How big MNC’s like Google, Facebook, Instagram etc stores, manages and manipulate Thousands of Terabytes of data with High Speed and High Efficiency.
In this article i am going to give the idea about the need of big data and what is big data and also i am going to give some brief case studies of big MNC’c which gets huge data on daily basis.
WHAT IS BIG DATA?
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.
NEED OF BIG 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.
For example, big data can provide companies with valuable insights into their customers that can be used to refine marketing campaigns and techniques in order to increase customer engagement.using a customer’s data different branches of analytics try to analyze the data in following ways :-
- Comparative analysis:- This includes the examination of user behavior metrics and the observation of real-time customer engagement in order to compare one company’s products, services and brand authority with those of its competition.
- Social media listening:- This is information about what people are saying on social media about a specific business or product that goes beyond what can be delivered in a poll or survey. This data can be used to help identify target audiences for marketing campaigns by observing the activity surrounding specific topics across various sources.
- Marketing analysis:- This includes information that can be used to make the promotion of new products, services and initiatives more informed and innovative.
- Customer satisfaction and sentiment analysis:- All of the information gathered can reveal how customers are feeling about a company or brand, if any potential issues may arise, how brand loyalty might be preserved and how customer service efforts might be improved.
MAIN FACTORS WHICH AFFECT THE BIG DATA:-
There are mainly six Vs which describe the actual meaning of big data and why we need to manage and manipulate this huge data to grow and gain the trust of customers.
HOW BIG DATA IS STORED AND PROCESSED:-
To store this much of big data we need to use a concept distributed storage management by set a cluster of different servers using master slave model .
The need to handle big data velocity imposes unique demands on the underlying compute infrastructure. The computing power required to quickly process huge volumes and varieties of data can overwhelm a single server or server cluster. Organizations must apply adequate processing capacity to big data tasks in order to achieve the required velocity. This can potentially demand hundreds or thousands of servers that can distribute the processing work and operate collaboratively in a clustered architecture, often based on technologies like Hadoop and Apache Spark.
CASE STUDIES OF BIG MNC’s:-
1.Facebook:-
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.
2.Youtube :-
Although there are no official figures for YouTube streaming, according to NBN Co and IPSTAR, the standard playback is as follows. That means that we as a global community use around 440,000 Terabytes of data on YouTube every day. And that doesn’t even include uploading videos.
3.linkedin:-
Linkedin incorporates data analytics and intelligence to understand what kind of information you’d like to read, what subjects interest you most, what kind of updates you like and putting together the aggregated real-time news feed for you.
4. Twitter:-
There are 330m monthly active users and 145 million daily users.
A total of 1.3 billion accounts have been created.
Of those, 44% made an account and left before ever sending a tweet.
Based on US accounts, 10% of users write 80% of tweets.
22% of Americans are on Twitter.
There are 500 million tweets sent each day. That’s 6,000 tweets every second.
5.Internet:-
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
6.Email:-
Don’t think with these increases in social media, that email is going away anytime soon! Email use continues to grow. The Email Statistics Report 2019–2023 by the Radicati Group confirms this — 293 billion emails are sent daily in 2019, and this is expected to grow by 4.2% yearly to 347 billion in 2023. According to the same report there are 3.9 billion email users in 2019, and will increase to 4.4 billion by the end of 2023.
7.Data created by the Internet of Things (IOT):-
IDC forecasts a 3 percent growth in wearable devices from 2018–201. There were 28.3 million wearable devices sold in 2016, and estimates that 198 million will be sold in 2019. A 600% increase in just 3 years.
Smart watches were 44.2% of the wearables market in 2019, and that is aniticipated to increase to 47% by 20233
Between 2016 and 2022, IoT devices are expected to increase at a rate of 21 percent, driven by new use cases. In 2018, mobile phones are expected to be surpassed in numbers by IoT devices, which include connected cars, machines, meters, wearables and other consumer electronics.
Pratt & Whitney’s Geared Turbo Fan (GTF) engine is fitted with 5,000 sensors and can generate up to 10GB of data each second
Uber is releasing 6 years of transportation data to cities to help them plan public transit
Business insider predicts that by 2020 75 percent of cars will come with built-in IoT connectivity.
8.Mobile Device Data:-
The amount of mobile data is also blowing up — at the start of 2014, mobile phones/tablets uploaded and downloaded around 2 exabytes (1 exabyte = 1 billion gigabytes) of data. At the start of 2017, data created on mobile devices quadrupled to over 8 exabytes.
At the start of 2017, there were 394 billion mobile internet users. There are now over 5 billion mobile device users in 2019. A 67% penetration of the entire global population.
Approximately 21.9 billion text messages are sent each day in 2017, compared to 7 billion in 2016 — a 17% increase in just one year.
9.pinterest:-
Pinterest now has 88 million MAUs in the U.S., marking an 8% year-over-year growth. The stats, which were announced February in the company’s Q4 earnings call, blew most analyst estimates out of the park. In fact, eMarketer had projected Pinterest would close 2019 with 82.4 million U.S. users
Conclusion:-
With the various technologies it holds, Big Data helps almost every company or sector that aspires to grow. Analyzing large datasets that are associated with the events of the company can give them insights to increase their customer satisfaction.
