Why choose MySQL for IoT?
Internet of Things (IoT) has already taken the world by storm, and its’ here to stay. By 2020, it is estimated that there will be up to 21 billion IoT devices, so it’s pivotal that you and your customers are able to support the exponentially growing market.
As IoT has grown, so have the potential problems that it presents. Learn how you and your customers can combat these issue by leveraging MySQL within IoT solutions.
What is IoT?
IoT is essentially any device that connects to the internet and therefore generates and exchanges data from observations, facts and other data. In a physical sense, examples of IoT devices include GPS, digital compasses, WiFi, Bluetooth and even video capabilities.
The overall aim of IoT is to collect data and observations of the world around us, so the challenge is to create an interface where we can learn from the information collected.
IoT challenges include Big Data and issues surrounding addressing, MySQL offerings comprise various features that enable you and your customers to combat these problems through database best practises.
What is Big Data?
Big Data is a way of describing a scenario where you have far more data than one –or multiple – systems can process efficiently.
By using carefully crafted data transformation techniques to pare down data and make it physically mean something, you can substantially reduce your customers’ data clutter.
Once the scaled back data is collated, it needs to be transported to a local database – such as an embedded MySQL server – enabling your customers to gain knowledge from better, more comprehensive data.
Storing IoT data in MySQL doesn’t even mean your customers have to change how they collect data. They can simply write their queries in SQL, and data is automatically more secure than it would be stored in files or memory.
Data transformation leads to better IoT data
Data often needs to be made clearer through annotation and aggregation before any sense can be made of it. Annotation involves the addition of valuable information to data; this can include the source of the observation, the data and time it was recorded, or various other calculations.
Recording these additional, value pieces of information couldn’t be easier with MySQL, and can be done in one of two ways:
- Add a column to the table of type ‘datetime’ and provide the data and time in your code that communicates with the database server
- Use a timestamp column, which is a special column that the database server populates automatically when the row is inserted
High availability with MySQL
The implications of losing IoT in certain sectors can be catastrophic – high availability is synonymous with reliability and MySQL considers these elements to be of paramount importance.
There are four key goals to consider when addressing availability:
- Recover from storage media failure
- Quickly recover from database failure
- Improve performance
- Achieve zero loss of data collection
Many MySQL solutions enable you and your customers to reach these high availability goals with IoT data. The database has functions that combat monitoring, backup and recovery, redundancy, scaling and fault tolerance.