Book Image

Architecting the Industrial Internet

By : Robert Stackowiak, Shyam Varan Nath, Carla Romano
Book Image

Architecting the Industrial Internet

By: Robert Stackowiak, Shyam Varan Nath, Carla Romano

Overview of this book

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 manufacturing and specific examples in predictive maintenance, asset tracking and handling, and environmental impact and abatement. The book concludes by exploring evolving technologies that will impact IIoT architecture in the future and discusses possible societal implications of the Industrial Internet and perceptions regarding these projects. By the end of this book, you will be better equipped to embrace the benefits of the burgeoning IIoT.
Table of Contents (19 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback


This chapter described data and analytics requirements and capabilities and then introduced the Lambda architecture. We then described analytics and machine learning, and various analyst tools that might be utilized.

Next, we revisited early Industrial Internet applications deployed into standalone manufacturing facilities and the role of historians. We also described how some of these capabilities are merging into the Lambda architecture.

Finally, we described the speed and batch layer components in this architecture. We took a deeper look at the components in the speed layer for real-time data processing and described newer trends to push analytics and machine learning to field gateways at the edge. We also described components in the batch layer, including Hadoop serving as a data lake and relational databases for data warehousing.

You now should better understand where each of these components fit and why you might include them in your architecture. In your mind, you are probably...