Case Study and Analysis on Big Data

How this Big Data problem generate in industry ??

In the today's social media world big companies like facebook , instragram etc have lots of data of users in the form of user's information , user's posts, users's images etc so these companies need storage of ZB and more beyond of storage whatever storage have in storage appliances like Dell EMC , AWS , IBM etc in the world. So this Problem is known as Big Data.

I would like to explain some of the problems of Big Data:-

Volume

Volume is biggest problem in the Big Data world in today at front of Social Media Companies. In this problem , where we have big units of data but we have less units of storage (Hard Disk).

Velocity

Velocity(I/O operations) is one another biggest problem in the Big Data world , that is we have to execute the lots of data from storage (Hard Disk) to RAM and for permanently store the data from RAM to storage , in this process it takes lots of time .

-> For solving the problems of volume and velocity in Big Data , Distributed Storage concepts come in industry .

Distributed Storage

Companies use distributed storage for storing the Big Data into lots of commodity hardware at low cost. They create a own distributed storage cluster , in which lots of slaves and masters where main data is present .

-> Analysis on Big data on some big forms basically social media platform like Facebook , instagram :-

Facebook data analysis

• There are approx 1.49 billion active users.
• Facebook adds 500,000 new users every day; 6 new profiles per second .
• Hive is Facebook’s data warehouse, with 300 petabytes of data.
• Facebook generates 4 new petabytes of data per day.
• Users generate 4 million likes every minute.
• More than 250 billion photos have been uploaded to Facebook.
• equates to 350 million photos per day.
• Facebook now sees 100 million hours of daily video watch time.

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