- We will send in 10–14 business days.
/images/books/12215734/9781785616365.jpg)
- Publisher: Institution of Engineering & Technology
- ISBN-10: 1785616366
- ISBN-13: 9781785616365
- Format: 16 x 23.9 x 2.8 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Big Data-Enabled Internet of Things (e-book) (used book) | bookbook.eu
Reviews
Description
The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 19d.14:47:49
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Institution of Engineering & Technology
- ISBN-10: 1785616366
- ISBN-13: 9781785616365
- Format: 16 x 23.9 x 2.8 cm, hardcover
- Language: English English
The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
Reviews