Bell Charles. - MySQL for the Internet of Things
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Apress, 2016. 391 p. ISBN-10: 1484212940. ISBN-13: 978-14842129432016 | ISBN: 1484212940 | English | 335 Pages | EPUB | 4 MBThis 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 worlds 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, youll 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
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, youll 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
Bell Charles.: author's other books
Who wrote MySQL for the Internet of Things? Find out the surname, the name of the author of the book and a list of all author's works by series.
Bell Charles.
McLaughlin
King Tim
Boronczyk T.
Michael McLaughlin
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Charles Bell 2016
Charles Bell MySQL for the Internet of Things 10.1007/978-1-4842-1293-6_11. The Internet of Things and Data
Charles Bell 1
(1)
VA, US
Electronic supplementary material
The online version of this chapter (doi: 10.1007/978-1-4842-1293-6_1 ) contains supplementary material, which is available to authorized users.
The Internet has enabled developers to create solutions that produce data that can be viewed by anyone anywhere in the world. Adapting prototypes or smaller versions of a solution to incorporate the Internet can be a challenge. It is not as simple as taking a working solution on a local network or similar communication mechanism and adding Internet connectivity. For example, growing your sensor network from a few sensors monitoring data viewed by a few people to a sensor network incorporating hundreds of sensors with the data viewable by potentially everyone may require redesigning your communication methods, data collection, and data storage.
Not only do you have to figure out how to scale the communication among your sensors, data collectors, and data-hosting services or database servers, you also have to deal with an explosion of data. That is, capturing data from a dozen sensors is relatively easy and may not require much in the way of careful planning to save the data, but capturing data from hundreds or even thousands of sensors is much more difficult because the data accumulates exponentially.
Clearly, storing the data on removable media or in a file is out of the questionespecially so if you consider how the data will be used. Furthermore, making sense of all that data is complicated by how the data is stored or more appropriately retrieved. For example, what would happen if every device in your home, car, office, and so on, were to produce data? Add in the rising interest in wearable sensors and similar devices and youve got the potential to generate more data than any human can manage or even decipher.
However, it isnt just sensor networks that face a similar data crisis. Indeed, the greatest concern of innovators in the emerging and developing world of the Internet of Things (IOT) is the potential for a data explosion as more and more devices generate, communicate, and present data. What we need is a way to explore and exploit this data, and one place to start is how the data is gathered and stored on a smaller scale like a sensor network.
What Is The Internet Of Things?
The essence of the IOT is simply interconnected devices that generate and exchange data from observations, facts, and other data, making it available to anyone. While there seems to be some marketing efforts attempting to make anything connected to the Internet an IOT solution or device (not unlike the shameless labeling of everything as cloud), IOT solutions are designed to make our knowledge of the world around us more timely and relevant by making it possible to get data about anything from anywhere at any time. Regardless, it is clear there is potential for the number of IOT devices to exceed the human population of the planet.
This book will be your guide to successfully plan and implement the data storage component for your sensor network and similar IOT solution. Lets begin with a short discussion about IOT solutions and then look at the key challenges for developing IOT solutions focusing on the data.
IOT Solutions
An IOT solution is simply a set of devices designed to produce, consume, or present data about some event or series of events or observations. This can include devices that generate data such as a sensor, devices that combine data to deduce something, devices or services designed to tabulate and store the data, and devices or systems designed to present the data. Any or all of these may be connected to the Internet.
IOT solutions may include one or all of these qualities whether they are combined in a single device such as a web camera, use a sensor package and monitoring unit such as a weather station, or use a complex system of dedicated sensors, aggregators, data storage, and presentation such as a complete home automation system. Figure shows a futuristic picture of all devices everywhere connected to the Internet via either databases, data collectors or integrators, display services, and even other devices. 
Figure 1-1.
The future of IOTall devices, everywhere
IOT Is More Than Just Connected to the Internet
So if a device is connected to the Internet, does that make it an IOT solution? That depends on whom you ask. Some believe the answer is yes. However, others (such as myself) contend that the answer is not unless there is some benefit from doing so.
For example, if you connected your toaster to the Internet, what could be the benefit of doing so? It would be pointless (or at least extremely eccentric) to get a text on your phone from your toaster stating your toast is ready. So in this case, the answer is no. However, if you have people such as irresponsible teenagers or perhaps older adults whom you would like to monitor, it may be helpful to be able to check to see how often they use their toaster and when. That is, you can use the data to help you make decisions about their care and safety.
Allow me to illustrate with another example. I was fortunate to participate in a design workshop held on the Microsoft campus in the late 1990s. During our tour of the campus, we were introduced to the worlds first Internet-enabled refrigerator (also called a smart refrigerator ). This would have been great if you lived in a location where your grocer delivers but not very helpful for those of us who live in rural areas. While it wasnt touted as an IOT device (the term was coined later), many felt the device illustrated what could be possible if devices were connected to the Internet.
Thus, being connected to the Internet isnt what IOT is about nor is it a new concept. Rather, IOT solutions must be those things that provide some meaninghowever small that benefit is to someone or some other device or service. Figure . 
Figure 1-2.
Connect the world by Wilgengebroed on Flickr, via Wikimedia Commons
Notice here you see things connected to the Internet in logical groupings. Observe the connected plants. The drawing depicts several sensors, but each sensor isnt necessarily connected directly to the Internet. It is more likely and more practical to connect the sensors from one or more plant to an intermediate node that sends the data either to a service on the Internet or perhaps to another node in the network for later processing. Figure shows how this would look in a logical form. 
Figure 1-3.
How IOT devices connect to the Internet
On the left side of Figure . These devices are the more sophisticated devices with built-in networking capabilities. At the bottom are devices that will connect to intermediate nodes such as data aggregators, computers, and so on, that filter, augment, and store the data prior to either presenting it via an Internet connection or sending the data to cloud services. At the far right is a user accessing the data via the Internet or a cloud service. Naturally, this can be any type of device such as a laptop, desktop, tablet, phone, watch, or other smart device or appliance (including another IOT device).
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