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Can I read Data science for modern manufacturing : global trends : big data analytics for the industrial Internet of Things on EtoBox?

Data science for modern manufacturing : global trends : big data analytics for the industrial Internet of Things by Li Ping Chu is a nonfiction available to read on EtoBox.

What is Data science for modern manufacturing : global trends : big data analytics for the industrial Internet of Things about?

The world’s leading nations are standing at the precipice of the next great manufacturing revolution—one in which the Industrial Internet of Things (IIoT) and big data analytics are already making a major impact. In this O’Reilly report, author Li Ping Chu shares insight from industry experts and explores recent manufacturing initiatives in China, Germany, and the US to provide a succinct, hype-free overview of related technologies and applications. You’ll learn what government groups are doing to promote the Industrial Internet, the technologies that are the backbone of this digital revolution, and the challenges companies whose projects are based on networked machines must consider. - Learn how IIoT technology is revolutionizing the way manufacturing gathers and processes data - Examine the Industrial Internet Consortium’s mission to identify, assemble, and promote best practices - Delve into Germany’s Industrie 4.0 IIoT platform and China’s government initiative Made in China 2025 - Explore IIoT approaches to using technology such as Hadoop and Spark, AWS Cloud Services, GE Predix, and Siemens Sinalytics - Learn about other technologies that will shape industry, including: auton

Who reads Data science for modern manufacturing : global trends : big data analytics for the industrial Internet of Things?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Li Ping Chu
Publisher
O'Reilly Media, Incorporated
Published
2016
Language
EN
ISBN
9781491958964
Category
nonfiction

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