SlideShare a Scribd company logo
1 of 13
Big Data 視覺化分析解決方案
樺鼎商業資訊股份有限公司
Perform Global Inc.

資深顧問
董宗翰
Don Tung

Dec. 20, 2012
PGi – Perform Global (樺鼎商業資訊)
• An integrated solution provider for enterprise
  performance management and decision support.
  協助企業建構最具戰鬥力的營運績效管理及決策分析解決方案,
  以面對多變的市場挑戰。




                                                   2
Tableau
• 靈活運用Etu Hadoop的資料與分析成為最有價值的商業智慧
• 無需建置複雜的DW或Cube,即可隨時直接分析來自Etu Hadoop
  的資料
• 彈指間輕鬆完成視覺化的資料分析與探索,呈現即時、互動的儀表板
• 讓儲存於Etu Hadoop中的Big Data,瞬間被活化成為公司最夯的
  商業智慧來源,協助策略方向的制定與判斷




                                      3
4
系統架構
                                              Data
                               Data Marts   Warehouse     Files     Cubes




                                                                                Tableau Data Engine
                                                                                Technology

Tableau Native Query
Technology
                                 SQL            MDX               Data Engine
+ Interactive queries to the                                                    + Highly compressed
                               Connector      Connector
  database                                                                      + Optimized API specific for
+ Leverages IT policies for                                                       Tableau
  security                                                                      + 64-bit (32-bit version as
+ Avoids data silos                                                               well)
+ Ensures fresh data results
+ Values the EDW strategy                                                           Use this option:
                                                                                    +   When the source DB query
                                                                                        performance is slow
                                             User Interface                         +   To offload iterative query workload
                                                                                        from the source DB
                                                                                    +   To work offline from the network
                                                                                    +   To keep an archive of the data




                                                                                                                  5
資料探索(Data Discovery)
                   OLD BI (傳統商業智慧)                 NEW BI (資料導向)
 Key Buyers                  IT                      Business users

                    Megavendors; OSS BI;       Data discovery; SaaS, small
Main Sellers
                 large independent vendors       independent vendors

                         Top down;                    Bottom up;
                        IT modeled               business user mapped
  Approach
                     (semantic layers);               (mash up);
                 query existing repositories          move data

                          Reports;
User Interface                                        Visualization
                   KPIs; Dashboard/grid

  Use Case         Monitoring, reporting                Analysis
Deployed by             Consultants                  Business users



                                                                             6
Tableau          Hadoop Reference
1. eBay

2. Facebook

3. Wells Fargo

4. Macy’s




                                    7
適用行業對象
               網際網路       資訊




醫療保健   媒體、娛樂   消費品       運輸、物流




        保險




                                 8
零售/流通/一般製造業   金融業




   高科技業       政府機關
                     9
財務綜合分析      預算/銷售預測模分析追蹤




銷售/成本分析追蹤     銷售人員管理
                           10
Tableau               功能/特色/效益
• Easy-to-use, intuitive interactive BI tools
• Interactive visualization for analysis, dashboard,
  information delivery & managed analytic application
• Zero programming data mash-up capability
• In-memory database, Column store same with Hadoop
  design
• Auto-detect relationships between multiple sources
• No product issue in broader deployment
• Mobile deployment capability


                                                        11
12
如果您只記得 3 件事
1. 直接連結Hadoop Hive (使用原有驅動程式)
   Native Connect to Hadoop Hive

2. 視覺化互動分析
   Intuitive Interactive Visualization

3. 自助式服務, 資料探索
   Self-Service, Data Discovery




                                         13

More Related Content

What's hot

Data Warehousing 2016
Data Warehousing 2016Data Warehousing 2016
Data Warehousing 2016Kent Graziano
 
Big Data and Data Virtualization
Big Data and Data VirtualizationBig Data and Data Virtualization
Big Data and Data VirtualizationKenneth Peeples
 
Future of Data - Big Data
Future of Data - Big DataFuture of Data - Big Data
Future of Data - Big DataShankar R
 
Core concepts and Key technologies - Big Data Analytics
Core concepts and Key technologies - Big Data AnalyticsCore concepts and Key technologies - Big Data Analytics
Core concepts and Key technologies - Big Data AnalyticsKaniska Mandal
 
