39
Microsoft Big Data 解解解解解解解解解 DBI 312 Rich Ho Technical Architect 微微微微微微

Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Embed Size (px)

Citation preview

Page 1: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data 解決方案與案例分享

DBI 312

Rich HoTechnical Architect微軟技術中心

Page 2: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Agenda

• What is Big Data?• Microsoft Big Data Strategy• Key Benefits of Microsoft Big Data• Demo• Case Study

Page 3: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

What is Big Data ?

Page 4: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

By 2015, organizations that build a modern information management system will outperform their peers financially by 20 percent.

– Gartner, Mark Beyer, “Information Management in the 21st Century”

10x increase every five years

85% from new

data types

Dataexplosion

VolumeVelocityVariety

Easy Accessibility of External Data

Hadoop

Cloud

Cheap, Distributed Storage &

Processing

The world of Data is changing

Page 5: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Three V in Big Data

Relational Data

10x increase every 5 years

VOLUME

4.3 connected devices per adult

VELOCITY

VARIETY

85% from new data types

Big Data

Page 6: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

We are moving to Big Data

Any Data, Any Size, Anywhere

Traditional Data

Big Data

Data Volume Petabytes+Terabytes

Data Variety UnstructuredStructured

Data Velocity StreamingBatch

Garbage? +++++-----

Page 7: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

With Big Data, says:

以前我們將尿布和啤酒放在一起而創造新業績

現在我們將比老爸更早一步知道他女兒懷孕了 !

Page 8: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Traditional data flow

Page 9: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

New exploratory data flow

Page 10: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

What is Big Data?

Increasing Data Volumes

Increasing Data & Analysis Complexing

Emerging Technologies

Page 11: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data Strategy

Page 12: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data Stacks

NON-RELATIONAL

100111

DATA MANAGEMENT

SHAREAND GOVERN

DISCOVERAND RECOMMEND

TRANSFORMAND CLEAN

INSIGHTS

DATA ENRICHMENT

OPERATIONAL

SELF-SERVICE MOBILE

PREDICTIVE

REAL-TIMECOLLABORATIVE

MA

RK

ETPLA

CE

Exte

rnal D

ata

and S

erv

ices

RELATIONAL MULTIDIMENSIONAL STREAMING

Page 13: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Fast

L

oad

Source Systems

Historical Data(Beyond Active Window)

Summarize & Load

Big Data Sources (Raw, Unstructured) Data & Compute

Intensive Application

ERPCRM LOB

APPS

Integrate/Enrich

Enterprise Data Warehouse

Enterprise ETL with SSIS, DQS, MDS

Distributed environments for Non-structured data

Data Marts

Reporting

Multi-dimensional Analysis

Business Insights

Interactive Reports

Performance Scorecards

Crawlers

Bots

Devices

Sensors

Online Transaction

Enterprise Big Data Blueprint

Page 14: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Hadoop on Windows

Hadoop on Azure

Page 15: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Fast

L

oad

Source Systems

Historical Data(Beyond Active Window)

Summarize & Load

Big Data Sources (Raw, Unstructured) Data & Compute

Intensive Application

ERPCRM LOB

APPS

Integrate/Enrich

Hadoop on Windows Azure

Hadoop on Windows Server

Business Insights

Interactive Reports

Performance Scorecards

Crawlers

Bots

Devices

Sensors

Enterprise Data Warehouse

Data Marts

Reporting

Multi-dimensional Analysis

Enterprise ETL with SSIS, DQS, MDS

Online Transaction

Microsoft Big Data Platform

Page 16: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Fast

L

oad

Source Systems

Historical Data(Beyond Active Window)

Summarize & Load

Big Data Sources (Raw, Unstructured) Data & Compute

Intensive Application

ERPCRM LOB

APPS

Integrate/Enrich

Hadoop on Windows Azure

Hadoop on Windows Server

Business Insights

Interactive Reports

Performance Scorecards

Crawlers

Bots

Devices

Sensors

Enterprise Data Warehouse

Data Marts

Reporting

Multi-dimensional Analysis

Enterprise ETL with SSIS, DQS, MDS

Online TransactionSQL Server

EE

SQL Server PDW

SQL Server FT

Microsoft Big Data Platform

Page 17: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Fast

L

oad

Source Systems

Historical Data(Beyond Active Window)

Summarize & Load

Big Data Sources (Raw, Unstructured) Data & Compute

Intensive Application

ERPCRM LOB

APPS

Integrate/Enrich

Hadoop on Windows Azure

Hadoop on Windows Server

Business Insights

Interactive Reports

Performance Scorecards

Crawlers

Bots

Devices

Sensors

Enterprise Data Warehouse

Data Marts

Reporting

Multi-dimensional Analysis

Enterprise ETL with SSIS, DQS, MDS

Online Transaction

SQL Azure

Microsoft Big Data on Public Cloud

Page 18: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Hadoop on Azure (CTP)

Page 19: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Request a New Cluster (4 nodes, 2 TB)

Page 20: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Allocating NN & DN

Page 21: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Starting NN & DN

Page 22: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

NN & DN ready! (after 9 mins)

Page 23: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Hadoop on Azure ready! (after 13 mins)

Page 24: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Access Hadoop on Azure through RDP

Page 25: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Key Benefits of Microsoft Big Data

Page 26: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data Benefits

• New Hadoop-based distribution on Windows / Azure

• Hive ODBC driver

• Hive add-in for Excel

Broader Access of Hadoop

• Analyze Big Data with familiar tools (Excel, PowerPivot, Power View)

• JavaScript based simple programming

Breakthrough Insights

• System Center Integration

• Active Directory Integration

Enterprise Ready

Page 27: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Breakthrough Insights

Hive ODBC Driver integrates Hadoop to SQL Server Analysis Services, PowerPivot, and Power View

Breakthrough Insights

Benefits

Key

Featu

res

Page 28: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Broader Access of Hadoop

Hive add-in for Excel

Hive ODBC driver

Broader Access of Hadoop

Benefits

Key

Featu

res

Page 29: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Enterprise Ready (SCOM Integration)

System Center to monitor performances of Head nodes and Data nodes

Enterprise Ready

Benefits

Key

Featu

res

Page 30: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

1. Hadoop on Azure - JavaScript Console - Job Execution2. Excel Hive Connectivity3. Windows Marketplace & Hadoop on Azure Integration

Page 31: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Case Study: Mining Big Mobility Data

Page 32: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data Case Study: T-Drive

Page 33: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Microsoft Big Data Case Study: T-Drive

Page 34: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Video

Microsoft Research AsiaBig Data Case Study

Page 35: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Thank You

Page 36: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

Connect. Share. Discussshttp://www.microsoft.com/taiwan/techdays2012/

Microsoft Certification & Training Resources

http://www.microsoft.com/learning/zh/tw/

Resources for IT Professionals

http://social.technet.microsoft.com/Forums/zh-tw/categories

/

Resources for Developershttp://social.msdn.microsoft.com/Forums/zh-tw/categories

/

Resources

Page 37: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心
Page 38: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心

請協助完成「本課程問卷」,並在離開教室時交給工作人員!

填妥大會背包中的大會問卷,可於活動第三天兌換問卷禮哦!

感謝您的合作。

Page 39: Microsoft Big Data 解 決方案與案例分享 Rich Ho Technical Architect 微軟技術中心