The Role of Big Data Analytics in Internet of Things
In the simplest terms, IoT or Internet of Things is defined as interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data. These devices have the ability to communicate with one another over the internet. These devices can also be controlled and monitored through some other remote device. On the other hand, big data is more of a field which deals with the tasks of analyzing and extracting information from larger data in a systematic method.
You can also look at it as the process in which the job of an individual is to deal with data sets which are either too large or too complex to be dealt with the help of the other traditional data processing applications and procedures.
From the description mentioned here, it can be quite easy to conclude that both these technologies are certainly quite innovative. And if one looks at all the benefits and popularity which these technologies have achieved in recent years then it becomes easier to say that these technologies are revolutionary. However, what happens if these two separately revolutionizing technologies are combined? In this article, we are considering exactly that by looking at the role which big data can play in IoT.
The Big Data Analytics
According to various experts, IoT is one of those technologies which are well on their way to becoming the technology which welcomes the biggest technological revolution. There are experts who are claiming that by the year 2030, the IoT technology will be generating almost a total amount of revenue of $300 billion. This is so why many industry experts are focusing on the biggest role which big data plays in IoT and that is big data analytics. IoT devices are known to generate a large amount of data continuously in a scalable manner. Hence, it becomes vital for users to handle that data and put it to good use. Many possible actions can be performed on this large amount of data including metric calculations and statistics operation. All of these factors should be considered before building an analytical solution for the data generated by IoT.
The primary focus on IoT data analytics should be on the correct size infrastructure, growth, and performance. For the best possible performance and future growth, it is suggested that you should take a hybrid approach. This would consist of dedicated hosting, managed hosting, the cloud, and colocation.
Data Analytics has a significant role to play in the growth and success of IoT applications and investments. Analytics tools will allow the business units to make effective use of their datasets as explained in the points listed below.
Volume: There are huge clusters of data sets that IoT applications make use of. The business organizations need to manage these large volumes of data and need to analyze the same for extracting relevant patterns. These datasets along with real-time data can be analyzed easily and efficiently with data analytics software.
Structure: IoT applications involve data sets that may have a varied structure as unstructured, semi-structured and structured data sets. There may also be a significant difference in the data formats and types. Data analytics will allow the business executive to analyze all of these varying sets of data using automated tools and software.
Driving Revenue: The use of data analytics in IoT investments will allow the business units to gain an insight into customer preferences and choices. This would lead to the development of services and offers as per the customer demands and expectations. This, in turn, will improve the revenues and profits earned by the organizations.
Competitive Edge: IoT is a buzzword in the current era of technology and there are numerous IoT application developers and providers present in the market. The use of data analytics in IoT investments will provide a business unit to offer better services and will, therefore, provide the ability to gain a competitive edge in the market