How big MNC’s like Google, Facebook, Instagram etc stores, manages and manipulate Thousands of Terabytes of data with High Speed and High Efficiency.

What is Data?

The quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media.

WHAT IS BIG DATA ?

Big Data is also data but with a huge size. Big Data is a term used to describe a collection of data that is huge in volume and yet growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently.

Characteristics Of Big Data

(i) Volume — The name Big Data itself is related to a size which is enormous. Size of data plays a very crucial role in determining value out of data. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. Hence, ‘Volume’ is one characteristic which needs to be considered while dealing with Big Data.

(ii) Variety — The next aspect of Big Data is its variety.

Variety refers to heterogeneous sources and the nature of data, both structured and unstructured. During earlier days, spreadsheets and databases were the only sources of data considered by most of the applications. Nowadays, data in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. are also being considered in the analysis applications. This variety of unstructured data poses certain issues for storage, mining and analyzing data.

(iii) Velocity — The term ‘velocity’ refers to the speed of generation of data. How fast the data is generated and processed to meet the demands, determines real potential in the data.

Big Data Velocity deals with the speed at which data flows in from sources like business processes, application logs, networks, and social media sites, sensors, Mobile devices, etc. The flow of data is massive and continuous.

(iv) Veracity — This refers to the inconsistency which can be shown by the data at times, thus hampering the process of being able to handle and manage the data effectively.

Can you guess how the data generated across the globe were handled about 10–12 years ago? Relational databases were mainly used to manage data until the advent of Hadoop technology. Do you know that 95% of such data is unstructured as of now and the percentage is growing enormously? The data in the world is projected to grow 50 times in 2020 compared to the data in 2011. Now, you may ask what unstructured data is. It is nothing but video, images among many others which are produced in incredible proportions. A lot of such data is generated thanks to free and scalable social media networks. But how do top tech MNCs process this huge amount of data to derive business decisions from them?

The more Important thing is that the data use in petabytes and it is very difficult to use that why big data come into the picture and million of data can by use in second by any mnc companies like google, facebook, netflix etc..

How much data used in the big mnc companies per day…..

1.GOOGLE:-

A data center normally holds petabytes to exabytes of data. Google currently processes over 20 petabytes of data per day through an average of 100,000 MapReduce jobs spread across its massive computing clusters.
How much data does google handle??

Commonly a PC holds 1TB of storage data and a smartphone holds about 64GB, but as days pass there are newer PCs and smartphones with bigger storage than this. We all know Google is the only one who can answer any kind of question!! We simply conclude that Google knows everything!! And Everything means Everything! Now you must be wondering how much data does google handle to answer all these questions!!??
Google now processes over 40,000 search queries every second on average, which translates to over 3.5 billion searches per day and 1.2 trillion searches per year worldwide.

2. FLIPKART..

Flipkart gets 10 terabytes of user data each day from browsing, searching, buying or not buying, as well as behavior and location. This jumps to 50 terabytes on Big Billion Day sales days. There’s also order data, shipping data, and other forms of data captured by different systems.

Sub Problems under the Big Data:-

1. VOLUME:
2. VELOCITY
3. Etc.

3. FACEBOOK :-

• The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc.

4. JET ENGINE:-

• A single Jet engine can generate 10+terabytes of data in 30 minutes of flight time. With many thousand flights per day, generation of data reaches up to many Petabytes.

5. YOUTUBE:-

We exist in a content hungry society. Every second person is creating and posting videos online, whether it’s for fun or for profit, and we are all devouring that content. Over 1 billion hours of YouTube is watched globally per day.

Whether you’re watching because your favourite vlogger dropped a new video, or you’re stuck on the side of the road learning how to change a tire — those videos are costing you data. Read on to find out just how much data YouTube uses.

How much data YouTube will use depends on the quality of your video playback. Watching a YouTube video at the standard 480p uses around 260MB per hour, while Full HD viewing can chew through 1.65GB. 4K video playback on YouTube will use as much as 2.7GB of data every hour.
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.

6. NETFLIX

The entertainment streaming service has an abundance of information and examination, giving knowledge into the survey propensities for many global customers. Netflix utilizes this information to commission unique programming content that interests all around just as acquiring the rights to movies and arrangement boxsets that they realize will perform well with specific crowds.
For instance, Adam Sandler has demonstrated disliked in the US and UK showcases as of late, yet Netflix green-lit four new films with the on-screen character in 2015, equipped with the information that his past work had been effective in Latin America.

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