Architecting the industrial internet : the architect's guide to designing industrial internet solutions / Shyam Nath, Robert Stackowiak, Carla Romano.

Format:

Book

Author/Creator:

Nath, Shyam, author.

Stackowiak, Robert, author.

Romano, Carla, author.

Language:

English

Subjects (All):

Industries--Technological innovations.

Industries.

Internet of things.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Place of Publication:

Birmingham, England : Packt Publishing, 2017.

System Details:

text file

Biography/History:

Stackowiak Robert: Robert Stackowiak is a technology business strategist at the Microsoft Technology Center in Chicago where he gathers business and technical requirements during client briefings and defines Internet of Things and analytics architecture solutions, including those that reside in the Microsoft Azure cloud. He joined Microsoft in 2016 after a 20-year stint at Oracle where he was Executive Director of Big Data in North America. Bob (his nickname) has spoken at industry conferences around the world and co-authored many books on analytics and data management including Big Data and the Internet of Things: Enterprise Architecture for A New Age, published by Apress, five editions of Oracle Essentials, published by O'Reilly Media, Oracle Big Data Handbook, published by Oracle Press, Achieving Extreme Performance with Oracle Exadata, published by Oracle Press, and Oracle Data Warehousing and Business Intelligence Solutions, published by Wiley. You can follow him on Twitter at @rstackow. Romano Carla: Carla Romano is director of development for big data and data warehousing at Oracle, focusing on industry solutions, including the Industry Data Model suite of products for airlines and transportation, telecommunications, retail, and utilities industries. She has an extensive background in Business Intelligence and data management, and is a frequent presenter at Oracle Openworld and the BIWA-SIG conferences. She is also a member of the IIC testbeds committee. She is currently developing utilities for Oracle Big Data Cloud Service. She previously worked at Lockheed Engineering Sciences and Unisys under contracts from NASA. Varan Nath Shyam: Specialist Leader - AI & Analytics, Deloitte

Summary:

Learn the ins and outs of the Industrial Internet of Things through subjects ranging from its history and evolution, right up to what the future holds. About This Book Define solutions that can connect existing systems and newer cloud-based solutions to thousands of thousands of edge devices and industrial machines Identify, define, and justify Industrial Internet of Things (IIoT) projects, and design an application that can connect to and control thousands of machines Leverage the power and features of a platform to monitor, perform analytics, and maintain the Industrial Internet Who This Book Is For Architects who are interested in learning how to define solutions for the Industrial Internet will benefit immensely from this book. Relevant architect roles include enterprise architects, business architects, information architects, cloud solution architects, software architects, and others. The content is also relevant for technically inclined line of business leaders investing in these solutions. What You Will Learn Learn the history of the Industrial Internet and why an architectural approach is needed Define solutions that can connect to and control thousands of edge devices and machines Understand the significance of working with line of business leadership and key metrics to be gathered Connect business requirements to the functional architecture Gain the right expectation as to the capabilities of Industrial Internet applications and how to assess them Understand what data and analytics components should be included in your architecture solution Understand deployment trade-offs, management and security considerations, and the impact of emerging technologies In Detail The Industrial Internet or the IIoT has gained a lot of traction. Many leading companies are driving this revolution by connecting smart edge devices to cloud-based analysis platforms and solving their business challenges in new ways. To ensure a smooth integration of such machines and devices, sound architecture strategies based on accepted principles, best practices, and lessons learned must be applied. This book begins by providing a bird's eye view of what the IIoT is and how the industrial revolution has evolved into embracing this technology. It then describes architectural approaches for success, gathering business requirements, and mapping requirements into functional solutions. In a later chapter, many other potential use cases are introduced including those in manuf...

Contents:

Cover

Copyright

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: The Industrial Internet Revolution

How today's Industrial Internet came about

Earlier generations of the Industrial Revolution

Why is it time for the Industrial Internet?

Challenges to IIoT

The architect's roles and skills

Architectural approaches for success

Reference architectures for the Industrial Internet

The multi-tier&amp

#160

IIoT architecture

A security framework for the Industrial Internet

A connectivity framework for the Industrial Internet

The industrial data analytics framework

Cloud and user experience considerations

Business strategy framework for the Industrial Internet

Summary

Chapter 2: Architectural Approaches for Success

Architectural framework

Architectural viewpoints

Business viewpoint

Security considerations for the business viewpoint

Usage viewpoint

Security considerations for the usage viewpoint

Functional viewpoint

Control domain

Operations domain

Information domain

Application domain

Business domain

Cross-cutting functions and system characteristics

Computational deployment patterns

Security considerations for the functional viewpoint

Implementation viewpoint

Security considerations for the implementation viewpoint

Data and analytics

Data management

Analytics and advanced data processing

Integrability, interoperability, and composability

Connectivity

Intelligent and resilient control

Dynamic composition and automated interoperability

Using PoCs to evaluate design

Scope definition

Business case considerations

Solution definition

Building the PoC

Prototype scale

Evaluate/modify

Production scale

Architecture.

