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Monetize Enterprise Data
Big Data 在台灣的經典應用與行動
陳育杰 Eric Chen
Senior AVP, Etu Business Development
eric_chen@etusolution.com
的特性
2
傳統平行運算架構	
  
The	
  Old	
  Way:	
  Bringing	
  Data	
  to	
  Compute
Hadoop	
  架構	
  	
  =	
  	
  平行運算 +	
  分佈式儲存	
  
The	
  New	
  Way:	
  Bringing	
  Compute	
  to	
  Data
運算
儲存
MapReduce
HDFS
Big Data 新應用架構
3
RDB
Business	
  
Intelligence
ETL
Business	
  
Analycs
Voice file
Video file
Image file
Doc file
Txt file
XML file
Web Logs
Click event
Social
network
Associated
map News
Feeds
Sensor
Embedded
RFID Tags
Geographic
GPS
Event
Others
MapReduce
HDFS
HBase
HIVE
 Impala
Mahout
 Pig
Big Data 新應用架構
Hadoop as a “Data Store”
4
RDB
Business	
  
Intelligence
ETL
Business	
  
Analycs
Voice file
Video file
Image file
Doc file
Txt file
XML file
Web Logs
Click event
Social
network
Associated
map News
Feeds
Sensor
Embedded
RFID Tags
Geographic
GPS
Event
Others
MapReduce
HDFS
HBase
HIVE
 Impala
Mahout
 Pig
Big Data 新應用架構
Hadoop as a “Data Pre-
processing Platform”
5
RDB
Business	
  
Intelligence
ETL
Business	
  
Analycs
Voice file
Video file
Image file
Doc file
Txt file
XML file
Web Logs
Click event
Social
network
Associated
map News
Feeds
Sensor
Embedded
RFID Tags
Geographic
GPS
Event
Others
HDFS
HBase
HIVE
 Impala
Mahout
MapReduce
Pig
HIVE	
  QL
Join,	
  Aggrega,on,	
  Filter,	
  Sor,ng,	
  	
  
Correla,on	
  ……..
Data	
  Integra4on
Big Data 新應用架構
Hadoop as a “DB”
6
RDB
BI
ETL
Business	
  
Analycs
Voice file
Video file
Image file
Doc file
Txt file
XML file
Web Logs
Click event
Social
network
Associated
map News
Feeds
Sensor
Embedded
RFID Tags
Geographic
GPS
Event
Others
MapReduce
HDFS
HBase
HIVE
 Impala
Mahout
 Pig
 ODBC
API
Big Data 新應用架構
Hadoop as a “Data Analytics
Engine”
7
RDB
Business	
  
Intelligence
ETL
Business	
  
Analycs
Voice file
Video file
Image file
Doc file
Txt file
XML file
Web Logs
Click event
Social
network
Associated
map News
Feeds
Sensor
Embedded
RFID Tags
Geographic
GPS
Event
Others
MapReduce
HDFS
HBase
HIVE
 Impala
Mahout
 Pig
Use Case 
Reference Architecture 
l  Real-time Query (電信)
l  Customer Services (電信)
l  Yield Rate Improvement (電子製造)
l  Recommendation  Behavior Analysis (電
商、媒體、零售)
l  Smart Retailing (Internet of Things)
8
Real-time Query (電信)
Use Case  Reference Architecture 
9
A10
/	
  F5
Etu	
  	
  
Hadoop	
  	
  
Cluster
HDFS
HBase	
  
	
  
	
  
	
  
Syslog	
  	
  
/	
  TCP
Plug-­‐in
Etu	
  
Data	
  
Flow
MSISDN	
  
IP	
  /	
  Time
IP	
  by	
  MSISDN
IP	
  by	
  MSISDN
MSISDN	
  by	
  IP
Real-­‐me	
  Query	
  
End-­‐to-­‐End	
  	
  5	
  sec
Historical	
  Query
Internet
Customer Services (電信)
Use Case  Reference Architecture 
10
DPI
Syslog	
  	
  
UDP
Internet
Border	
  
Router
Etu	
  Log	
  
Collector
200K	
  
EPS
HDFS
FTP
1	
  TB	
  /	
  Day	
  
0.7	
  TB	
  /	
  Day	
  
Table	
  A	
   Table	
  B	
   Table	
  C	
  
Etu	
  Hadoop	
  Cluster	
  
for	
  Correla4on	
  
(Regional)
HDFS
HBase	
  
	
  
	
  
Etu	
  Hadoop	
  Cluster	
  
for	
  Query	
  (180	
  days)	
  	
  	
  	
  
(Central)
11
Etu TQuery
電信巨量資料多樣查詢最佳化解決方案
Yield Rate Improvement (電子製造)
Use Case  Reference Architecture 
12
組裝包產線
SMT產線
製程資料
組裝包產線
SMT產線
SMT產線
SPC	
  
