SIZ Education | Difference between Data Mining & Big Data
So, let's start now i come back to our community and as you know this my blog and today i select oir community for make my informative post for our community members.
Now in this week from my previous posts i just shared tech diary game and my tech activities with our steem but i didn't share any informative and educational post for our community members.
Now i decide to make my post on SIZ Education because today is Friday and according to community day wise content creation breakdown , today i also make posts on siz education and tech diary game.
But today i decide to make my post on technology and try to share a very useful qnd helpful information about different technologies. so, now we are discuss about the short difference between Data Mining and Big Data. I hopey today post is very important and useful for everyone else who love with technology.
So, let's start go to on my blog and start to write a good informative and useful information for our community members.
Big Data
Big data is refers to significantly large amount and large data sets that may be contain on the hidden information that could not be discovered using different traditional methods and different tools.
The porpose of big data is to discover insights from the data sets that are the drivers or complex and of the massive scale.
Big data can be defined by the three major artibutes or some characteristics and the three vs is variety, volume and volecity.
Big Data is use in cases include financial services and airlines and trucking companies, healthcare and midia or the entertainment e-commerce and etc.
Data Mining
Data mining ia the process of shifting through the massive piles of data for information and actionable insights. Data Mining is deals with the analysis of data and modeling to understand the complexity of world.
Data mining is justa a part of a border information or knowledge to discover forms data process. The purpose of data mining is to find a patterns. anomiles and correlation in the large stores of data.
Data Mining is about to the uncovering of valuable knowledge or data from the tremendous amount of data and transportation such as data into organized knowledge.
Data mining is applied on the various forms of data to find the interesting patterns which are earlier not know
Applications of data mining is included predicated customer behavior, credit analysis, and detection of fraud, descovering relationships between disease, and business and intelligence.
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Hello @mazharfreed, your post contains plagiarism. In Steemit plagiarism is not tolerated. I recommend using your creativity to create original content.
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Ohh I am so sorry for this mam. I just take help from my book notes . But I don't think about this because just this line is same with another website.
Thank you for your help and guidance now i be careful about this mistake.
Thank you so much @daytona475.
Please avoid from plagiarism.
This is not a good habit on steemit.
Report,
Yes sure i am so sorry for this.
I just didn't understand about this.
Thank you for your checking