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IOT and Big Data

Internet of Things and Big Data – Better Together

IoT and Big Data are buzzing the technology world for quite a time now, and these are no longer a “nice to have” technology but a necessity. There is a drive to adopt big data within organizations which has triggered the use of big data analysis tremendously in the past few years. Hence, businesses are also rapidly catching on to what they need for it.

New in the world of Big Data? Here is everything you need to know to learn Big Data.

At the same time, the Internet of Things (IoT) has sparked the world by showing what a fully interconnected world can offer us. Though IoT and Big data evolved independently, they have become interrelated over the period.

Furthermore, the relation between big data and IoT has shown a convergence of the two technologies which is aligning the technologies in the best possible way. Hence, if IoT big data combination separately gives plenty of reasons for excitement, then combining the two technologies multiplies the anticipation.

In this blog, we will discuss how IoT and big data go hand in hand and how organizations are obtaining benefits by using the internet of things big data together.

IoT and Big Data in a Nutshell

Before we go into detail on the topic, let’s have an overview of the two technologies.

What is IoT?

Internet of Things (IoT) refers to a system of connected physical objects via the internet. The ‘thing’ in IoT can refer to a person or any device which is assigned through an IP address. A ‘thing’ collects and transfers data over the internet without any manual intervention with the help of embedded technology. It helps them to interact with the external environment or internal states to take the decisions.

What is Big data?

Big data means a large set (petabytes or gigabytes) of structured, unstructured or semi-structured data and analyzing those data to get the insights of the business trend.

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The Relation between Big Data and IoT

As per the study, around 4.4 trillion GB of data will be generated by the year 2020 through the Internet of Things. This is no doubt difficult to comprehend easily. However, with the growing number of connected devices it is not surprising that by 2020, more than ten billions of sensors and devices will be connected to the internet. Furthermore, all of these devices will gather, analyze, share, and transmit data in real time. Hence, without the data, IoT devices would not hold the functionalities and capabilities which have made them achieve so much worldwide attention.

Role of Big Data in IoT

When organizations are grabbing hold of the data for analysis purpose, IoT is acting as a major source for that data, and this is the point where the role of big data in IoT comes into the picture. Big data analytics is emerging as a key to analyzing IoT generated data from “connected devices” which helps to take the initiative to improve decision making.

The role of big data in IoT is to process a large amount of data on a real-time basis and storing them using different storage technologies.

IoT big data processing follows four sequential steps –

  1. A large amount of unstructured data is generated by IoT devices which are collected in the big data system. This IoT generated big data largely depends on their 3V factors that are volume, velocity, and variety.
  2. In the big data system which is basically a shared distributed database, the huge amount of data is stored in big data files.
  3. Analyzing the stored IoT big data using analytic tools like Hadoop MapReduce or Spark
  4. Generating the reports of analyzed data.
IOT Big Data Processing
IOT Big Data Processing

Since in IoT the unstructured data are collected via the internet, hence, big data for the internet of things need lightning-fast analysis with large queries to gain rapid insights from data to make quick decisions. Hence the need for big data in IoT is compelling.

Hence, from the big data perspective, it is the fuel that drives Internet of Things run

How do IoT and Big Data Impact Each Other?

It’s not just that there is the only interdependent relation between big data and IoT. As they help each other, in addition to that they hugely impact each other. Fact is the more the IoT grows it will place more demand on businesses regarding big data capabilities. For example, as the IoT generated data is increasing at a huge rate, conventional data storage technology is already being pushed to its limits. As a result, it demands more advanced and innovative storage solutions to handle these growing workloads resulting in updating the infrastructure of an organization’s big data storage.

Similarly, the IoT big data combined applications accelerate the scope of research in both the fields. So, IoT and big data both the technologies carry inter-dependency and need further development.

How are IoT and Big Data Together Beneficial for Companies?

IoT big data analytics can be useful for a variety of IoT data to –

  • Examine 
  • Reveal trends
  • Find unseen patterns
  • Find hidden correlations
  • Reveal new information

Hence, companies can benefit from analyzing large amounts of IoT big data and managing them to identify how they affect businesses. As a result, it assists business and other organizations to achieve an improved understanding of data, and thus, making efficient and well-informed decisions. Every segment of businesses and industries can achieve some benefits.

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Benefits of IoT and Big Data for Companies in Different Sectors

  • Helps to increase the ROI for the Businesses

IoT and big data analytics are transforming how businesses are adding value by extracting maximum information from data to get better business insights. With the increased demand for data storage companies prefers big data cloud storage which ultimately lowers the implementation cost for them.

  • It will reshape the future e-health system

The combined features of the IoT and big data can reshape the next generation of e-health care systems. Big data will lead to hypothesis-driven research to data-driven research transformation. On the other hand, IoT will help to control and analyze the different levels of connections between various sensor signals and existing big data. This will enable new ways of remote diagnosis with a better understanding of the disease which will lead to the development of innovative solutions in the healthcare field.

  • Advantages in manufacturing companies

If manufacturing companies install IoT sensors within its equipment, they can collect significant operational data on the machines. This helps them to have an in-depth look at how the business is performing and enable them to find out which equipments need repairing before much problems arise. This prevents them from more significant expenses by skipping the downtime or replacement of the equipment. Hence, investment in IoT and big data causes saving businesses money.

  • Internet of things and big data will raise self-service analytics

With more inventions in the IoT field, most of the IT functions can be handled with data automation and integration. Additionally, big data tools will increasingly become self-sufficient and straightforward to perform basic functions. Hence, analytics as a service will become more of a self-service type.

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  • Benefits in the transportation industry

In the transportation sector, IoT sensors have been installed in the vehicles as a way to track them the go and around the world. This doesn’t only help companies to keep a closer eye on the vehicles, but it also provides the data regarding fuel efficiency, how drivers utilize their time and delivery routes. This information can be indispensable for optimizing fleets and for the improvement of organizational productivity.

  • More benefits in Industrial internet of things (IIoT)

IIoT is related with various connected devices which help following tasks to control the behavior of the industrial devices –

  • Monitoring
  • Collecting
  • Exchanging
  • Analyzing
  • Instantly acting on information
  • Hence, the convergence of IoT and big data in IIoT is an important component.
  • Edge-Computing will be in high demand

Working on real-time data is a high priority today and a necessity as well. As IoT and Big data both enable on-demand and real-time action, the importance of deployment of these technologies is high. In this view, the popularity of edge computing is also becoming very high.

As the IoT and big data are closely linked, there are many examples out there of organizational benefits to put them to good use.

Conclusion

The convergence of IoT and big data can provide new opportunities and applications in all the sectors. Along with that, it has the potential to revolutionize many aspects of our society. As an aspiring technology professional if you want to dig these promising areas, then at Whizlabs we leverage the facilities to gain knowledge in latest technologies like big data.

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Have any questions regarding IoT and Big Data? Submit here or write down in the comment section and we’ll be happy to help you!

About Amit Verma

Amit is an impassioned technology writer. He always inspires technologists with his innovative thinking and practical approach. A go-to personality for every Technical problem, no doubt, the chief problem-solver!
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1 COMMENT

  1. Amit, I agree the IoT and big data is a great match. With the explosion of big data companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it’s computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quickly and simply. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. Their built-in Machine Learning Library and Matrix processing algorithms can assist with business intelligence and predictive analytics.

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