	
  
SFCS
SMT	
  
	
  
SFCS	
  
	
  
SPI
1.  生產問題及時發現: 資料處理與計算時間大幅縮短,可以提升品質判斷速度,減少產線損失 
2.  運算效能佳: 採用平行運算與分散式檔案系統,減少過多Temp Files與資料轉換,生成統計表提供查詢
3.  容量擴充成本低: 因應產線擴充,機台測試資料增加與保存時間延長可線性擴充 (Scale out)
Etu IProspects
 統計分析加以確認
統計分析
製作圖表
良率低
主因素
RDB
N	
  
mins
MPP	
  DB
資料探勘
特徵規則 (平行運算)
HDFS
No	
  SQL
SPC
 SMT
 SFCS
SMT	
  Data	
  Files
及時
算得快
擴充成本低
Etu Recommender
Etu Insight
Recommendation  Behavior
Analysis (電商、媒體、零售)
Use Case  Reference Architecture 
13
Consumer Discovery
Consumer Connect
Customer Profile Discovery
Data
Converter
Customer
Behavior
Data Warehouse
HIVE
JDBC/ODBC
Driver
Event
Collector
 Customer Behavior
Data Store
Analytics core
Etu Hadoop Platform
HDFS
 HBase
 HIVE
User Tracking
Dashboard
Recommendation
Recommendation
List
商品推薦
 內容推薦
 廣告推薦
 EDM	
  
整合
CRM	
  
整合
第三方	
  
分析工具	
  
連結
Recommendation  Behavior
Analysis (電商、媒體、零售)
Use Case  Reference Architecture 
14
Etu Recommender

商品
 內容
 廣告
Consumer Connect
Customer	
  
Behavior
Recommenda4on	
  
List
Etu Recommender

商品
 內容
 廣告
Consumer Connect
Customer	
  
Behavior
Recommenda4on	
  
List
Consumer Discovery
DW
 CRM
推薦運算叢集
3600	
  	
  
Customer	
  	
  
View
推薦運算叢集
 客戶行為分析叢集
Customer Profile Discovery
Data
Converter
Customer Behavior
Data Warehouse
HIVE JDBC
/ODBCDriver
Event
Collector
 Customer Behavior
Data Store
Analytics core
Event
Collector
 Customer Behavior
Data Store
Analytics core
Smart Retailing (IoT)
Use Case  Reference Architecture (Proof-of-Concept)
15
Etu Recommender

商品
 內容
 廣告
Consumer Connect
Customer	
  
On-­‐line	
  	
  
Behavior	
  
Recommenda4on	
  
List
Consumer Discovery
DW
 CRM
3600	
  	
  
Customer	
  	
  
View
Customer Profile Discovery
Data
Converter
Customer Behavior
Data Warehouse
HIVE JDBC
/ODBC Driver
Event
Collector
 Customer Behavior
Data Store
Analytics core
Customer	
  
Off-­‐line	
  	
  
Behavior	
  
318,	
  Rueiguang	
  Rd.,	
  Taipei	
  114,	
  Taiwan	
  
T:	
  +886	
  2	
  7720	
  1888	
  
info@etusolu4on.com	
  
www.etusolu4on.com
Thank	
  you

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Big Data Taiwan 2014 Keynote 4: Monetize Enterprise Data – Big Data 在台灣的經典應用與行動