Big Data: Technical Introduction to BigSheets for InfoSphere BigInsights
Big Data:  Technical Introduction to BigSheets for InfoSphere BigInsightsBig Data:  Technical Introduction to BigSheets for InfoSphere BigInsights
Big Data: Technical Introduction to BigSheets for InfoSphere BigInsightsCynthia Saracco
 
Structuring Big Data
Structuring Big DataStructuring Big Data
Structuring Big DataFujitsu UK
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroDenodo
 
Big Data Analytics with Hadoop
Big Data Analytics with HadoopBig Data Analytics with Hadoop
Big Data Analytics with HadoopPhilippe Julio
 
Agile Data Rationalization for Operational Intelligence
Agile Data Rationalization for Operational IntelligenceAgile Data Rationalization for Operational Intelligence
Agile Data Rationalization for Operational IntelligenceInside Analysis
 
Big data presentation
Big data presentationBig data presentation
Big data presentationChinh Vo Wili
 
Logical Data Warehouse and Data Lakes
Logical Data Warehouse and Data Lakes Logical Data Warehouse and Data Lakes
Logical Data Warehouse and Data Lakes Denodo
 
Enterprise Architecture in the Era of Big Data and Quantum Computing
Enterprise Architecture in the Era of Big Data and Quantum ComputingEnterprise Architecture in the Era of Big Data and Quantum Computing
Enterprise Architecture in the Era of Big Data and Quantum ComputingKnowledgent
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationDenodo
 
Hadoop - An Introduction
Hadoop - An IntroductionHadoop - An Introduction
Hadoop - An IntroductionShankar R
 
Big data, map reduce and beyond
Big data, map reduce and beyondBig data, map reduce and beyond
Big data, map reduce and beyonddatasalt
 
Introduction to Big Data Hadoop Training Online by www.itjobzone.biz
Introduction to Big Data Hadoop Training Online by www.itjobzone.bizIntroduction to Big Data Hadoop Training Online by www.itjobzone.biz
Introduction to Big Data Hadoop Training Online by www.itjobzone.bizITJobZone.biz
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
 

What's hot (20)

Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
Data Warehousing 2016
Data Warehousing 2016Data Warehousing 2016
Data Warehousing 2016
 
Big Data and Data Virtualization
Big Data and Data VirtualizationBig Data and Data Virtualization
Big Data and Data Virtualization
 
Future of Data - Big Data
Future of Data - Big DataFuture of Data - Big Data
Future of Data - Big Data
 
Core concepts and Key technologies - Big Data Analytics
Core concepts and Key technologies - Big Data AnalyticsCore concepts and Key technologies - Big Data Analytics
Core concepts and Key technologies - Big Data Analytics
 
Big Data: Technical Introduction to BigSheets for InfoSphere BigInsights
Big Data:  Technical Introduction to BigSheets for InfoSphere BigInsightsBig Data:  Technical Introduction to BigSheets for InfoSphere BigInsights
Big Data: Technical Introduction to BigSheets for InfoSphere BigInsights
 
Structuring Big Data
Structuring Big DataStructuring Big Data
Structuring Big Data
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
 
Big Data Analytics with Hadoop
Big Data Analytics with HadoopBig Data Analytics with Hadoop
Big Data Analytics with Hadoop
 
Agile Data Rationalization for Operational Intelligence
Agile Data Rationalization for Operational IntelligenceAgile Data Rationalization for Operational Intelligence
Agile Data Rationalization for Operational Intelligence
 
Big Data Tech Stack
Big Data Tech StackBig Data Tech Stack
Big Data Tech Stack
 
BigData Hadoop
BigData Hadoop BigData Hadoop
BigData Hadoop
 
Big data presentation
Big data presentationBig data presentation
Big data presentation
 
Logical Data Warehouse and Data Lakes
Logical Data Warehouse and Data Lakes Logical Data Warehouse and Data Lakes
Logical Data Warehouse and Data Lakes
 
Enterprise Architecture in the Era of Big Data and Quantum Computing
Enterprise Architecture in the Era of Big Data and Quantum ComputingEnterprise Architecture in the Era of Big Data and Quantum Computing
Enterprise Architecture in the Era of Big Data and Quantum Computing
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
 
