NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Hands-On Industrial Internet of Things. (Record no. 16044)

MARC details
000 -LEADER
fixed length control field 03716nam a2200277uu 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250710182907.0
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024 80 - OTHER STANDARD IDENTIFIER
Standard number or code 9781835887479
040 ## - CATALOGING SOURCE
Original cataloging agency PACKT
Transcribing agency PACKT
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title en
044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE
MARC country code GB
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Giacomo Veneri
Relator term author.
245 00 - TITLE STATEMENT
Title Hands-On Industrial Internet of Things.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. GB:
Name of publisher, distributor, etc. Packt,
Date of publication, distribution, etc. 2024-11-15.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2024-11-15
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture GB:
Name of producer, publisher, distributor, manufacturer Packt,
300 ## - PHYSICAL DESCRIPTION
Extent 530.
377 ## - ASSOCIATED LANGUAGE
Language code en
520 ## - SUMMARY, ETC.
Summary, etc. <p><b>Build scalable, secure, and intelligent systems by utilizing IoT architectures, AWS, Azure, AI, and real-world solutions to become a skilled IIoT architect</b></p><h4>Key Features</h4><ul><li>Leverage IoT, AI/ML, and cloud technologies to unlock industrial potential and drive business innovation</li><li>Work with labs on real-world edge computing scenarios, integrating AWS, Azure, and open source tools</li><li>Use diagnostic and predictive analytics to develop digital twins, improve industrial processes, and manage assets</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks. Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms. By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.<h4>What you will learn</h4><ul><li>Get a solid understanding of industrial processes, devices, and protocols</li><li>Harness IoT technology to effectively manage industrial use cases</li><li>Design and implement an IIoT network flow to continuously monitor the performance of your critical assets</li><li>Get to grips with popular cloud-based platforms such as AWS and Azure</li><li>Explore Edge devices and learn about Edge and fog computing to gather field data</li><li>Apply diagnostic analytics to real-world data to answer critical workforce questions</li><li>Develop AIoT technology for predictive maintenance</li></ul><h4>Who this book is for</h4>If you are an IoT architect, developer, AI engineer, or stakeholder involved in designing the architecture systems of the Industrial Internet of Things, this book is for you. The only prerequisite needed is a solid understanding of the Python programming language and networking concepts.
538 ## - SYSTEM DETAILS NOTE
System details note Data in extended ASCII character set.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: Internet.
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Antonio Capasso
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PACKT
773 0# - HOST ITEM ENTRY
Title Hands-On Industrial Internet of Things
Place, publisher, and date of publication GB,Packt,2024-11-15
Physical description 530
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://learning.packt.com/product/482395">https://learning.packt.com/product/482395</a>

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