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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
Agenda
•Background
•A Foundation for Modeling Big Data Architectures
•Fitness Tracker Analytics Case Study
•Conclusion
© 2016 Cambia Health Solutions, Inc.
3
3
BACKGROUND
© 2016 Cambia Health Solutions, Inc.
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
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
66 © 2016 Cambia Health Solutions, Inc.
77
Cambia Health Solutions
© 2016 Cambia Health Solutions, Inc.
Senior
Services
Health
Insurance
Retail
Enablement
Provider
Enablement
8
8
A FOUNDATION FOR MODELING
BIG DATA ARCHITECTURES
© 2016 Cambia Health Solutions, Inc.
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
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
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
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
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
Correspondence
Between the
ArchiMate 3
Framework and the
TOGAF
Architecture
Development
Method
© 2016 Cambia Health Solutions, Inc.
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
1616
NIST Big Data Reference Architecture (NBDRA)
From NIST
SP1500-1
Big Data
Interoper-
ability
Framework:
Volume 6:
Reference
Architecture
17
17
NBDRA
Overview:
Roles and
Capabilities
© 2016 Cambia Health Solutions, Inc.
18
18
NBDRA Big Data
Framework
Capabilities with
Resources
© 2016 Cambia Health Solutions, Inc.
19
19
FITNESS TRACKER ANALYTICS
CASE STUDY
© 2016 Cambia Health Solutions, Inc.
20
20
Fitness Tracker
Analytics
Motivations
© 2016 Cambia Health Solutions, Inc.
21
21
Fitness
Tracker
Analytics
Project
Assignments
to NBDRA
Roles
© 2016 Cambia Health Solutions, Inc.
22
22
Fitness Tracker Analytics Data Processing
© 2016 Cambia Health Solutions, Inc.
23
23
© 2016 Cambia Health Solutions, Inc.
Introduction to
MapReduce
24
24
Claims Data Processing with MapReduce
© 2016 Cambia Health Solutions, Inc.
25
25
Claims Data
Processing
Technology
With Resource
Realization
© 2016 Cambia Health Solutions, Inc.
26
26
Fitness Tracker Analytics Implementation & Migration
© 2016 Cambia Health Solutions, Inc.
27
27
CONCLUSION
© 2016 Cambia Health Solutions, Inc.
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 © 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

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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
  • 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.
  • 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.
  • 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