All about IOT Big Data

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You must be wondering as to what the correlation is. This is between IoT, viz. Internet of Things and Big data. If you look at IoT, it connects objects or persons via the internet. Life becomes a simplified one, by making use of this technology, on a daily basis.

Take Big data. You procure big data from big companies, organizations and from leading brands. However, you need data processing units to segregate this data into meaningful ideas or insightful trends. In this online guide, we are going to have a look on All about IOT Big data. In other words, you will know how these two terms can be clubbed together to make a phenomenal breakthrough at the technological world.

Conceptual understanding on IoT and Big data

What is your understanding of the term IoT or Internet of Things?

IoT simply refers to a system wherein persons or objects are connected via the internet. The ‘thing’ factor refers to the object or a device. How do you think these are connected to the internet? The object, thing or the person involved will be assigned with an IP address. Hence, data packets are collected or received via the machine itself. Through embedded technology, you make things happen sans human intervention. This way, the machines are able to connect to the external environment. Or make decisions for internal domains too.

What do you understand by the term ‘Big Data?’

Big data refers to structured, semi-structured and unstructured data that is available to you in huge volumes. The data measures in Petabytes or Gigabytes. Business or software analysts de-code the same to bring about meaningful or insightful info and trends to the society.

Relationship between Big data and IoT

Basically, it is estimated that roughly 4.4 trillion GB worth data can be generated via IoT enabled devices. Now, this is a huge quantum of unstructured data that requires processing, analysis and invoking decision making initiatives. It has also been estimated that by the end of 2020, tens of billions of sensors and devices will be connected to the internet.

As you all are well aware of, these devices will receive data packets to process, analyze, transmit and share. And this happens on a real-time basis. Without data analysis or proliferation, IoT devices wouldn’t have achieved so much enough to grab a world-wide attention.

Role of big data working in tandem with IoT

If you have a look at large corporations or industrial setups, they grab data to analyze varied trends. To arrive at meaningful info or data snippets, IoT becomes the primary hub. You may ask how? Well, you get a huge quantum of unstructured data via devices or sensors. Hence, you can have IoT as the primary source of giving data to data processing units. Here is where the role of big data in IoT comes into the picture.

Big data analytic firms now capture the data that has been transmitted via a number of sensors or devices. This way, these data processing hubs de-code the info and arrive at meaningful consumer trends and other initiatives for an improved degree of decision-making.

How does Big data process IoT?

The role of big data analytics is to process a huge amount of data on a real time basis and storing them under different technologies. There are 5 sequential steps on how IoT is processed by big data. These are as follows:

1. A huge volume of unstructured data gets generated via IoT and related devices. This data dump is directly collected by the data processing systems.
2. Big data depends on their 3V’s. These are volume, velocity and variety.
3. As you see, big data is a system that comprises shared distributed databases. The huge volume of data that is generated via IoT connected sensors or devices can therefore be stored in big data files.
4. You can analyze the stored data using analytics tools like Hadoop, MapReduce and Spark.
5. The reports of analyzed data can then be generated.

What happens next?

As you have already seen, IoT collects a huge volume of unstructured data via sensors or devices connected to the internet. The big data systems take the dump into storage processing units and scan or analyze data. This way, data analysis is done by big data systems at a lightening speed. Hence, the machines gain rapid insights from data. Decisions can be made by reviewing the analyzed data. Hence, the role of IoT in big data is compelling.

How will IoT impact the growth of big data?

You find that IoT and Big data are not only dependent on each other but can also influence one another. As IoT starts growing at an exponential pace, the demand for businesses handling big data capabilities also increases. Say for instance, IoT generated data is up to 4.4 trillion GB, then conventional data storage capacities will have to be pushed beyond their limits.

Henceforth, as the demand for IoT increases, the demand for innovative and huge volume big data vaults also increases. This is in order to bear the growing work loads. As a result, you will have to update the infrastructure of an organization’s big data storage.

Conclusion

All about IoT big data is a concept that can be unveiled at a greater elaboration indeed. But you have seen how big data and IoT are interlinked with one another. By using IoT and big data systems, you can examine or reveal trends. You can discover unforeseen patterns. You can try figuring out innovative ways to unveil hidden configurations or correlations. Above all, you can reveal new information to consumers, economies, growing industries, etc.

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