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IoT solutions, by definition if not implementation, can generate a lot of data. Indeed, most IoT solutions observe the world in one or often several ways. Those observations generate data at whatever rate the solution specifies (called a sample rate). To make the data most useful for historical or similar analytics, you have to save the data for later processing. Database systems provide a perfect solution for storing IoT data and making it available for later use.
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According to GNU ( www.gnu.org/philosophy/free-sw.html), “free software is a matter of liberty, not price. To understand the concept, you should think of ‘free’ as in ‘free speech,’ not as in ‘free beer.’”
And use the --console command-line option on Windows systems.
C. J. Date, The Database Relational Model: A Retrospective Review and Analysis (Reading, MA: Addison-Wesley, 2001).
C. J. Date and H. Darwen, Foundation for Future Database Systems: The Third Manifesto (Reading, MA: Addison-Wesley, 2000).
If you would like to know more about storage engines and what makes them tick, see my book Expert MySQL (Apress, 2012).
And any additional database objects that I need.
You could overcome this by changing the project template, but I like to use the blank app template in case I ever decide to add a user interface.
- Project 4: Using MySQL to Store Data
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- Chapter 13
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