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Cover of MySQL for the Internet of Things

MySQL for the Internet of Things

Written by Charles Bell

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329 pages, about 7 hours of reading

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About this book

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

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Reading guide

Themes, characters and key ideas in MySQL for the Internet of Things, written by Chaptra AI.

  • about 15 hours
  • intermediate
  • Informative
  • Practical
  • Technical

MySQL for the Internet of Things provides a practical guide for developers facing the immense data challenges posed by the burgeoning IoT landscape. The book systematically introduces how to leverage MySQL, the world's most popular internet database, to manage, store, and derive insights from sensor data. It covers foundational concepts of MySQL, progresses to integrating database nodes into IoT solutions, demonstrates high availability strategies to protect critical data, and concludes with techniques for transforming raw data into actionable knowledge. This comprehensive resource equips readers with the skills to build robust, scalable, and resilient data management systems for their IoT projects, from device connectivity to advanced data analysis.

The IoT is poised to change how we interact with and perceive the world around us, and the possibilities are nearly boundless.

Key themes

Data Management in IoT
This is the overarching theme, exploring the challenges and solutions for collecting, storing, processing, and analyzing the massive amounts of data generated by connected devices in the Internet of Things.
High Availability and Data Protection
This theme focuses on ensuring the continuous operation and integrity of IoT data, even in the face of hardware failures, network issues, or other disruptions. It covers techniques for redundancy and fault tolerance.
Data Transformation and Insight Generation
This theme explores the process of converting raw, often noisy and voluminous, IoT data into a more refined, aggregated, and understandable format to facilitate reporting and the extraction of valuable knowledge.

Worth discussing

What are the primary challenges of managing vast volumes of data from connected IoT devices, and how does MySQL address these?

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