INTRODUCTION TO BIG DATA
With the development of technology, social media have become part of people’s life. Each one of us uses social media like Facebook, Twitter, Instagram, Youtube every day. Have you ever thought about the suggestion result social media gives us? For instance, if we surf about a particular topic on youtube, Youtube gives us more proposals about that definite topic, which indicates that social marketers have started exploring customer’s likes and dislikes to plan their social media campaigns accordingly. How do they collect information about us?
Let’s travel back years ago,
Floppy Disks, CDs, DVDs, Hard disks are used to store data, but today we have unlimited cloud storage. Due to the drastic increase in technology, people who use the internet give information to the Outer world knowingly or unknowingly. The information inclined by the internet users together is known as the Big Data.
The term “Big Data” refers to data that is so large, fast, or complex that it’s difficult or impossible to process using traditional methods.
Big data is a term used to describe a collection of data that is huge and yet growing exponentially with time.
Characteristics of Big Data:
The 5 V’s of big data(Volume, Variety, Veracity, Value, Velocity) are the five major and innate characteristics of big data.
Volume :
Volume refers to the information quantity i.e the amount of information generated from social media, mobile phones, images, videos, etc. To determine the value of data, the size of data plays a very crucial role. If the volume of data is very large then it is considered Big Data. So these huge amounts of information can only be handled by Big Data techniques.
Variety:
Big Data is generated in multiple varieties. Variety is the arrival of data from new sources that are both inside and outside of an enterprise. For example, in Facebook, we upload images, videos, texts where images and videos are unstructured data whereas texts are structured data.
Veracity:
Veracity refers to the quality of the data that is being analyzed. In general how accurate and truthful the data is.
Example: Data in bulk could create confusion whereas less amount of data could convey half or incomplete information.
Value:
Value refers to the amount of valuable, reliable, and trustworthy data that needs to be stored, processed, analyzed to find insights. Having access to Big Data is no good unless we can turn it into value.
Velocity:
Velocity plays a major role compared to the others as it measures how fast the data is coming in. Data velocity can also speed up the decision-making process to keep up with market changes.
Applications of Big Data:
1.Marketing
2.Government sectors
3.Fraud Detection
4.Medical, Space research, Agriculture
The Duality of Big Data:
Everything in this world has its advantages and disadvantages. In the case of fire, A fire event can be beneficial to plants and animals whereas on the other hand it is also associated with negative impacts on the environment such as the devastation to wildlife.
In the same way, Big Data also has its advantages and disadvantages.
Big Data has amazing potential to improve the world like data-driven decision making, including greater accuracy, precision, efficiency, and responsibility in the use of data whereas on the other hand, the biggest disadvantage of big data is that it can make businesses softer targets for cyber attackers.
Even though these cons need to be looked up, there is no denying that the advantages greatly outweigh them.
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