Do you use the right database to implement the Internet of things? __ Database

Data is constantly impacting decisions on key businesses, which allows businesses to rethink what they can get from the Internet of things. If you think that the growing world of things is just a fad, you're wrong.

A study on M2M technology shows that by 2020, devices will reach 12.5 billion through sensor control, monitoring and automated management. These devices include machines such as meter instruments, air-conditioning and lighting control panels, all of which will be used to manage intelligent buildings, improve energy use and improve operational performance. Using the data generated by these devices and getting useful information from the data will allow us to design new business models, add new revenue opportunities, and improve a compelling and accurate customer experience.

Did you notice the sensors embedded around the building? They produce a large amount of data on room temperature, humidity, and illumination, and use these data to optimize the energy consumption of the system and to avoid the failure to influence the environment. In the retail sector, for example, the risk of high-value medical drugs can be caused when a pharmacy refrigerator fails to maintain a proper cooling temperature.

If you have the right data model, then you will benefit from this device connection. Of course, this data model is a challenge to you as well as helping you get the most out of the Internet infrastructure. Data models must consider high-speed sensor data and other aspects. For example, even if a large number of sensors collect information only once, it will produce a lot of time series data, or even PB data level. To gain and analyze this data, the read-write performance of the database is critical, especially for high-speed sensor data. Therefore, the database must be able to support high speed reading and writing, and is highly available so that it can be collected at intervals. In addition, you must plan for the scalability of the data over time, and also to maintain cost-effectiveness.

         when considering selecting a database for sensor data, an Internet solution provider already has a choice. The provider knows that it can improve the efficiency of building operations and reduce energy consumption through the implementation of interconnect sensors. It is clear from the outset that relational databases are not necessarily the best choice because of the lack of data availability and scalability of relational databases. And after careful evaluation, the provider found that NoSQL is a good choice. This is because it has excellent read and write operations, the ability to expand by simply adding nodes. NoSQL makes it easy for applications to respond to growing sensor data.          as equipment management becomes more automatic and more interconnected, the number, diversity and speed of data will continue to drive an extensible, The database requirements that are available at all times and that can handle these loads.