大葉大學圖書館 |

MySQL for the internet of things[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.7585
書名/作者:	MySQL for the internet of things/ by Charles Bell.
作者:	Bell, Charles.
出版者:	Berkeley, CA : : Apress :, 2016.
面頁冊數:	xv, 335 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Databases.
標題:	Internet of things.
標題:	Client/server computing.
標題:	Computer Science.
標題:	Database Management.
ISBN:	9781484212936
ISBN:	9781484212943
摘要、提要註:	This book introduces the problems facing Internet of Things developers and explores current technologies and techniques to help you manage, mine, and make sense of the data being collected through the use of the world's most popular database on the Internet - MySQL. The IoT is poised to change how we interact with and perceive the world around us, and the possibilities are nearly boundless. As more and more connected devices generate data, we will need to solve the problem of how to collect, store, and make sense of IoT data by leveraging the power of database systems. The book begins with an introduction of the MySQL database system and storage of sensor data. Detailed instructions and examples are provided to show how to add database nodes to IoT solutions including how to leverage MySQL high availability, including examples of how to protect data from node outages using advanced features of MySQL. The book closes with a comparison of raw and transformed data showing how transformed data can improve understandability and help you cut through a clutter of superfluous data toward the goal of mining nuggets of useful knowledge. In this book, you'll learn to: Understand the crisis of vast volumes of data from connected devices Transform data to improve reporting and reduce storage volume Store and aggregate your IoT data across multiple database servers Build localized, low-cost MySQL database servers using small and inexpensive computers Connect Arduino boards and other devices directly to MySQL database servers Build high availability MySQL solutions among low-power computing devices.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-1293-6

MySQL for the internet of things[electronic resource] /
Bell, Charles.

MySQL for the internet of things[electronic resource] /by Charles Bell. - Berkeley, CA :Apress :2016. - xv, 335 p. :ill., digital ;24 cm.

This book introduces the problems facing Internet of Things developers and explores current technologies and techniques to help you manage, mine, and make sense of the data being collected through the use of the world's most popular database on the Internet - MySQL. The IoT is poised to change how we interact with and perceive the world around us, and the possibilities are nearly boundless. As more and more connected devices generate data, we will need to solve the problem of how to collect, store, and make sense of IoT data by leveraging the power of database systems. The book begins with an introduction of the MySQL database system and storage of sensor data. Detailed instructions and examples are provided to show how to add database nodes to IoT solutions including how to leverage MySQL high availability, including examples of how to protect data from node outages using advanced features of MySQL. The book closes with a comparison of raw and transformed data showing how transformed data can improve understandability and help you cut through a clutter of superfluous data toward the goal of mining nuggets of useful knowledge. In this book, you'll learn to: Understand the crisis of vast volumes of data from connected devices Transform data to improve reporting and reduce storage volume Store and aggregate your IoT data across multiple database servers Build localized, low-cost MySQL database servers using small and inexpensive computers Connect Arduino boards and other devices directly to MySQL database servers Build high availability MySQL solutions among low-power computing devices.

ISBN: 9781484212936

Standard No.: 10.1007/978-1-4842-1293-6doiSubjects--Uniform Titles:

MySQL (Electronic resource)
Subjects--Topical Terms:

381648
Databases.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.7585

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