Modeling Big Data with the ArchiMate 3.0 Language
•
19 likes•7,718 views
Health care enterprises use big data methods and technologies to gain insights for improving the efficacy, efficiency, and accessibility of their services. Effective big data initiatives require shared understanding among diverse stakeholders of business challenges and the often complex architectures required to address them. Enterprise and solution architects can use the ArchiMate language to build this understanding with compelling visual models. This presentation introduces the ArchiMate 3.0 language, and uses it to explore the US National Institute of Standards and Technology (NIST) Big Data Reference Architecture (NBDRA), and to present a health care case study based on the NBDRA. Participants will learn how to use the ArchiMate 3.0 language, in alignment with the TOGAF framework, to propose, justify and plan big data initiatives, and to guide their successful implementation.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (15)
Similar to Modeling Big Data with the ArchiMate 3.0 Language
Similar to Modeling Big Data with the ArchiMate 3.0 Language (20)
More from Iver Band
More from Iver Band (20)
Recently uploaded
Recently uploaded (20)
Modeling Big Data with the ArchiMate 3.0 Language
- 1. 1 Modeling Big Data with the ArchiMate 3.0 Language Iver Band Open Group Conference, Austin, Texas July 19, 2016 © 2016 Cambia Health Solutions, Inc.
- 2. 2 2 Agenda •Background •A Foundation for Modeling Big Data Architectures •Fitness Tracker Analytics Case Study •Conclusion © 2016 Cambia Health Solutions, Inc.
- 3. 3 3 BACKGROUND © 2016 Cambia Health Solutions, Inc.
- 4. 4 4 © 2016 Cambia Health Solutions, Inc. Iver Band • Enterprise Architect at Cambia Health Solutions • Consumer and group data, web services architecture • Architecture methods and tools • Vice Chair, Open Group ArchiMate Forum • ArchiMate 3.0 standard and related white papers • TOGAF and ArchiMate certified, CISSP, AHIP Certified IT Professional, Certified Information Professional • ArchiMate user since 2010 iver.band@cambiahealth.com http://www.linkedin.com/in/iverpdx http://www.cambiahealth.com/ http://www.twitter.com/iverband http://slideshare.net/iverband
- 5. 55 About Cambia 22 companies and growing © 2016 Cambia Health Solutions, Inc. A tax-paying nonprofit headquartered in the Pacific Northwest Nationally recognized: Top 100 Healthiest Workplaces 5,300 employees in 30 states 100 million people touched nationwide
- 6. 66 © 2016 Cambia Health Solutions, Inc.
- 7. 77 Cambia Health Solutions © 2016 Cambia Health Solutions, Inc. Senior Services Health Insurance Retail Enablement Provider Enablement
- 8. 8 8 A FOUNDATION FOR MODELING BIG DATA ARCHITECTURES © 2016 Cambia Health Solutions, Inc.
- 9. 9 9 What is Big Data? • Consists of datasets that cannot be handled efficiently with traditional data architecture. • These datasets have extensive • Volume – Size of dataset • Variety – Multiple repositories, domains, or types • Velocity – Rate of flow • Variability – Rate of change in other characteristics • These characteristics require a scalable architecture for efficient, storage, manipulation and analysis © 2016 Cambia Health Solutions, Inc. Adapted from NIST SP1500-1 Big Data Interoperability Framework: Volume 1: Definitions
- 10. 10 10 Why is Big Data Important to All Enterprise and Solution Architects in Healthcare? • Social, mobile, analytics, cloud, and Internet of Things technologies, including connected health devices (CHDs), produce huge volumes of data and enable continuous analysis • Health Care organizations gather data from sources such as electronic medical records, payer systems, and CHDs. • Health Care organizations derive insights from data to make their services more effective, efficient and accessible. • Gartner estimates that 90% of large organizations will have a chief data officer by 2019* • Therefore, Health Care Enterprise and Solution Architects need to consider building or integrating Big Data capabilities throughout their work © 2016 Cambia Health Solutions, Inc. *January 26, 2016 press release. http://www.gartner.com/newsroom/id/3190117
- 11. 11 11 Why Are Standardized Architectural Frameworks Important to Big Data? •Big Data solutions • Combine theory, technologies, and methods from multiple fields • Combine data from multiple parts of the enterprise • Impact a wide range of disciplines • Require interoperability across multiple organizations © 2016 Cambia Health Solutions, Inc.
