In this chapter, we covered the concepts of advanced analytics and how it plays a major role in the IIoT use cases for running the industrial equipment and manufacturing plants efficiently. We also discussed some of the real-world challenges in running the legacy analytics at scale and how big data plays a major role in building better models to predict the outcomes with more accuracy. We also looked at some of latest technologies, such as Apache Spark ML, the Keras framework, and the APIs available for the development of machine learning models. In the next chapter, we will look at how to develop an IIoT application.
Industrial Internet Application Development
By :
Industrial Internet Application Development
By:
Overview of this book
The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics.
Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications.
By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.
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Current Title:
Industrial Internet Application Development
Table of Contents (13 chapters)
Preface
Free Chapter
IIoT Fundamentals and Components
IIoT Application Architecture and Design
IIoT Edge Development
Data for IIoT
Advanced Analytics for the IIoT
Developing Your First Application for IIoT
Deployment, Scale, and Security
Reliability, Fault Tolerance, and Monitoring IIoT Applications
Implementing IIoT Applications with Predix
Best Practices for IIoT Applications
Future Direction of the IIoT
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