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

The batch layer

The batch layer is the location of data-management systems storing historical data in our architecture. Incoming data streams from the speed layer commonly land in a NoSQL database. Initially, a variety of NoSQL key-value pair databases were commonly used and scaled through a technique called sharding, the horizontal partitioning of a database across multiple database servers. Some organizations use this type of NoSQL database in PoCs for rapid deployment or as pre-processing engines in production solutions.

In the past few years, Hadoop clusters have gained in popularity as the landing spot and serve as a data lake in the Lambda architecture you saw in the diagram. They can support the large data volumes of historical data that are often present in IIoT projects and are an optimal location to run machine learning embedded solutions.

Relational databases continue to have a role in deployment strategies as the underpinning for data warehouses and data marts. These often provide...