  • 1. Monetize Enterprise Data Big Data 在台灣的經典應用與行動 陳育杰 Eric Chen Senior AVP, Etu Business Development eric_chen@etusolution.com
  • 2. 的特性 2 傳統平行運算架構   The  Old  Way:  Bringing  Data  to  Compute Hadoop  架構    =    平行運算 +  分佈式儲存   The  New  Way:  Bringing  Compute  to  Data 運算 儲存 MapReduce HDFS
  • 3. Big Data 新應用架構 3 RDB Business   Intelligence ETL Business   Analycs Voice file Video file Image file Doc file Txt file XML file Web Logs Click event Social network Associated map News Feeds Sensor Embedded RFID Tags Geographic GPS Event Others MapReduce HDFS HBase HIVE Impala Mahout Pig
  • 4. Big Data 新應用架構 Hadoop as a “Data Store” 4 RDB Business   Intelligence ETL Business   Analycs Voice file Video file Image file Doc file Txt file XML file Web Logs Click event Social network Associated map News Feeds Sensor Embedded RFID Tags Geographic GPS Event Others MapReduce HDFS HBase HIVE Impala Mahout Pig
  • 5. Big Data 新應用架構 Hadoop as a “Data Pre- processing Platform” 5 RDB Business   Intelligence ETL Business   Analycs Voice file Video file Image file Doc file Txt file XML file Web Logs Click event Social network Associated map News Feeds Sensor Embedded RFID Tags Geographic GPS Event Others HDFS HBase HIVE Impala Mahout MapReduce Pig HIVE  QL Join,  Aggrega,on,  Filter,  Sor,ng,     Correla,on  …….. Data  Integra4on
  • 6. Big Data 新應用架構 Hadoop as a “DB” 6 RDB BI ETL Business   Analycs Voice file Video file Image file Doc file Txt file XML file Web Logs Click event Social network Associated map News Feeds Sensor Embedded RFID Tags Geographic GPS Event Others MapReduce HDFS HBase HIVE Impala Mahout Pig ODBC API
  • 7. Big Data 新應用架構 Hadoop as a “Data Analytics Engine” 7 RDB Business   Intelligence ETL Business   Analycs Voice file Video file Image file Doc file Txt file XML file Web Logs Click event Social network Associated map News Feeds Sensor Embedded RFID Tags Geographic GPS Event Others MapReduce HDFS HBase HIVE Impala Mahout Pig
  • 8. Use Case Reference Architecture l  Real-time Query (電信) l  Customer Services (電信) l  Yield Rate Improvement (電子製造) l  Recommendation Behavior Analysis (電 商、媒體、零售) l  Smart Retailing (Internet of Things) 8
  • 9. Real-time Query (電信) Use Case Reference Architecture 9 A10 /  F5 Etu     Hadoop     Cluster HDFS HBase         Syslog     /  TCP Plug-­‐in Etu   Data   Flow MSISDN   IP  /  Time IP  by  MSISDN IP  by  MSISDN MSISDN  by  IP Real-­‐me  Query   End-­‐to-­‐End    5  sec Historical  Query Internet
  • 10. Customer Services (電信) Use Case Reference Architecture 10 DPI Syslog     UDP Internet Border   Router Etu  Log   Collector 200K   EPS HDFS FTP 1  TB  /  Day   0.7  TB  /  Day   Table  A   Table  B   Table  C   Etu  Hadoop  Cluster   for  Correla4on   (Regional) HDFS HBase       Etu  Hadoop  Cluster   for  Query  (180  days)         (Central)
  • 12. Yield Rate Improvement (電子製造) Use Case Reference Architecture 12 組裝包產線 SMT產線 製程資料 組裝包產線 SMT產線 SMT產線 SPC     SFCS SMT     SFCS     SPI 1.  生產問題及時發現: 資料處理與計算時間大幅縮短,可以提升品質判斷速度,減少產線損失 2.  運算效能佳: 採用平行運算與分散式檔案系統,減少過多Temp Files與資料轉換,生成統計表提供查詢 3.  容量擴充成本低: 因應產線擴充,機台測試資料增加與保存時間延長可線性擴充 (Scale out) Etu IProspects 統計分析加以確認 統計分析 製作圖表 良率低 主因素 RDB N   mins MPP  DB 資料探勘 特徵規則 (平行運算) HDFS No  SQL SPC SMT SFCS SMT  Data  Files 及時 算得快 擴充成本低
  • 13. Etu Recommender Etu Insight Recommendation Behavior Analysis (電商、媒體、零售) Use Case Reference Architecture 13 Consumer Discovery Consumer Connect Customer Profile Discovery Data Converter Customer Behavior Data Warehouse HIVE JDBC/ODBC Driver Event Collector Customer Behavior Data Store Analytics core Etu Hadoop Platform HDFS HBase HIVE User Tracking Dashboard Recommendation Recommendation List 商品推薦 內容推薦 廣告推薦 EDM   整合 CRM   整合 第三方   分析工具   連結
  • 14. Recommendation Behavior Analysis (電商、媒體、零售) Use Case Reference Architecture 14 Etu Recommender 商品 內容 廣告 Consumer Connect Customer   Behavior Recommenda4on   List Etu Recommender 商品 內容 廣告 Consumer Connect Customer   Behavior Recommenda4on   List Consumer Discovery DW CRM 推薦運算叢集 3600     Customer     View 推薦運算叢集 客戶行為分析叢集 Customer Profile Discovery Data Converter Customer Behavior Data Warehouse HIVE JDBC /ODBCDriver Event Collector Customer Behavior Data Store Analytics core Event Collector Customer Behavior Data Store Analytics core
  • 15. Smart Retailing (IoT) Use Case Reference Architecture (Proof-of-Concept) 15 Etu Recommender 商品 內容 廣告 Consumer Connect Customer   On-­‐line     Behavior   Recommenda4on   List Consumer Discovery DW CRM 3600     Customer     View Customer Profile Discovery Data Converter Customer Behavior Data Warehouse HIVE JDBC /ODBC Driver Event Collector Customer Behavior Data Store Analytics core Customer   Off-­‐line     Behavior  
  • 16. 318,  Rueiguang  Rd.,  Taipei  114,  Taiwan   T:  +886  2  7720  1888   info@etusolu4on.com   www.etusolu4on.com Thank  you