Explaining the Relationship Between IoT, Big Data and Cloud Computing

Big Data, IoT and the Cloud are digital solutions that enable better analytics and decision-making for your business. In this post, we explain the relation between IoT and Big Data, how Big Data and Cloud Data are related and the relationship between IoT, Big Data and Cloud Computing holistically, discussing some of the key benefits of this relationship.

Big Data, IoT and the Cloud

The interdependent relationship between IoT, Big Data and Cloud Computing are utilised by market-leaders around the world, benefitting from innovation and giving them a competitive edge. With connectivity becoming increasingly necessary in our everyday working and social lives, we find ourselves with more devices connected to the Internet and to each other more than ever. Digital transformation and the need to have various devices connected and sharing data is now essential, for systems and communication within organisations to be clearer. The data transmitted by devices linked with the Internet is gathered for analysis, then patterns and trends are determined from this data gathering process to help the system perform well.

What is IoT?

The Internet of Things (IoT) is a reference to a collection of devices or objects that are linked together using an Internet connection. The hub for the collection (the “things” part) is what sends and collects data using the Internet, which helps the devices to make decisions and remember particular patterns and routines for action to be carried out without any manual involvement. IoT is about the connection of multiple devices to the Internet. These devices can include multiple appliances that need to be connected for reasons including automation and real-time control of the device. As the IoT has both real-time and historical data stored, it can provide effective decision-making instructions to devices, and control certain actions and aspects of when and how they function. This technology enables your systems and devices to be automated cost-effectively.

What is Big Data?

Differing from IoT, Big Data is about the process where structured and unstructured large quantities of data are analysed to gain insight into varying business patterns. Big Data refers to data which is also too vast or complex to process using usual methods, including what’s known as the four V’s:

1. Volume:

The amount of data collected from a variety of sources.

2. Velocity:

The rate of which data is being processed.

3. Variety:

The different types of formats of data that are transferring across systems.

4. Veracity:

The ability of your Big Data tools and analysis to separate poor quality and high quality data.

What is The Cloud?

The Cloud is a centralised system that helps to deliver and transport data and various files across the Internet to data centres. The different data and programmes can be accessed easily from the centralised Cloud system. Cloud Computing is an economic solution, as it does not require on-site infrastructure for storage, processing and analytics. The scalability of Cloud Computing means that as your business grows, your technological and analytical capabilities can too.

There are different types of Cloud services available, including Microsoft Azure Cloud development, and more information on each of these varying types of Cloud solutions can be found in our previous guide.

Computer Screen Showing Code

What is the Relationship Between IoT, Big Data and Cloud Computing?

The relationship between IoT, Big Data and Cloud Computing creates ample opportunity for business to harness exponential growth. Put simply, IoT is the source of data, Big Data is an analytic platform of data, and Cloud Computing is the location for storage, scale and speed of access.

How are Big Data and Cloud Data Related?

Where Big Data is the large data set collected, Cloud Data is the location that this data is processed and accessed, usually using a software as a service (SaaS) model. Big Data and Cloud Data are related, as the Cloud infrastructure enables real-time processing of Big Data. The biggest benefit of using Cloud storage for your Big Data is the scalability: Cloud storage is available on a pay-as-you-go basis. Plus, the scalability of the Cloud means that Big Data analytics can be produced quicker than ever before. A combination of the two can transform your organisation into an efficient, data-driven market leader.

What is the Relation Between IoT and Big Data?                     

Once you can understand IoT and Big Data as separate solutions, you can appreciate why they work so closely with one another. When data is needed to be extracted for analysis reasons in a company, IoT is the source for that data. Big Data can analyse and extract the relevant data to create the required information. As well as processing large amounts of data on a real-time basis, Big Data then stores the information using various storage technologies, making Big Data invaluable when it comes to utilising IoT’s functionalities and the extraction of data.

IoT and Big Data can show hidden correlations, unidentified patterns and expose new trends in your data set. Access to such data improves business decision making with valuable insight and knowledge through predictive analysis and forecasting.

How are IoT and Cloud Computing Related?

The IoT and Cloud Computing complement one another, often being branded together when discussing technical services, and both working together to provide an overall better IoT service. However, there are crucial differences between them, making each of them an effective technical solution separately, as well as together.

