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9781484212943 English 1484212940 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. What you'll learn 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 Who this book is for MySQL for the Internet of Things is intended for both hobbyists and professionals who want to learn how to manage their IoT data., 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. What you'll learn 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 Who this book is for MySQL for the Internet of Things is intended for both hobbyists and professionals who want to learn how to manage their IoT data. Table of Contents 1. The Internet of Things and Data 2. How IOT Data is Stored 3.Hardware for IOT Devices and Data Collection 4. Data Transformation 5. MySQL Primer 6. Building Low-Cost MySQL Database Nodes 7. High Availability IOT Solutions 8. Demonstration of Techniques
9781484212943 English 1484212940 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. What you'll learn 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 Who this book is for MySQL for the Internet of Things is intended for both hobbyists and professionals who want to learn how to manage their IoT data., 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. What you'll learn 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 Who this book is for MySQL for the Internet of Things is intended for both hobbyists and professionals who want to learn how to manage their IoT data. Table of Contents 1. The Internet of Things and Data 2. How IOT Data is Stored 3.Hardware for IOT Devices and Data Collection 4. Data Transformation 5. MySQL Primer 6. Building Low-Cost MySQL Database Nodes 7. High Availability IOT Solutions 8. Demonstration of Techniques