My Books
Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0
Dec 2018 - We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).
Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.
As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.
By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.
Who this book is for
If you’re an IoT architect, developer, or stakeholder working with architectural aspects of Industrial Internet of Things, this book is for you.
Table of Contents
- Introduction to Industrial IOT
- Understanding the Industrial IOT Process
- Industrial Data Flow and Devices
- Implementing Data Collection & Industrial IOT Gateway
- Applying Cyber Security
- Performing Industrial Protocols & Standards’ exercise
- Developing Industrial IOT and Cloud Architecture
- Understanding Industrial OEM Cloud
- Implementing a Legacy Industrial IOT platform
- Implementing a Cloud I-IoT Solution with AWS IoT
- Implementing a Cloud I-IoT Solution with Google Cloud IoT
- Implementing a Practical I-IoT Solution with Azure IoT
- Performing Diagnostic, Maintenance and Predictive Analytics
- Implementing a Digital Twin: Advanced Analytics
- Performing an Analytics’ Exercise
Amazon score
4.4 with 71 reviewes
Github code of the book
Maven Build Customization
Nov 2014 - Customize Maven build.
Who this book is for
This book is for developers and delivery managers who have some experience with Maven and Java, but want to extend their knowledge to automate the building process, thereby reducing human errors.
