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MySQL for the Internet of Things addresses a growing concern among developers of devices and sensors such as remote thermostats, Internet-connected refrigerators, smart watches, and the vast array of hobbyist and consumer devices increasingly being connected to the Internet as part of the so-called Internet of Things (IoT). The issue is twofold: Where is sensor and other data from these devices being stored? And how do we make sense of it? The book introduces the problem and then goes on to explore current technologies and techniques to help you manage, mine, and make sense of the data being collected.
Later chapters introduce key techniques for reducing the data explosion through transformations making your data more pertinent and easier to understand. This content leads to an introduction of the MySQL database system and its incorporation into sensor networks. Detailed instruction and examples are provided to show how to add database nodes to IoT solutions.
Also covered is the concept of high availability in IoT solutions, including examples of how to protect data from node outages using advanced features of MySQL. The book closes with a comparison of raw data versus transformed data as viewed in popular IoT data service solutions. This comparison shows 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.
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