How Big Is Facebook’s Data? and What is the solution to handle data?

The Amount of Data Created Each Day on the Internet in 2019

In 2014, there were 2.4 billion internet users. That number grew to 3.4 billion by 2016, and in 2017 300 million internet users were added. As of June 2019 there are now over 4.4 billion internet users. This is an 83% increase in the number of people using the internet in just five years!

Per day data upload at Social media

·Reports show that almost 300 million new social media users each year. That is 550 new social media users each minute.

· Since 2013, the number of Tweets each minute has increased 58% to more than 474,000 Tweets PER MINUTE in 2019!

·Youtube usage more than tripled from 2014-2016 with users uploading 400 hours of new video each minute of every day! Now, in 2019, users are watching 4,333,560 videos every minute.

·  300 hours of video are uploaded to YouTube every minute!

·  Instagram users upload over 100 million photos and videos overyday. That is 69,444 million posts every minute!

·  Users spend nearly one hour a day on Facebook, but Instagram and Snapchat are quickly catching up.

·  Since 2013, the number of Facebook Posts shared each minute has increased 22%, from 2.5 Million to 3 million posts per minute in 2016. This number has increased more than 300 percent, from around 650,000 posts per minute in 2011!

·  Every minute on Facebook: 510,000 comments are posted, 293,000 statuses are updated, and 136,000 photos are uploaded.

· There are over 38,000 status updates on Facebook every minute.

· Facebook users also click the like button on more than 4 million posts every minute!, and the Facebook like button has been pressed 13 trillion times.

· Over 3.5 Billion Google searches are conducted worldwide each minute of everyday. That is 2 trillion searches per year worldwide. That is over 40,000 search queries per second!

·  Worldwide over 100 million messages are sent every minute via SMS and in-app messages!

· 26 billion texts were sent each day by 27 million people in the US. That is 94 texts per day per person in the US in 2017.

If we do some quick calculations, we can see the amount of data created on the internet each day. There are 1440 minutes per day…so that means there are approximately:

· 1,209,600 new data producing social media users each day.

· 682 million tweets per day!

· More than 4 million hours of content uploaded to Youtube every day, with users watching 5.97 billion hours of Youtube videos each day.

·  67,305,600 Instagram posts uploaded each day

·  There are over 2 billion monthly active facebook users, compared to 1.44 billion at the start of 2015 and 1.65 at the start of 2016.

·  Facebook has 1.58 billion daily active users on average as of Q2 2019

· 4.3 BILLION Facebook messages posted daily!

· 5.76 BILLION Facebook likes every day.

How Big Is Facebook’s Data? How Facebook store or manage the Data?

Facebook revealed some big, big stats on big data to a few reporters at its HQ today, including that its system processes 2.5 billion pieces of content and 500+ terabytes of data each day. It’s pulling in 2.7 billion Like actions and 300 million photos per day, and it scans roughly 105 terabytes of data each half hour. Plus it gave the first details on its new “Project Prism”.

Big data really is about having insights and making an impact on your business. If you aren’t taking advantage of the data you’re collecting, then you just have a pile of data, you don’t have big data.” By processing data within minutes, Facebook can rollout out new products, understand user reactions, and modify designs in near real-time.

Another stat Facebook revealed was that over 100 petebytes of data are stored in a single Hadoop disk cluster.

What is Big Data?

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. ... Big Data helps the organizations to create new growth opportunities and entirely new categories of companies that can combine and analyze industry data. Big Data helps the organizations to create new growth opportunities and entirely new categories of companies that can combine and analyze industry data. These companies have ample information about the products and services, buyers and suppliers, consumer preferences that can be captured and analyzed.

While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs:

Solution : The problem is Bid Data and solution is also Big Data. To solve this problem of Big Data we use Hadoop .

Thank you