When the world deals with the big data d IOT both, here we are concern about getting the difference between the two.
For a simple definition of the two,
Big data is for universal system that deals with the huge amount of data. For example the financial institutions or the stock market
While the Internet of things or better abbreviated as ioT plays under the umbrella of the big data. This is due to the creation of huge new data by different devices.
Obviously they are interlinked. But that does not confirm that they are similar. There has to be a bit of difference among the two separate terms. But both of them are useful in the technological applications. They are helping to upgrade to every possible advanced technologies.
Datamites is providing IoT training in Bangalore. If you wants to be IoT expert contact Datamites. You can learn IOT in Hyderabad and Pune at Datamites.
Thus both of them have drastically brought changes to the tech environment.
On overview of the differences – Big data Vs IOT
Now the difference between the two concepts is described very simply:
BIG DATA
|
IOT
|
It fully relates with the data that is being
received or shared. It resolves around the information only. Thus
it encourages organization to make use of more and more data
|
Its not about data but the devices which is
creating the data. Various solutions and services are connected.
Thus through these services they collect data from different
sources. Thus it’s only about collecting data. Also it can
analyze the data in the real time event.
|
Big data analyses only the data which are being
collected by the human being. Some of such sources may be the
emails, social media networking, photos and videos uploaded at
various sites etc.
|
It is all about aggregation and compression of
large data collected by different machine generated sources. This
data can come form wide varieties like the RFIDs, Fitness tracker
, Virtual reality devices and smart air purifiers and many more.
|
In the matter of big data and those data
related projects, the data are kept for rest before being
analyzed. There is no guarantee that it will be used immediate.
They are used for the predictive maintenance, capacity planning,
revenue protection and many more
|
It’s all about its absolute essence. It only
supports the use of the real time. The application may be fraud
detection, bidding, and security breach.
|
Root cause can be detected very fast if you
experience any kind of failures. This is done by analyzing the
data and the information.
|
Tracking and monitoring various items or tasks
is possible with the ioT. Tracking of the trucks, engines, HVAC
systems. Reset the problem and correct it as soon as you detect
it.
|
So here are some of the differences between the two terms.
Not only they are different, they are similar too
But only difference explanation will not be fair to end the discussion. Both are incomplete with each other and so both are essential to incorporate the function. The problem can e solved more accurately when both are taking action combining with each other. Thus a lot of time can be saved in fixing the bugs and error of any system or device. It is all about getting advanced form being reactive to reactive pro.
