000			01889nam a22001937a 4500
008			220830b2016 |||||||| |||| 00| 0 eng d
020			_a9789385889585
082			_a005.133 CHU-L
100			_aChu, Li Ping
245			_aData science for modern manufacturing : _bglobal trends : big data analytics for the industrial internet of things / _cLi Ping Chu
260			_aIndia _bShroff Publishers _c2016
300			_a29 p.
365			_aINR _b225.00.
500			_aThe 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.
650			_aBig data
650			_aInternet of things
650			_aIndustries--Technological innovations
650			_aData mining
999			_c80421 _d80421