Hadoop - An Introduction
Hadoop - An IntroductionHadoop - An Introduction
Hadoop - An Introduction
 
Big data, map reduce and beyond
Big data, map reduce and beyondBig data, map reduce and beyond
Big data, map reduce and beyond
 
Introduction to Big Data Hadoop Training Online by www.itjobzone.biz
Introduction to Big Data Hadoop Training Online by www.itjobzone.bizIntroduction to Big Data Hadoop Training Online by www.itjobzone.biz
Introduction to Big Data Hadoop Training Online by www.itjobzone.biz
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
 

Similar to Big Data 視覺化分析解決方案

Tableau 7.0 prsentation
Tableau 7.0 prsentationTableau 7.0 prsentation
Tableau 7.0 prsentationinam_slides
 
Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)
Ibm big data    hadoop summit 2012 james kobielus final 6-13-12(1)Ibm big data    hadoop summit 2012 james kobielus final 6-13-12(1)
Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)Ajay Ohri
 
Anexinet Big Data Solutions
Anexinet Big Data SolutionsAnexinet Big Data Solutions
Anexinet Big Data SolutionsMark Kromer
 
Introducing the Big Data Ecosystem with Caserta Concepts & Talend
Introducing the Big Data Ecosystem with Caserta Concepts & TalendIntroducing the Big Data Ecosystem with Caserta Concepts & Talend
Introducing the Big Data Ecosystem with Caserta Concepts & TalendCaserta
 
Ibm big data ibm marriage of hadoop and data warehousing
Ibm big dataibm marriage of hadoop and data warehousingIbm big dataibm marriage of hadoop and data warehousing
Ibm big data ibm marriage of hadoop and data warehousing DataWorks Summit
 
Mind Blowing Business Intelligence Dashboards
Mind Blowing Business Intelligence DashboardsMind Blowing Business Intelligence Dashboards
Mind Blowing Business Intelligence DashboardsUnilytics
 
Simplifying Big Data Analytics for the Business
Simplifying Big Data Analytics for the BusinessSimplifying Big Data Analytics for the Business
Simplifying Big Data Analytics for the BusinessTeradata Aster
 
Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Cana Ko
 
IBM Big Data Platform, 2012
IBM Big Data Platform, 2012IBM Big Data Platform, 2012
IBM Big Data Platform, 2012Rob Thomas
 
Big data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You WantBig data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You WantStuart Miniman
 
Enabling Flexible Governance for All Data Sources
Enabling Flexible Governance for All Data SourcesEnabling Flexible Governance for All Data Sources
Enabling Flexible Governance for All Data SourcesInside Analysis
 
Business Intelligence and Data Analytics Revolutionized with Apache Hadoop
Business Intelligence and Data Analytics Revolutionized with Apache HadoopBusiness Intelligence and Data Analytics Revolutionized with Apache Hadoop
Business Intelligence and Data Analytics Revolutionized with Apache HadoopCloudera, Inc.
 
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...Amr Awadallah
 
Apache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingApache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingm_hepburn
 
Software architecture & design patterns for MS CRM Developers
Software architecture & design patterns for MS CRM  Developers Software architecture & design patterns for MS CRM  Developers
Software architecture & design patterns for MS CRM Developers sebedatalabs
 
All Grown Up: Maturation of Analytics in the Cloud
All Grown Up: Maturation of Analytics in the CloudAll Grown Up: Maturation of Analytics in the Cloud
All Grown Up: Maturation of Analytics in the CloudInside Analysis
 

Similar to Big Data 視覺化分析解決方案 (20)

Tableau 7.0 prsentation
Tableau 7.0 prsentationTableau 7.0 prsentation
Tableau 7.0 prsentation
 
Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)
Ibm big data    hadoop summit 2012 james kobielus final 6-13-12(1)Ibm big data    hadoop summit 2012 james kobielus final 6-13-12(1)
Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)
 
Anexinet Big Data Solutions
Anexinet Big Data SolutionsAnexinet Big Data Solutions
Anexinet Big Data Solutions
 