- 12. 12 12 What Does the ArchiMate Standard Provide? • A language with concepts to describe architectures • A framework to organize these concepts • A graphical notation for these concepts • Guidance on visualizations for different stakeholders • An open standard maintained by The Open Group © 2016 Cambia Health Solutions, Inc.
- 13. 13 13 The ArchiMate 3 Framework © 2016 Cambia Health Solutions, Inc. Strategy Implementation & migration Physical Application Technology Business MotivationPassive structure Behavior Active structure Aspects Layers
- 14. 14 14 Correspondence Between the ArchiMate 3 Framework and the TOGAF Architecture Development Method © 2016 Cambia Health Solutions, Inc.
- 15. 15 15 NIST Big Data Interoperability Framework • Product of working group “to develop consensus on important, fundamental concepts related to big data” • Three versions 1. Reference architecture key components (published) 2. Interfaces between components (planned) 3. Validation with apps that interoperate through interfaces (planned) • First version has seven volumes 1. Definitions 2. Taxonomies 3. Use Cases and General Requirements 4. Security and privacy 5. Architectures White Paper Survey 6. Reference Architecture 7. Standards Roadmap © 2016 Cambia Health Solutions, Inc. From NIST SP1500-1 Big Data Interoperability Framework: Volume 1: Definitions
- 16. 1616 NIST Big Data Reference Architecture (NBDRA) From NIST SP1500-1 Big Data Interoper- ability Framework: Volume 6: Reference Architecture
- 17. 17 17 NBDRA Overview: Roles and Capabilities © 2016 Cambia Health Solutions, Inc.
- 18. 18 18 NBDRA Big Data Framework Capabilities with Resources © 2016 Cambia Health Solutions, Inc.
- 19. 19 19 FITNESS TRACKER ANALYTICS CASE STUDY © 2016 Cambia Health Solutions, Inc.
- 20. 20 20 Fitness Tracker Analytics Motivations © 2016 Cambia Health Solutions, Inc.
- 21. 21 21 Fitness Tracker Analytics Project Assignments to NBDRA Roles © 2016 Cambia Health Solutions, Inc.
- 22. 22 22 Fitness Tracker Analytics Data Processing © 2016 Cambia Health Solutions, Inc.
- 23. 23 23 © 2016 Cambia Health Solutions, Inc. Introduction to MapReduce
- 24. 24 24 Claims Data Processing with MapReduce © 2016 Cambia Health Solutions, Inc.
- 25. 25 25 Claims Data Processing Technology With Resource Realization © 2016 Cambia Health Solutions, Inc.
- 26. 26 26 Fitness Tracker Analytics Implementation & Migration © 2016 Cambia Health Solutions, Inc.
- 27. 27 27 CONCLUSION © 2016 Cambia Health Solutions, Inc.
- 28. 28 28 Conclusion • Big Data challenges are distinguished by the Volume, Velocity, Variety, and Variability of the data that they must handle • All Enterprise Architects should consider including Big Data capabilities in their architectures • The NIST Big Data Reference Architecture provides a common framework for a broad range of Big Data solutions • The ArchiMate language can be used to model Big Data strategies and the solutions that realize them • The ArchiMate 3.0 language, with its new Strategy Elements, additional Application Layer concepts, and increased ability to express complex models, is particularly well suited for Big Data modeling © 2016 Cambia Health Solutions, Inc.
- 29. 29 29 © 2016 Cambia Health Solutions, Inc. References • ArchiMate Language www.opengroup.org/archimate • NIST Big Data Reference Architecture http://www.nist.gov/itl/bigdata/bigdatainfo.cfm • Speaker iver.band@cambiahealth.com • More presentations like this http://slideshare.net/iverband