Book Image

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
Book Image

Industrial Internet Application Development

By: Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

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.
Table of Contents (13 chapters)
Free Chapter
IIoT Fundamentals and Components
Future Direction of the IIoT

Data management options in Predix

To ensure storing, analyzing, and merging the sensor data we have collected in our Raspberry Pi hubs, we need to use specialized data management solutions. Predix offers a good selection of services for this purpose, as listed here:

  • Asset
  • Event Hub
  • Time Series
  • Database as a Service
  • Blobstore
  • Message Queue (AMQP)
  • Key-Value Store:
Data management services in the Predix catalog

You can select any of the services, depending on your data type and the operations you need to perform. In particular, for our application that handles time series data, we can use the Time Series storage.

The following subsections describe the data management services offered by Predix ( in more detail, highlighting their features and the purposes for which they are usually used.