Introducing the Big Data Ecosystem with Caserta Concepts & Talend
Introducing the Big Data Ecosystem with Caserta Concepts & TalendIntroducing the Big Data Ecosystem with Caserta Concepts & Talend
Introducing the Big Data Ecosystem with Caserta Concepts & Talend
 
Ibm big data ibm marriage of hadoop and data warehousing
Ibm big dataibm marriage of hadoop and data warehousingIbm big dataibm marriage of hadoop and data warehousing
Ibm big data ibm marriage of hadoop and data warehousing
 
Kurukshetra - Big Data
Kurukshetra - Big DataKurukshetra - Big Data
Kurukshetra - Big Data
 
Mind Blowing Business Intelligence Dashboards
Mind Blowing Business Intelligence DashboardsMind Blowing Business Intelligence Dashboards
Mind Blowing Business Intelligence Dashboards
 
The New Enterprise Data Platform
The New Enterprise Data PlatformThe New Enterprise Data Platform
The New Enterprise Data Platform
 
Simplifying Big Data Analytics for the Business
Simplifying Big Data Analytics for the BusinessSimplifying Big Data Analytics for the Business
Simplifying Big Data Analytics for the Business
 
Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831
 
IBM Big Data Platform, 2012
IBM Big Data Platform, 2012IBM Big Data Platform, 2012
IBM Big Data Platform, 2012
 
Big data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You WantBig data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You Want
 
Secure Big Data Analytics - Hadoop & Intel
Secure Big Data Analytics - Hadoop & IntelSecure Big Data Analytics - Hadoop & Intel
Secure Big Data Analytics - Hadoop & Intel
 
Enabling Flexible Governance for All Data Sources
Enabling Flexible Governance for All Data SourcesEnabling Flexible Governance for All Data Sources
Enabling Flexible Governance for All Data Sources
 
Business Intelligence and Data Analytics Revolutionized with Apache Hadoop
Business Intelligence and Data Analytics Revolutionized with Apache HadoopBusiness Intelligence and Data Analytics Revolutionized with Apache Hadoop
Business Intelligence and Data Analytics Revolutionized with Apache Hadoop
 
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...
How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...
 
Apache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingApache hadoop bigdata-in-banking
Apache hadoop bigdata-in-banking
 
Software architecture & design patterns for MS CRM Developers
Software architecture & design patterns for MS CRM  Developers Software architecture & design patterns for MS CRM  Developers
Software architecture & design patterns for MS CRM Developers
 
All Grown Up: Maturation of Analytics in the Cloud
All Grown Up: Maturation of Analytics in the CloudAll Grown Up: Maturation of Analytics in the Cloud
All Grown Up: Maturation of Analytics in the Cloud
 
Pass bac jd_sm
Pass bac jd_smPass bac jd_sm
Pass bac jd_sm
 

More from Etu Solution

終歸:分群消費者x多元商機的實現
終歸:分群消費者x多元商機的實現終歸:分群消費者x多元商機的實現
終歸:分群消費者x多元商機的實現Etu Solution
 
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界Etu Solution
 
猜你喜歡:虛實並進,贏在全通路
猜你喜歡:虛實並進,贏在全通路猜你喜歡:虛實並進,贏在全通路
猜你喜歡:虛實並進,贏在全通路Etu Solution
 
投客所好:互聯內外,啟動投信藍海數據戰
投客所好:互聯內外,啟動投信藍海數據戰投客所好:互聯內外,啟動投信藍海數據戰
投客所好:互聯內外,啟動投信藍海數據戰Etu Solution
 
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡Etu Solution
 
啟程:Data Technology 的待客之道
啟程:Data Technology 的待客之道啟程:Data Technology 的待客之道
啟程:Data Technology 的待客之道Etu Solution
 
Track C-1 大數據時代的產品 ─ 創新與洞察決策
Track C-1 大數據時代的產品 ─ 創新與洞察決策Track C-1 大數據時代的產品 ─ 創新與洞察決策
Track C-1 大數據時代的產品 ─ 創新與洞察決策Etu Solution
 
