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There is no place where Big Data does not exist! The curiosity about what is Big Data has been soaring in the past few years. Let me tell you some mind-boggling facts! Forbes reports that every minute, users watch 4.15 million YouTube videos, send 456,000 tweets on Twitter, post 46,740 photos on Instagram and there are 510,000 comments posted and 293,000 statuses updated on Facebook!
Just imagine the huge chunk of data that is produced with such activities. This constant creation of data using social media, business applications, telecom and various other domains is leading to the formation of Big Data. You can get a better understanding of Big Data and its various concepts from the Hadoop Course.
In order to explain what is Big Data, I will be covering the following topics:
Before exploring any further, let me begin by giving some insight into why the this technology has gained so much importance.
When was the last time you guys remember using a floppy or a CD to store your data? Let me guess, had to go way back in the early 21st century right? The use of manual paper records, files, floppy and discs have now become obsolete. The reason for this is the exponential growth of data. People began storing their data in relational database systems but with the hunger for new inventions, technologies, applications with quick response time and with the introduction of the internet, even that is insufficient now. This generation of continuous and massive data can be referred to as Big Data. There are a few other factors that characterize Big Data which I will be explaining later in this blog.
Forbes reports that there are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating. Internet of Things(IoT) is one such technology which plays a major role in this acceleration. 90% of all data today was generated in the last two years.
What is Big Data | Big Data Analytics | Edureka
This video gives you a brief introduction to Big Data. You also get to know the real-life use cases of it to understand how useful it can be.
So before I explain what is Big Data, let me also tell you what it is not! The most common myth associated with it is that it is just about the size or volume of data. But actually, it’s not just about the “big” amounts of data being collected. Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Even previously there was huge data which were being stored in databases, but because of the varied nature of this Data, the traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.
Learn more about Big Data from the Hadoop training in Washington.
The three different formats of big data are:
Following are the characteristics:
The above image depicts the five V’s of Big Data but as and when the data keeps evolving so will the V’s. I am listing five more V’s which have developed gradually over time:
Now that I have told you what is Big Data and how it’s being generated exponentially, let me present to you a very interesting example of how Starbucks, one of the leading coffeehouse chain is making use of this Big Data.
I came across this article by Forbes which reported how Starbucks made use of this technology to analyse the preferences of their customers to enhance and personalize their experience. They analysed their member’s coffee buying habits along with their preferred drinks to what time of day they are usually ordering. So, even when people visit a “new” Starbucks location, that store’s point-of-sale system is able to identify the customer through their smartphone and give the barista their preferred order. In addition, based on ordering preferences, their app will suggest new products that the customers might be interested in trying. This my friends is what we call Big Data Analytics. You can even check out the details of Big Data with the Data Engineering Course.
Basically, it is largely used by companies to facilitate their growth and development. This majorly involves applying various data mining algorithms on the given set of data, which will then aid them in better decision making.
These are some of the following domains where Big Data Applications has been revolutionized:
The above image depicts the growing market revenue of Big Data in billion U.S. dollars from the year 2011 to 2027. So that was all in the blog and I hope this was helpful. For further understanding, refer to the Hadoop training in Houston.
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