How big MNC’s stores, manages and manipulate thousands of terabyte of data with high speed and high efficiency.

Hello everyone…!

In this article we will know the following :-

• What is data?
• Where the data stored?
• What is server?
• What are the issues that MNC’s are facing to store their users data in their particular server’s?

->Data:-

Data are measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.

Cloud storage is a model of computer data storage in which the digital data is stored in logical pools, said to be on "the cloud". The physical storage spans multiple servers (sometimes in multiple locations), and the physical environment is typically owned and managed by a hosting company.

->Server:-

A server is a computer that provides data to other computers. It may serve data to systems on a local area network (LAN) or a wide area network (WAN) over the Internet. Many types of servers exist, including web servers, mail servers, and file servers. Each type runs software specific to the purpose of the server.

Examples of how some MNCs are using Big Data Analytics:-

Multinational companies like google , Facebook etc have many number of users.To store their data in safe and secure ,it’s a big challenge infront of MNC’s . These MNC’s consumes thousands of terabytes of data everyday .

Example:-

1. Facebook uses approximately 500TB of data per day.
2. Google uses approximately 20petabytes of data per day.

To store this much of data it’s really a big task to the MNC’s. To overcome this task many MNC’s are ready to invest more money but no company is ready to make such huge storage devices.

Google came up with it’s idea to store it’s data in the form of cloud storage.

=>Some of google’s server types:-

1. Web server
2. Data gathering server
3. Index Server
4. Document server
5. Ad’s server
6. Spelling server

Now google itself providing every individual to use their own mail ID’s and store their data in their own cloud .

Ex:- google drive , google photos etc

So , by this every individual can access fast to their data. These server’s are placed in the safe house of google ,data scientist’s of google can access to that buliding by these no one can break their companies data.

The online retail has got access to a gigantic measure of information on its clients; names, locations, installments, and search accounts are altogether documented in its information bank. While this data is put to use in publicizing calculations, Amazon likewise utilizes the data to improve client relations, a region that numerous big data users disregard.

Whenever you contact the Amazon help work area with an inquiry, don’t be astounded when the worker on the opposite end has already received a large portion of the relevant data about you close by. The applicable data takes into consideration a quicker, progressively practical client administration experience that does exclude illuminating your name multiple times.

Finally,Good analytics of your big data can give you many advantages. These are some of the fundamental ways in which MNCs are using big data. There is much more to this picture. But these are some of the very basics for big data analytics. Look for a way to up your knowledge and training about big data hadoop.

Thankyou for sparing your valuable time to read this article.