表，隨時隨地觀看

Event Hubs

Stream Analytics

Machine Learning

Storage

SQL databaseHDInsight

Power BI

Power BI

• Power BI 儀表板為商務使用者設計，無需IT背景

• 隨時隨地透過行動裝置即時存取

• 提供多種 2D/3D 圖表，互動、即時

• 亦可將報表內嵌到您既有網頁中

• 整合來自Excel 試算表、內部資料、Hadoop 資料集、資料流和雲端服務的資料源

Power BI

Dashboards &

Visualizations

Power BI

主題：將資料轉換為智能及決策

Intelligence

Dashboards &

Visualizations

Information

Management

Big Data Stores Machine Learning

and Analytics

CortanaEvent HubsHDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Intelligence Action

People

Automated Systems

Apps

Web

Mobile

Bots

Bot

FrameworkSQL Data

WarehouseData Catalog

Data Lake

Analytics

Data Factory Machine

LearningData Lake Store

Cognitive

Services

Power BI

Data

Sources

Apps

Sensors

and

devices

Data

DATACENTERS (CLOUD)

PC / DEVICE

DIGITAL TAPE

DVD / BLU-RAY

CD

CLOUD / IoT

PC / MOBILE

CLOUD

MOBILE

Microsoft Ventures

主題：將資料轉換為智能及決策

Intelligence

Dashboards &

Visualizations

Information

Management

Big Data Stores Machine Learning

and Analytics

CortanaEvent HubsHDInsight

(Hadoop and

Spark)

Stream

Analytics

Data Intelligence Action

People

Automated Systems

Apps

Web

Mobile

Bots

Bot

FrameworkSQL Data

WarehouseData Catalog

Data Lake

Analytics

Data Factory Machine

LearningData Lake Store

Cognitive

Services

Power BI

Data

Sources

Apps

Sensors

and

devices

Data

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