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

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.

Characteristics of big data( 4v’s)

Distributed storage concept

In recent years, building a large-scale distributed storage system has become a hot topic. Distributed consensus algorithms like Paxos and Raft are the focus of many technical articles. But those articles tend to be introductory, describing the basics of the algorithm and log replication. They seldom cover how to build a large-scale distributed storage system based on the distributed consensus algorithm.

A high level architecture of master-slave not cluster for distributed storage
A high level architecture of master-slave not cluster for distributed storage
Data distribution of HDFS DataNode

How are the top MNCs using big data for there Advantage

1. Using big data analytics to Boost Customer Acquisition and Retention

It is good thing to know that your business has all the data you need to truly know and understand your customers. The key is to make sure you have the required big data analytics to get the most out of the data at your disposal, depending on the type of business you are in. Accurate analytics will give your business the capability to derive critical behavioral insights you can act upon.

2. Use of big data Analysis to solve Advertiser problem and giving Market insights

Using the power of data analytics, advertisers can identify emerging trends and provide real-time live ad options. Since the key component of advertising is reaching the right audience at the right time, big data will help predict purchase , identify and analyze consumer behavior and the type of performance that certain segments of your audiences will perform against.

3. Big data Analytics as a Driver of Innovation and Product Development

To overcome challenges from relatively new competitors (e.g., Hyundai, Skoda, and Tata), Ford Motors is using consumer analytics to start its own revolution in product innovation and design. Ford captures primary consumer data from around four million of its vehicles on the road through sensors and remote app-management software [29]. After analyzing the data collected from the car’s voice-recognition system, Ford realized that the immediate surrounding noise interfered with the software’s ability to understand driver commands, leading to the introduction of automatic noise reduction technology and the repositioning of microphones to better capture the driver’s voice [29]. Ford facilitates product innovation in a rapid manner using Big Data without waiting for insights from traditional marketing research such as focus groups and surveys

4. Use of Big data in Supply chain Management

Big data is also helping companies manage more responsive supply chains as they can better comprehend customers and market trends, and thus, are able to predict and proactively strategist supply chain-related activities.

Examples of how some MNCs are using Big Data Analytics


Since launching in early 2004, Facebook has grown into an online community where 890 million individuals log on each day. People share thoughts, photos, links and videos and like, share and comment on each other’s status updates. Users have uploaded a staggering 250 billion photos, with 350 million new photos each day.There’s a lot of data stored on Facebook, and a lot of its users’ own content. That content is the most important asset on the service, and users need to believe it’s secure, otherwise they won’t share. Getting storage right is critical.


So, how does Netflix use data analytics? By collecting data from their 151 million subscribers, and implementing data analytics models to discover customer behaviour and buying patterns. Then, using that information to recommend movies and TV shows based on their subscribers’ preferences.


Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon’s retail business has more than 175 fulfillment centers worldwide with more than 250,000 full-time associates shipping millions of items per day.


Google has made Big Data solutions even more reachable, available, and usable- to both companies who want to invest (Google Cloud Solutions), as well as those that don’t have the financial resources to do so (Data Solutions for Change program).

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