Components

Continuing engineering

Chapter 3: Gathering Business Requirements

Initial business discovery

Getting ready for business discovery

Gathering CSFs

Gathering KPIs

From data sources to KPI delivery

Prioritizing the building of solutions

Building the business case

Components of backend infrastructure cost models

Smart device and networking costs

Estimating implementation costs

Documenting future benefits

Financial justification of our supply chain project

Selling the project

Chapter 4: Mapping Requirements to a Functional Viewpoint

The control domain

Basic edge device capabilities

Smarter edge device configurations

Selecting sensors and edge devices

The supply chain optimization control domain

The operations domain

The information domain

Solving information domain functional requirements

A supply chain optimization information domain

The application domain

Assessing business analysts and user skills

The supply chain optimization application domain

The business domain

DevOps and the agile movement

Agile approaches

Using microservices and containers to speed DevOps

Chapter 5: Assessing Industrial Internet Applications

Architecture patterns for the Industrial Internet

Build versus buy decisions

Asset Performance Management (APM)

Assessing the analytics applications

Descriptive analytics

Diagnostic analytics

Predictive analytics

Prescriptive analytics

Fit gap analysis

Brilliant Manufacturing

Field Service Management (FSM) application

Chapter 6: Defining the Data and Analytics Architecture

Data and analytics requirements and capabilities

Data reduction and analytics

Publish and subscribe

Query

Storage persistence and retrieval

Integration.

Description and presence

Data framework

Rights management

Creating business value

Analytics functionality

Mapping analytics architecture to reference architecture

Advanced analytics

The Lambda architecture and IIoT

Analytics, machine learning, and analyst tools

A process for advanced analytics creation

Machine learning tools

Other analyst tools

Early Industrial Internet applications and historians

The speed layer and field gateways

The batch layer

Data lakes and Hadoop

Graph database

Data warehouses, data marts, and relational databases

Supply chain optimization in the batch layer

Chapter 7: Defining a Deployment Architecture

Current state of deployment architectures for IT systems

Hosted systems and the cloud

Hosted services

Single-tenant hosting

Multi-tenancy

Cloud computing

Public cloud

Private cloud

Hybrid cloud

Billing

Enterprise Resource Planning (ERP)

Considerations for SaaS cloud versus on-premises

Customer Relationship Management (CRM)

Human Resource Management Systems

Data warehousing and big data

Data warehouse and decision support

Management considerations for data warehouse

Big data

Hadoop file systems

Data lakes

Management considerations for data lakes

Big data analytics and data science

Converged infrastructure and engineered systems

Deployment considerations

IIoT constraints

Incremental upgrades

On-premises versus cloud

Consumption models

Analytics capacity considerations

Analytics considerations

Key constraints in analytics architecture design

Design for the edge tier

Networking considerations

Connectivity transport layer

Network layer consideration

Topology&amp

Edge connectivity

Management and support infrastructure

Summary.

Chapter 8: Securing the Industrial Internet

Examples of cybersecurity attacks

IIoT security core building blocks

NIST cybersecurity frameworks

IIoT security guidelines

Securing devices and the edge to the cloud gateway

Device considerations

Device to gateway connections

Securing the backend

Data lake security

Securing other NoSQL databases

Data warehouse security

Risk assessments and best security practices

Planning for security in the supply chain example

Chapter 9: Governance and Assuring Compliance

Assessing governance, risk, and compliance

Data governance

Assessing risk and trustworthiness

International compliance certifications

International consortia and emerging standards

Government and public institution compliance

Non-U.S. government standards and certifications

U.S. government standards

Industry compliance certifications

Which guidelines apply

GRC in the supply chain optimization example

Chapter 10: Industrial Internet Use Cases in Various Industries

Use cases versus case studies

Use cases within industry vertical

Use cases in agribusiness

Use cases in alternative energy and environmental control

Use cases in construction

Use cases in logistics and transportation

Use cases in manufacturing and CPGs

Use cases in oil and gas

Use cases in pharmaceuticals, medical equipment, and healthcare

Use cases in utility companies

Manufacturing IIoT architectures and examples

A manufacturing test bed

Factory operation visibility and intelligence

Omnichannel initiatives

Predictive maintenance

Airline industry background

Airline proactive and preventive maintenance

Preventive maintenance as a business

Asset tracking and handling

Baggage and cargo handling

Expanded baggage-handling services.

Tracking tools in manufacturing and construction

Chemical industry automated tracking and replenishment

Environmental impact and abatement

Chapter 11: A Vision of the Future

Maturing IIoT frameworks and applications

Evolving edge devices

The evolution of networking

Cognitive and mixed reality HMIs and deep learning

The impact on robotics and mobile devices

Improved security through blockchain technology

Quantum computing

The Industrial Internet's impact on society

Appendix: Sources

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11&amp

Index.

Notes:

Includes index.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed October 18, 2017).

OCLC:

1005898930