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Hands-On Industrial Internet of Things

You're reading from   Hands-On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835887462
Length 530 pages
Edition 2nd Edition
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Authors (2):
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Antonio Capasso Antonio Capasso
Author Profile Icon Antonio Capasso
Antonio Capasso
Giacomo Veneri Giacomo Veneri
Author Profile Icon Giacomo Veneri
Giacomo Veneri
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Industrial IoT FREE CHAPTER
2. Chapter 1: Introduction to Industrial IoT 3. Chapter 2: Understanding the Industrial Process and Devices 4. Chapter 3: Industrial Data Flow and Devices 5. Chapter 4: Implementing the Industrial IoT Data Flow 6. Chapter 5: Applying Cybersecurity 7. Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards 8. Part 2:Industrial IoT Architecture
9. Chapter 7: Developing Industrial IoT and Architecture 10. Chapter 8: Implementing a Custom Industrial IoT Platform 11. Chapter 9: Building an AWS Industrial IoT Solution 12. Chapter 10: Implementing an Industrial IOT Data Flow with AWS 13. Chapter 11: Performing a Practical Industrial IoT Solution with Azure 14. Chapter 12: Implementing an Industrial IoT Data Flow with Azure 15. Part 3:Industrial Artificial Intelligence of Things
16. Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics 17. Chapter 14: Implementing a Digital Twin – Advanced Analytics 18. Chapter 15: Deploying an Analytics Model 19. Index 20. Other Books You May Enjoy

Other technologies

In the previous sections, we have implemented an architecture based on the most common technologies. There are other technologies that can replace the ones we propose. In this section, we will learn about some of them.

Other open source technologies for analytics

Airflow is, without a doubt, a very valid platform for building analytics. We can also implement our analytics on other data platforms. Here is a short list of them:

  • Apache Flink is a data-stream processor with great support for streaming analytics. The major advantage of Flink is that it has stateful support.
  • Dagster is a valid alternative to Airflow.
  • Kedro simplifies the data pipeline.
  • Kubeflow is based on Kubernetes and Docker to orchestrate data flow among dockers.
  • Apache NiFi is a powerful Extract, Transform, Load (ETL) orchestrator system.
  • Luigi is a very thin orchestrator analytic platform.
  • Apache Spark is the most popular framework for big data and stream processing...
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