The Use case of Big Data in Facebook

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Facebook Is Using Big Data?
How
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Introduction
According to the current situation, we can
strongly say that it is impossible to see a
person without using social media. Because the
world is getting drastic exponential growth
digitally around every corner of the world.
According to a report, from 2017 to 2019 the
total number of social media users has been
increased from 2.46 to 2.77 billion.
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Average Time Spend On Social Media
People are using Facebook, Instagram, WhatsApp,
and other social/Messaging medium while doing
their daily routines. So, this caused the average
time spent on social media by an individual has
been increased to 2 hours 22 minutes.
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What Happens in 1 Minute..
Some Interesting Statics Of Social Media An
article from Excellacom in 2016 what happens on
the internet at one minute? Let me give some bits
from that. In one minute...
700,000 logins on Facebook
Around 530,000 photos are shared on Snapchat
Around 350000 tweets are tweeted on twitter
30,000 photos are shared on Instagram
21 million messages on WhatsApp
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How Much Data Does Facebook Generates ?
In 2012, Facebook has revealed that it is
generating around 500 terabytes of data every
day. In which 2.7 billion were likes and around
300 million photos per day. Another exciting
thing is Facebook is scanning around 105
terabytes of data per each half hour.
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How Facebook Is Handling all These Datas ?
To handle all this data, Organizations like
Facebook have adopted BIG DATA Technology. Here
we gonna discuss how Facebook is using big data
analytics? Why they are using big data analytics.
Lets discuss more.
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How Big Data Is Used in Facebook?
The main business strategy of Facebook is to
understand who their users are, by understanding
their user's behaviors, interests, and their
geographic locations, facebook shows customized
ads on their user's timeline. How it is possible?
There are around billion levels of unstructured
data has been generated every day, which contains
images, text, video, and everything. With the
help of Deep Learning Methodology ( AI), Facebook
brings structure for unstructured data.
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Deep Learning In Facebook
1. Textual Analysis

Facebook uses DeepText to analyze the text data
and extract the exact meaning from the contextual
analysis. This is semi-unsupervised learning,
this tool wont need a dictionary or and dont
want to explain the meaning of every word.
Instead, it focused on how words are used.

2. Facial Recognition

The Tool used for this is DL Application, that is
DeepFace which will learn itself by recognizing
people's faces in photos. That's why we're
getting the name of the friends while tagging
them in a post. This is an advanced image
recognition tool because it will recognize a
person who is in two different photos is the same
or not.
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Deep Learning In Facebook
3. Target Advertisements

Facebook uses deep neural networks to decide how
to target audience while advertising ads. This
Artificial intelligence can learn itself to find
as much as can about the audience, and cluster
them to serve them ads in a most insightful way.
Because of this serving the highly targeted
advertising, Facebook has become the toughest
competitor for the ever known search engine
Google.

Likewise, Behind the Facebook business model,
there are a lot of interesting data handling
methodologies are there, and there are a lot of
controversial things behind facebook business
flow. But, we dont want to focus on those
things.

So hope we had a short info on how facebook is
using big data, In upcoming articles we will
discuss how big data is used in ecommerce
industry.
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Published By Bibrainia -Thank you -