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷Etu Solution
 
Track C-2 洞見未來 - Tableau 創造大數據新價值
Track C-2 洞見未來 - Tableau 創造大數據新價值Track C-2 洞見未來 - Tableau 創造大數據新價值
Track C-2 洞見未來 - Tableau 創造大數據新價值Etu Solution
 
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃Etu Solution
 
Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台Etu Solution
 
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構Etu Solution
 
Track A-2 基於 Spark 的數據分析
Track A-2 基於 Spark 的數據分析Track A-2 基於 Spark 的數據分析
Track A-2 基於 Spark 的數據分析Etu Solution
 
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告Track A-1: Cloudera 大數據產品和技術最前沿資訊報告
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告Etu Solution
 
Data without Boundaries - 圍繞第一方數據,找到商業驅動力
Data without Boundaries - 圍繞第一方數據,找到商業驅動力Data without Boundaries - 圍繞第一方數據,找到商業驅動力
Data without Boundaries - 圍繞第一方數據,找到商業驅動力Etu Solution
 
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享Etu Solution
 
Cloudera 助力台灣大數據產業的發展
Cloudera 助力台灣大數據產業的發展Cloudera 助力台灣大數據產業的發展
Cloudera 助力台灣大數據產業的發展Etu Solution
 
Data Leaders in Action - 資料價值領袖風範與關鍵行動
Data Leaders in Action - 資料價值領袖風範與關鍵行動Data Leaders in Action - 資料價值領袖風範與關鍵行動
Data Leaders in Action - 資料價值領袖風範與關鍵行動Etu Solution
 
Opening: Big Data+
Opening: Big Data+Opening: Big Data+
Opening: Big Data+Etu Solution
 
數位媒體的客戶洞察行銷術
數位媒體的客戶洞察行銷術數位媒體的客戶洞察行銷術
數位媒體的客戶洞察行銷術Etu Solution
 

More from Etu Solution (20)

終歸:分群消費者x多元商機的實現
終歸:分群消費者x多元商機的實現終歸:分群消費者x多元商機的實現
終歸:分群消費者x多元商機的實現
 
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界
歡迎回來:全面圖譜,金融 3.0 顧客行銷新視界
 
猜你喜歡:虛實並進,贏在全通路
猜你喜歡:虛實並進,贏在全通路猜你喜歡:虛實並進,贏在全通路
猜你喜歡:虛實並進,贏在全通路
 
投客所好:互聯內外,啟動投信藍海數據戰
投客所好:互聯內外,啟動投信藍海數據戰投客所好:互聯內外,啟動投信藍海數據戰
投客所好:互聯內外,啟動投信藍海數據戰
 
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡
 
啟程:Data Technology 的待客之道
啟程:Data Technology 的待客之道啟程:Data Technology 的待客之道
啟程:Data Technology 的待客之道
 
Track C-1 大數據時代的產品 ─ 創新與洞察決策
Track C-1 大數據時代的產品 ─ 創新與洞察決策Track C-1 大數據時代的產品 ─ 創新與洞察決策
Track C-1 大數據時代的產品 ─ 創新與洞察決策
 
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷
Track C-3 Let's Play Marketing - 瘋創意 玩推薦 就該這樣搞行銷
 
Track C-2 洞見未來 - Tableau 創造大數據新價值
Track C-2 洞見未來 - Tableau 創造大數據新價值Track C-2 洞見未來 - Tableau 創造大數據新價值
Track C-2 洞見未來 - Tableau 創造大數據新價值
 
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃
Track B-3 解構大數據架構 - 大數據系統的伺服器與網路資源規劃
 
Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台
 
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構
Track A-3 Enterprise Data Lake in Action - 搭建「活」的企業 Big Data 生態架構
 
Track A-2 基於 Spark 的數據分析
Track A-2 基於 Spark 的數據分析Track A-2 基於 Spark 的數據分析
Track A-2 基於 Spark 的數據分析
 
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告Track A-1: Cloudera 大數據產品和技術最前沿資訊報告
Track A-1: Cloudera 大數據產品和技術最前沿資訊報告
 
Data without Boundaries - 圍繞第一方數據,找到商業驅動力
Data without Boundaries - 圍繞第一方數據,找到商業驅動力Data without Boundaries - 圍繞第一方數據,找到商業驅動力
Data without Boundaries - 圍繞第一方數據,找到商業驅動力
 
