Data science for modern manufacturing: global trends : big data analytics for the industrial Internet of Things
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 exp...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2016]
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| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492042686/?ar |
| Zusammenfassung: | 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: autonomous robots, simulation, additive manufacturing, and augmented reality. |
| Beschreibung: | Includes bibliographical references. - Online resource; title from title page (Safari, viewed June 13, 2018) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
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| spelling | Chu, Li Ping VerfasserIn aut Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things Li Ping Chu First edition. Sebastopol, CA O'Reilly Media [2016] ©2016 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references. - Online resource; title from title page (Safari, viewed June 13, 2018) 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: autonomous robots, simulation, additive manufacturing, and augmented reality. Industries Technological innovations Internet of things Big data Industrie ; Innovations Internet des objets Données volumineuses Industries ; Technological innovations |
| spellingShingle | Chu, Li Ping Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things Industries Technological innovations Internet of things Big data Industrie ; Innovations Internet des objets Données volumineuses Industries ; Technological innovations |
| title | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things |
| title_auth | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things |
| title_exact_search | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things |
| title_full | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things Li Ping Chu |
| title_fullStr | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things Li Ping Chu |
| title_full_unstemmed | Data science for modern manufacturing global trends : big data analytics for the industrial Internet of Things Li Ping Chu |
| title_short | Data science for modern manufacturing |
| title_sort | data science for modern manufacturing global trends big data analytics for the industrial internet of things |
| title_sub | global trends : big data analytics for the industrial Internet of Things |
| topic | Industries Technological innovations Internet of things Big data Industrie ; Innovations Internet des objets Données volumineuses Industries ; Technological innovations |
| topic_facet | Industries Technological innovations Internet of things Big data Industrie ; Innovations Internet des objets Données volumineuses Industries ; Technological innovations |
| work_keys_str_mv | AT chuliping datascienceformodernmanufacturingglobaltrendsbigdataanalyticsfortheindustrialinternetofthings |