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Big Data Reference Model

2013-11-15 ISO/IEC JTC1/SC32/WG2N1853. Big Data Reference Model. Sungjoon Lim, KoDB *, joon@kodb.or.kr Dongwon Jeong , KNU**, djeong@kunsan.ac.kr Jangwon Gim , KISTI ***, jangwon@kisti.re.kr Hanmin Jung , KISTI , jhm@kisti.re.kr. *Korea Database Agency

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Big Data Reference Model

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  1. 2013-11-15 ISO/IEC JTC1/SC32/WG2N1853 Big Data Reference Model Sungjoon Lim, KoDB*, joon@kodb.or.kr DongwonJeong, KNU**, djeong@kunsan.ac.kr JangwonGim, KISTI***, jangwon@kisti.re.kr Hanmin Jung , KISTI, jhm@kisti.re.kr *Korea Database Agency **KunsanNational University ***Korea Institute of Science and Technology Information

  2. Contents • Brief History of discussions • 32N2386 Reference Model for Big Data • Concept for Big Data Reference model • Uses of the Big Data reference model • Possible Structure of parts • Issues

  3. Brief History of discussions

  4. Procedure for developing a reference model for Big Data 32N2386-Reference Model for Big Data We are here

  5. A lifecycle of Big Data 32N2386-Reference Model for Big Data • Collection/Identification • Repository/Registry • Semantic Intellectualization • Integration • Analytics / Prediction 1. 2. • Visualization Data Insight Big Data Action Decision 3. 4. • Data Curation • Data Scientist • Data Engineer • Workflow • Data Quality

  6. Reference Model for Big Data 32N2386-Reference Model for Big Data • A Reference Model for Big Data Service Layer Big Data Management Analysis & Prediction Interface Workflow Management Data Quality Management Data Visualization Service Support Layer Data Curation Interface Platform Layer Data Integration Security Data Semantic Intellectualization Interface Data Layer Data Identification (Data Mining & Metadata Extraction) Data Collection Data Registry Data Repository

  7. Reference Model for Big Data 32N2386-Reference Model for Big Data • A Reference Model for Big Data ??? 19763 Service Layer Big Data Management Analysis & Prediction Interface Workflow Management Data Quality Management Data Visualization Service Support Layer Data Curation Interface Platform Layer Data Integration Security Data Semantic Intellectualization 13249 Interface Data Layer 9075 Data Identification (Data Mining & Metadata Extraction) Data Collection Data Registry Data Repository 11179

  8. Concept for Big Data Reference model • Reference model might cover whole processes of Big Data from planning to discovering • Reference model is not just for harvesting other standards, it might be able to be implemented by user requirement as Big Data services and technologies Planning Operation and Management Preprocessing Analysis Visualization Sensor SNS CustomerInfo. Log Big Data Reference Model Weather User Requirement Big Data discovery … PurchaseInfo. Big DataService& Technology

  9. Concept for Big Data Reference model Planning Reference Model Governance Reference Model Planning Operation and Management Preprocessing Analysis Visualization Technical Reference Model

  10. Concept for Big Data Reference model Planning Reference Model Governance Reference Model Project definition System Operation Preprocessing Analysis planning Capacity management Analysis Visualization • Analysis Achievement Management Security management Technical Reference Model Analysis goal setup Collection Service & performance analysis Requirement Analysis priority setup • System Capacity planning Visualization planning • Achievement • Management planning setup • Account and authority management       • Visualization modeling Log analysis • Achievement indicator definition DB performance analysis Analysis object deduction Saving • DB Capacity planning Modeling • roadmap setup by Phase Governance system management extraction Analysis scenario definition Analysis governance setup • Data Center Capacity planning Validation and testing Performance measurement • Visualization designing integration Business transaction process management Management tool Application Visualization setup

  11. Uses of the Big Data reference model • To enhance Big Data industry, Big Data reference model can be a guideline for Big Data consultation services and development solutions Big Data industry Big Data Reference model Big Data Consultations & Solutions Guidance Input Stakeholder’s requirement (data provider, data creator, data analyzer, Service provider, service user, and so on)

  12. Possible Structure of parts • Part 1 Overview • Part 2 Planning Reference Model • Part 3 Governance Reference Model • Part 4 Technical Reference Model Overview Part1 Part3 Planning Reference Model Governance Reference Model Part2 Part4 Technical Reference Model

  13. Issues • How can WG2 contribute to Big Data Standardization?

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