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享
Big Data Tornado - 2015 台灣 Big Data 企業經典應用案例分享
 
Cloudera 助力台灣大數據產業的發展
Cloudera 助力台灣大數據產業的發展Cloudera 助力台灣大數據產業的發展
Cloudera 助力台灣大數據產業的發展
 
Data Leaders in Action - 資料價值領袖風範與關鍵行動
Data Leaders in Action - 資料價值領袖風範與關鍵行動Data Leaders in Action - 資料價值領袖風範與關鍵行動
Data Leaders in Action - 資料價值領袖風範與關鍵行動
 
Opening: Big Data+
Opening: Big Data+Opening: Big Data+
Opening: Big Data+
 
數位媒體的客戶洞察行銷術
數位媒體的客戶洞察行銷術數位媒體的客戶洞察行銷術
數位媒體的客戶洞察行銷術
 

Recently uploaded

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 

Recently uploaded (20)

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 

Big Data 視覺化分析解決方案

  • 1. Big Data 視覺化分析解決方案 樺鼎商業資訊股份有限公司 Perform Global Inc. 資深顧問 董宗翰 Don Tung Dec. 20, 2012
  • 2. PGi – Perform Global (樺鼎商業資訊) • An integrated solution provider for enterprise performance management and decision support. 協助企業建構最具戰鬥力的營運績效管理及決策分析解決方案, 以面對多變的市場挑戰。 2
  • 3. Tableau • 靈活運用Etu Hadoop的資料與分析成為最有價值的商業智慧 • 無需建置複雜的DW或Cube,即可隨時直接分析來自Etu Hadoop 的資料 • 彈指間輕鬆完成視覺化的資料分析與探索,呈現即時、互動的儀表板 • 讓儲存於Etu Hadoop中的Big Data,瞬間被活化成為公司最夯的 商業智慧來源,協助策略方向的制定與判斷 3
  • 4. 4
  • 5. 系統架構 Data Data Marts Warehouse Files Cubes Tableau Data Engine Technology Tableau Native Query Technology SQL MDX Data Engine + Interactive queries to the + Highly compressed Connector Connector database + Optimized API specific for + Leverages IT policies for Tableau security + 64-bit (32-bit version as + Avoids data silos well) + Ensures fresh data results + Values the EDW strategy Use this option: + When the source DB query performance is slow User Interface + To offload iterative query workload from the source DB + To work offline from the network + To keep an archive of the data 5
  • 6. 資料探索(Data Discovery) OLD BI (傳統商業智慧) NEW BI (資料導向) Key Buyers IT Business users Megavendors; OSS BI; Data discovery; SaaS, small Main Sellers large independent vendors independent vendors Top down; Bottom up; IT modeled business user mapped Approach (semantic layers); (mash up); query existing repositories move data Reports; User Interface Visualization KPIs; Dashboard/grid Use Case Monitoring, reporting Analysis Deployed by Consultants Business users 6
  • 7. Tableau Hadoop Reference 1. eBay 2. Facebook 3. Wells Fargo 4. Macy’s 7
  • 8. 適用行業對象 網際網路 資訊 醫療保健 媒體、娛樂 消費品 運輸、物流 保險 8
  • 9. 零售/流通/一般製造業 金融業 高科技業 政府機關 9
  • 10. 財務綜合分析 預算/銷售預測模分析追蹤 銷售/成本分析追蹤 銷售人員管理 10
  • 11. Tableau 功能/特色/效益 • Easy-to-use, intuitive interactive BI tools • Interactive visualization for analysis, dashboard, information delivery & managed analytic application • Zero programming data mash-up capability • In-memory database, Column store same with Hadoop design • Auto-detect relationships between multiple sources • No product issue in broader deployment • Mobile deployment capability 11
  • 12. 12
  • 13. 如果您只記得 3 件事 1. 直接連結Hadoop Hive (使用原有驅動程式) Native Connect to Hadoop Hive 2. 視覺化互動分析 Intuitive Interactive Visualization 3. 自助式服務, 資料探索 Self-Service, Data Discovery 13