In the era of technology, where Wealth is Data and Data is Wealth. Have you ever wondered how these tech giants stores there data. And how come they could do that. Today we’ll be learning about how tech giant handle their data.

What is Big Data ?

Big Data is a term that describes the large volume of data — both structured and unstructured ,that inundates a business day to day basis. But it’s not the amount of data that’s important . It’s what organization do with data that matters.

Big Data Storage problem of Google :

Imagine you want to search about anything and the results takes hours to load.will you still use it.No Right? and these problems are called Big data and the solution is also called Big data. Amazed!! There’s lot more for you to amaze.

Some Quick Stats

Google gets over 3.5 billion searches daily.
Google remains the highest shareholder of the search engine market, with 87.35% of the global search engine market share as of January 2020. Big Data stats for 2020 show that this translates into 1.2 trillion searches yearly, and more than 40,000 search queries per second.

WhatsApp users exchange up to 65 billion messages daily.
5 million businesses are actively using the WhatsApp Business app to connect with their customers. There are over 1 billion WhatsApp groups worldwide?

Internet users generate about 2.5 quintillion bytes of data each day.
With the estimated amount of data we should have by 2020 (40 zettabytes), we have to ask ourselves what’s our part in creating all that data. So, how much data is generated every day? 2.5 quintillion bytes. Now, this number seems rather high, but if we look at it in zettabytes, i.e., 0.0025 zettabytes this doesn’t seem all that much. When we add to that the fact that in 2020 we should have 40 zettabytes, we’re generating data at a regular pace.

By 2020, every person will generate 1.7 megabytes in just a second.

In 2019, there are 2.3 billion active Facebook users, and they generate a lot of data.



Let us now get deep into the stats!!

Examples of how some Tech giants are using Big Data Analytics

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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 — and is helping define how Facebook designs its data centers.

Instead of servers that include compute, memory, flash storage and HDD storage, Facebook’s disaggregated server model splits the various server components across separate racks, allowing it to tune the components for specific services and to use what Qin calls “smarter hardware refreshes” to extend useful life. By separating server resources mixes of compute, memory and storage on different racks can be combined, for example, to deliver a set of servers that can run Hadoop. As loads and usage change, the balance of components that power a service can be changed — keeping inefficiencies to a minimum.

Qin notes that the key to this approach is faster networking, with the latest technologies used to build Facebook’s first fabric-based data center in Iowa. The system is designed to work at speeds up to the network card line rate — though it’s not yet operating at that speed, as the service doesn’t need the bandwidth. Qin expects this approach to extend the life of storage modules, as Facebook can swap out memory and CPU on a different, faster, schedule.

2. Amazon

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The online retail goliath 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.

3. American Express

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The American Express Company is utilizing big data to break down and anticipate shopper conduct. By taking a gander at authentic exchanges and fusing more than 100 factors, the organization uses refined prescient models instead of conventional business insights based on knowing the past.

Current time permits an increasingly precise conjecture of potential beat and client dedication. American Express has guaranteed that, in their Australian market, they can anticipate 24% of records that will close within four months.

4. BDO

In one case, BDO Consulting Director Kirstie Tiernan noted, they had the option to cut a rundown of thousands of merchants down to twelve and, from that point, audit information exclusively for irregularities. A particular source was generally recognized rapidly.

5. Capital One

Through an examination of the social economics and ways of managing the money of clients, Capital One decides the ideal occasions to display different ideas to customers along these lines, expanding the change rates from their interchanges.

In addition to the fact that this results in better uptake, advertising systems become unquestionably more focused on and pertinent, in this way, improving spending assignment.

6. General Electric (GE)

The organization has assessed that information could support efficiency in the US by 1.5%, which, over a 20-year time frame, could spare enough money to raise typical national salaries by as much as 30%.

7. Netflix

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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

Management of BigData by IT industries ?

Master slaves Topology:

So Lets call it a wrap!! Much more to be be discussed in next blogs. Till then Stay connected. If you liked my work please show your love through that Clap.

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