Last Updated on 5 years ago by Imarticus Learning
Big Data and IoT cannot exist without one another in today’s digital era. The two technologies are pushing the technological revolution across the world in a big way and here’s how.
Today you can simply go for a run or a walk and your wearable gadget will not only tell you how many steps you have taken but also take your calls, turn off the lights in your house in case you have forgotten. This is the power of Internet of Things or IoT.
A lot of devices such as smartphones, smart-homes , DHL’s tracking and monitoring systems, smart security are run on IoT. So what is IoT? Simply put IoT is the ability of a device to communicate with another device over the internet. These devices or networks are enabled by IoT which gives them the option to connect, communicate, send and receive and store data.
By 2020, the IoT industry is set to grow by 330 million dollars according to a Gartner study. When combined with the power of data analytics or big data, IoT will disrupt the way industries function. Big data means the ability to analyze large volumes of data at a great velocity and provide valuable insights.
This can be both unstructured and structured data that is dense and can be stored. The sheer volume of data that is processed at an incredible speed gives big data its name. Big Data courses provides industries with valuable insights and information on their customers, behaviors, spending habits which in turn can help enhance customer experience.
Now that we have a better understanding of Big Data and IoT, here are the ways in which both technologies are complimenting each other and driving digital transformation
Storage of Data
Today there is an abundance of data which is processed on a day to day basis. From videos watched on Youtube to messages sent over the internet, data is created, stored and proceeded at an unprecedented rate. This means that large scale digital centers need to be set up to store data load.
Hence organizations are using IoT based infrastructure to move into a platform as a service model or a cloud solution to store data. These systems provide flexibility and scalability of data storage.
Data Security
The vast of amounts of IoT data processed will also contain a lot of secure information that cannot be stored on public networks or devices. There needs to be well established protocols in place to combat theft of data and other fraudulent crimes. A lot of organisations are using programming languages such as Hadoop or Hive to store data with proper protocols in place.
Gearing for the future
Once a proper data storage system has been set in place, there needs to be enough infrastructure to support growth and performance. This means that there will also be new job opportunities created in the IoT space to maintain and process analytics.
Conclusion
IoT is remarkable in many ways, and when it combines with the forces of data, it is able to manipulate the data and provide valuable solutions to organisations. They both are closely connected have enabled the growth and transformation of many businesses today.