The Internet of Things (IoT) and big data are both highly complex ideas. IoT is about data, devices and their connectivity. The real importance of Internet of Things is about creating smarter products and delivering smarter insights. As millions of devices get connected, internet of things will trigger a massive inflow of Big Data. Big Data generated from a web of IOT devices is necessary to create these smarter products and to get better insights. Lets first take a look at Big Data and its attributes.
Big Data
To really understand big data, it helps to have some historical background. Here is Gartner’s definition (which is still the go-to definition): Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity. Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
The Three V’s of Big Data:
Volume
The amount of data matters. With big data, you’ll have to process high volumes of low-density, unstructured data. Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more. This can be data of unknown value, such as Twitter data feeds, clickstreams on a webpage or a mobile app, or sensor-enabled equipment. For some organizations, this might be tens of terabytes of data. For others, it may be hundreds of petabytes.
Velocity
With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. The rate at which data is received and acted upon is velocity. The highest velocity of data streams directly into memory rather than being written to disk. Some internet-enabled smart products operate in real time or near real time and will require real-time evaluation and action.
Variety
Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions. Variety refers to the many types of data that are available. With the rise of big data, data comes in new unstructured data types. Unstructured and semi-structured data types, such as text, audio, and video, require additional preprocessing to derive meaning and support metadata.
We can also consider three additional dimensions when it comes to Big Data:
Variability
In addition to the increasing velocities and varieties of data, data flows are unpredictable – changing often and varying greatly. It’s challenging, but businesses need to know when something is trending in social media, and how to manage daily, seasonal and event-triggered peak data loads.
Veracity
Veracity refers to the quality of data. Because data comes from so many different sources, it’s difficult to link, match, cleanse and transform data across systems. Businesses need to connect and correlate relationships, hierarchies and multiple data linkages. Otherwise, their data can quickly spiral out of control.
Value
This V describes what value you can get from which data and how big data gets better results from stored data. It represents the business value of the data collected. The utility of the data extracted.
This is what big data is essentially about. Now lets take a look at IOT:
Internet Of Things (IOT)
The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Simply put, the Internet of Things is made up of devices – from simple sensors to smartphones and wearables – connected together. The Sensors or the actuators play a vital role here, as it is directly connected to the “things” and grasps the data from them. These “connected” or “smart” devices, can sometimes talk to other related devices and act on the information they get from one another. Now lets take a look at the connection between IOT and Big Data.
IOT and Big Data
There is no doubt, different techniques are used for data collection and storage. One of the major aspects of data collection is IoT that makes it easy to work upon several workflows. The IoT is a series of creeks and rivers that feed into an ocean of big data. The enormous collection of connected sensors, devices, and other “things” that represent the IoT is making a significant contribution to the volume of data collected.
IoT use cases span a wide swath of uses and sectors, from agriculture to smart devices to machinery. Sensors connected in real time help do this. This provides productivity and improvement in terms of data safety and working routine. Also, the connected objects work well in terms of different fields that makes it convenient to extract data. There is an integrated system in the big data and IoT data that makes industries to depend on IoT Application Development.
Impact of this fusion
- Customer engagement
The integration in the application has a huge role in the engagement of customer and client. This makes it possible for companies to work with the advancement as per the strategies that take it to the next level. The motive to do so is by making it fast and easy in terms of size.
- Customized promotion
The IoT App Development Company can incorporate it amazingly well to ensure that the system or dynamic nature is maintained. This can be achieved with the help of customer experience that will be automatically customized for product promotion. Customers will receive the updates that they prefers.
- Mobile experience
The advancement in technology has taken us to a new format of mobile experience in today’s world. It is becoming essential to connect IoT and big data in such a way that the mobile application can enhance the experience of the customer and work upon the different aspects such as mobile payments.
In conclusion, Big data and IoT are distinctive ideas, but they depend on each other for ultimate success, both emphasize the need for converting data into tangible insights that can be acted upon.