The role of Cloud Computing in IoT works as part of a collaboration and is used to store IoT data. The Cloud is a centralised server containing computer resources that can be accessed whenever required. Cloud Computing is an easy method of travel for the large data packages generated by the IoT through the Internet. Big Data can also help in this process. Combined, IoT and Cloud Computingallow systems to be automated in a cost-effective way that supports real-time control and data monitoring.

A Diagram to Illustrate the Interconnectivity of Internet of Things Devices

The Benefits of Using Big Data, IoT and the Cloud

So why are Big Data, IoT and the Cloud such a good partnership? Well, there are numerous benefits for utilising both of these services by combining them, with a few of the main benefits outlined below:

  • Scalability for device data

Cloud-based solutions can be scaled vertically and horizontally to meet the needs of Big Data hosting and analytics. For example, you can increase a server’s capacity with more applications, or expand your hardware resources when necessary. The Cloud enables the expansion of Big Data and data analytics.

  • Scalable infrastructure capacity

Big Data and Cloud Data can be used in conjunction to store large amounts of data and provides scalable processing and improved real-time analysis of data. The lack of physical infrastructure needed to get Big Data, IoT and the Cloud up and running together reduces costs and means you can focus on the improved analytical capacity rather than worry about maintenance and support.

  • Increased efficiency in daily tasks

IoT and Big Data generate a large amount of data, which the Cloud provides the pathway for the data to travel.

  • Quicker use and distribution of Apps worldwide

You can access Big Data remotely and easily from anywhere in the world to still carry out actions on devices when using the Cloud, allowing for better collaboration.

  • Advancement on analysis and review of the status of connected IoT devices

A large number of devices can put pressure on Internet connection and creates the need for intelligent devices to send data to servers for processing versus to central servers. Now, you can be on the “edge” of processes, and access data from many areas within your network, respond faster to downtime and predict when errors may occur. Plus, using the Cloud with IoT helps to enhance security, as regular updates can be sent and knowledge of any breaches in infrastructure can be flagged up immediately.

  • Benefits from economies of scale

Preserve business value with effective storage and management of your Big Data and IoT with the Cloud, which has in-built management tools, processing capabilities and applications to manage your resources.

Network Connected Via Nodes

Using Big Data, IoT, and the Cloud together means you can have successful communication, connection and transference of data between devices, most effectively and efficiently. Cloud Computing is, in essence, an enabler. It enables a hosting platform for IoT and Big Data as well as process and data analytics. The main benefit of using Cloud Computing alongside IoT and Big Data is that it’s a scalable, reliable and agile solution for businesses. The relationship between IoT, Big Data and Cloud Computing is a synergistic interdependency that gives your business access to actionable insights through analysis and performance reports.

To find out more about how you can use IoT and Cloud Computing within your business, please contact us at McKenna Consultants, so we can discuss how we can deliver a bespoke service to help you. Should you wish to learn more about the IoT and Cloud solution services we have delivered to companies in the past, then please check out our case studies.

Nick McKenna
Since 2004, Nick McKenna, BSc, MBCS Biography has been the CEO of McKenna Consultants. McKenna Consultants is a bespoke software development based in North Yorkshire, specialising in Cloud development, mobile App development, progressive web App development, systems integration and the Internet of Things development. Nick also holds a First Class Degree in Computer Science (BSc) and wrote his first computer program at the age of nine, on a BBC Micro Model B computer. For the last 21 years, Nick has been a professional computer programmer and software architecture. Nick’s technical expertise includes; Net Core, C#, Microsoft Azure, Asp.Net, RESTful web services, eProcurement, Swift, iOS mobile development, Java, Android mobile development, C++, Internet Of Things and more. In addition, Nick is experienced in Agile coaching, training and consultancy, applying modern Agile management techniques to marketing and running McKenna Consultants, as well as the development of software for clients. Nick is a Certified Enterprise Coach (Scrum Alliance), SAFe Program Consultant (SAI), Certified LeSS Practitioner (LeSS) and Certified Scrum@Scale Practitioner. Outside the office, Nick is a professional scuba diver and he holds the rank of Black Belt 5th Dan in Karate.