Data science for modern manufacturing : (Record no. 80421)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01889nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220830b2016 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789385889585 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 CHU-L |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chu, Li Ping |
| 245 ## - TITLE STATEMENT | |
| Title | Data science for modern manufacturing : |
| Remainder of title | global trends : big data analytics for the industrial internet of things / |
| Statement of responsibility, etc. | Li Ping Chu |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Shroff Publishers |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 29 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 225.00. |
| 500 ## - GENERAL NOTE | |
| General note | 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.<br/><br/>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.<br/><br/>Learn how IIoT technology is revolutionizing the way manufacturing gathers and processes data<br/>Examine the Industrial Internet Consortium’s mission to identify, assemble, and promote best practices<br/>Delve into Germany’s Industrie 4.0 IIoT platform and China’s government initiative Made in China 2025<br/>Explore IIoT approaches to using technology such as Hadoop and Spark, AWS Cloud Services, GE Predix, and Siemens Sinalytics<br/>Learn about other technologies that will shape industry, including: autonomous robots, simulation, additive manufacturing, and augmented reality. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Internet of things |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Industries--Technological innovations |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Current library | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | General Stack (For lending) | 30/08/2022 | 005.133 CHU-L | 46136 | 13/11/2024 | Books |