Modeling Big Data with the ArchiMate 3.0 Language

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Modeling Big Data with the ArchiMate 3.0 Language

Iver BandOpen Group Conference, Austin, TexasJuly 19, 2016

© 2016 Cambia Health Solutions, Inc.

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Agenda•Background•A Foundation for Modeling Big Data Architectures•Fitness Tracker Analytics Case Study•Conclusion


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BACKGROUND


44 © 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

[email protected]

http://www.linkedin.com/in/iverpdx

http://www.cambiahealth.com/http://www.twitter.com/iverband

http://slideshare.net/iverband

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About Cambia

22 companiesand growing


A tax-paying nonprofit headquartered in

the Pacific Northwest

Nationally recognized: Top 100 Healthiest

Workplaces

5,300 employeesin 30 states

100 million people touched nationwide


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Cambia Health Solutions


SeniorServices

HealthInsurance

RetailEnablement

ProviderEnablement

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A FOUNDATION FOR MODELING BIG DATA ARCHITECTURES


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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


Adapted from NIST SP1500-1 Big Data Interoperability Framework: Volume 1: Definitions

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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


*January 26, 2016 press release. http://www.gartner.com/newsroom/id/3190117

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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


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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


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The ArchiMate 3 Framework


Strategy

Implementation& migration

Physical

Application

Technology

Business

MotivationPassivestructure

Behavior Activestructure

Aspects

Laye

rs

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Correspondence Between the ArchiMate 3 Framework and the TOGAF Architecture Development Method


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NIST Big Data Interoperability Framework

• Product of working group “to develop consensus on important, fundamental concepts related to big data”

• Three versions1. Reference architecture key components

(published)

2. Interfaces between components (planned)

3. Validation with apps that interoperate through interfaces (planned)

• First version has seven volumes1. Definitions

2. Taxonomies

3. Use Cases and General Requirements

4. Security and privacy

5. Architectures White Paper Survey

6. Reference Architecture

7. Standards Roadmap


From NIST SP1500-1 Big Data Interoperability Framework: Volume 1: Definitions

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NIST Big Data Reference Architecture (NBDRA)From NIST SP1500-1 Big Data Interoper-ability Framework: Volume 6: Reference Architecture

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NBDRA Overview:Roles and Capabilities


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NBDRA Big DataFramework Capabilities with Resources


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FITNESS TRACKER ANALYTICS CASE STUDY


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Fitness Tracker Analytics Motivations


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Fitness Tracker Analytics Project Assignments to NBDRA Roles


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Fitness Tracker Analytics Data Processing


2323© 2016 Cambia Health Solutions, Inc.

Introduction to MapReduce

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Claims Data Processing with MapReduce


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Claims Data Processing TechnologyWith ResourceRealization


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Fitness Tracker Analytics Implementation & Migration


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CONCLUSION


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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



References

• ArchiMate Language www.opengroup.org/archimate • NIST Big Data Reference Architecture http://www.nist.gov/itl/bigdata/bigdatainfo.cfm• Speaker [email protected]• More presentations like this http://slideshare.net/iverband